[R] MANOVA

2009-03-12 Thread Ding Xiao
Hi All,

I have questions about MANOVA which I am still not sure if appropriately I 
should use it.

For example I have a data set like this:

BloodPressure (BP)  Weight   Height
120115165
125145198
15699  176

I know that BloodPressure is correlated with both Weight and Height, however 
colinearity exists between Weight and Height. When I use BP = Weight + Height 
as the model, one is got to be insignificant. I was trying to use a BP + Weight 
= Height model, but not sure how to use it.

Should I use MANOVA? or I just have to do two equations as BP = Weight  Weight 
= Height 

Any suggestions and answers are greatly appreciated!

Ding

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Re: [R] MANOVA

2009-03-12 Thread Simon Blomberg
You only have one response variable, so MANOVA is not appropriate. One
option would be to compare BP ~ Weight + Height with BP ~ 1. That would
give you a joint test of weight and height together. Since they are
collinear, that should tell you the overall effect of size. There are
other options, most of which involve discarding some of the data. Frank
Harrell's book is a font of wisdom on this sort of thing.

Harrell, F. E., Jr. (2001). Regression Modeling Strategies. Springer.

Simon.

On Thu, 2009-03-12 at 00:20 -0600, Ding Xiao wrote:
 Hi All,
 
 I have questions about MANOVA which I am still not sure if appropriately I 
 should use it.
 
 For example I have a data set like this:
 
 BloodPressure (BP)  Weight   Height
 120115165
 125145198
 15699  176
 
 I know that BloodPressure is correlated with both Weight and Height, however 
 colinearity exists between Weight and Height. When I use BP = Weight + Height 
 as the model, one is got to be insignificant. I was trying to use a BP + 
 Weight = Height model, but not sure how to use it.
 
 Should I use MANOVA? or I just have to do two equations as BP = Weight  
 Weight = Height 
 
 Any suggestions and answers are greatly appreciated!
 
 Ding
 
   [[alternative HTML version deleted]]
 
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-- 
Simon Blomberg, BSc (Hons), PhD, MAppStat. 
Lecturer and Consultant Statistician 
School of Biological Sciences
The University of Queensland 
St. Lucia Queensland 4072 
Australia
Room 320 Goddard Building (8)
T: +61 7 3365 2506
http://www.uq.edu.au/~uqsblomb
email: S.Blomberg1_at_uq.edu.au

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2.  Your deadline is your problem.

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an answer does not ensure that a reasonable answer can 
be extracted from a given body of data. - John Tukey.

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Re: [R] Ggplot2: saving a grid with multiple plots

2009-03-12 Thread Dieter Menne
ONKELINX, Thierry Thierry.ONKELINX at inbo.be writes:

 I have managed to create a figure on the screen with multiple plots in
 it. Something like the example below. When I save that with ggsave(),
 only the last plot gets saved (pPath in the example) instead of the
 entire figure. Any suggestions how I can save this kind of figures
 automated?

No idea what the easiest way would be if you want both window and 
pdf.

Dieter

library(ggplot2)
pPoint - qplot(unemploy/pop, psavert, data=economics)
pPath - qplot(unemploy/pop, psavert, data=economics, geom=path)

pdf(file=test.pdf)
pushViewport(viewport(layout = grid.layout(2, 1)))
print(pPoint, vp = viewport(layout.pos.row = 1, layout.pos.col = 1))
print(pPath, vp = viewport(layout.pos.row = 2, layout.pos.col = 1))
dev.off()

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[R] e1071 SVM one-classification tune problem

2009-03-12 Thread Alfonso Torres
Hello all,

I am using the e1071 SVM with the tune options for classification, which work 
pretty well, given the examples of using tune.svm function for classification. 
But I have not found any example to tune the SVM novelty detection 
(one-classification) parameters (gamma, cost, nu), for example this are some of 
the options I have tried with no success:

obj-tune(svm, x,y, type =one-classification, gamma=2^(-1:1), cost=2^(1:3), 
nu=2^(-3:-1))
obj-tune(svm, x,y, type =one-classification, cost=2^(1:3), nu=2^(-3:-1))
obj-tune(svm, x,y, type =one-classification, gamma=2^(-1:1), nu=2^(-3:-1))
obj-tune(svm, x,y, type =one-classification, nu=2^(-3:-1))
obj-tune(svm, x,y, type =one-classification, gamma=2^(-1:1), cost=2^(1:3))

y is expressed as factor of [ 1,-1] values

also I tried:
obj-tune(svm, x,y, type =one-classification, ranges = list(gamma=2^(-1:1), 
cost=2^(1:3), nu=2^(-3:-1)))
and all the parameters combination showed above, but always the same message: 

Error in tune(svm, x, y, ranges = .., type = one-classification) : 
  Dependent variable has wrong type!

But if I try:

svm.model -svm(x,y,type = one-classification,gamma=2, cost =3, nu=0.001)

it runs without problems. Please, let me know whether what I should change in 
my code or the e1071 tune function does not work with SVM one-classification

Alfonso Torres
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[R] Removing

2009-03-12 Thread Tammy Ma

 Hi All,


 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

I want to change act_2 to 
 DateDtime Hour Min Second   Rep

51 2006-02-22 14:52:18   14  52 18  useractivity_act

52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

in other word, I want to keep 1st if there are many repeated value, I made the 
program as:


rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[j]==act_2$Rep[i]){
   act_2-act_2[-j,]
 }else{
 act_2-act_2
 }
 }
return(act_2)
}

But it only remove one row..whats the problem? How should i modify it? Thanks  
alot.

Tammy


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Re: [R] Ggplot2: saving a grid with multiple plots

2009-03-12 Thread ONKELINX, Thierry
Dear all,

Thanks for all your responses. It looks like I was misinterpreting the
capabilities of ggsave(). That can only handle the basic ggplot2 plots
(which can be very elaborate). This behaviour is decribed at the end of
chapter 8 in the ggplot2 book, but I missed that.

Opening and closing a device works well.

Cheers,

Thierry




ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium 
tel. + 32 54/436 185
thierry.onkel...@inbo.be 
www.inbo.be 

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens Dieter Menne
Verzonden: donderdag 12 maart 2009 9:04
Aan: r-h...@stat.math.ethz.ch
Onderwerp: Re: [R] Ggplot2: saving a grid with multiple plots

ONKELINX, Thierry Thierry.ONKELINX at inbo.be writes:

 I have managed to create a figure on the screen with multiple plots in
 it. Something like the example below. When I save that with ggsave(),
 only the last plot gets saved (pPath in the example) instead of the
 entire figure. Any suggestions how I can save this kind of figures
 automated?

No idea what the easiest way would be if you want both window and 
pdf.

Dieter

library(ggplot2)
pPoint - qplot(unemploy/pop, psavert, data=economics)
pPath - qplot(unemploy/pop, psavert, data=economics, geom=path)

pdf(file=test.pdf)
pushViewport(viewport(layout = grid.layout(2, 1)))
print(pPoint, vp = viewport(layout.pos.row = 1, layout.pos.col = 1))
print(pPath, vp = viewport(layout.pos.row = 2, layout.pos.col = 1))
dev.off()

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[R] Removing rows

2009-03-12 Thread Tammy Ma


 Hi All,
 
 
 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
I want to change act_2 to 
 DateDtime Hour Min Second   Rep
 
51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
in other word, I want to keep 1st if there are many repeated value, I made the 
program as:
 
 
rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
 }
return(act_2)
}
 
when it moved one row on 1st loop, i should still start 2 but it become 3 at 
2nd loop, if I add i-i-1, then i go to 1
seems not reasonbale. How should I modify it`?
 
Tammy
 
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Re: [R] R library help files

2009-03-12 Thread Uwe Ligges



Dajiang Liu wrote:

Dear All,

I am writing an R library myself. The package build ok, and can be installed. But when I load the library into R using library('xyz'), then I type ?xyz for help in one of the functions named xyz as well, the following error occured, 
No documentation for 'xyz' in specified packages and libraries:

I do put the .Rd files into the man folder, and the html help files are all 
well generated.



Have you specified

\alias{xyz}

in the Rd file?
Also, run R CMD check on your package which will tell you about such 
problems.


Uwe Ligges


Does anyone encounter this before or have any clue about what might cause this? 


Thanks a lot!
Regards,
Dajiang


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Re: [R] who can give me some hint?

2009-03-12 Thread Simon Pickett


Hi All,



act_2

DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

I want to change act_2 to
DateDtime Hour Min Second   Rep

51 2006-02-22 14:52:18   14  52 18  useractivity_act

52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

in other word, I want to keep 1st if there are many repeated value, I made 
the program as:


Not sure what you mean here, can you describe this more fully?

It seems that you might be able to avoid using loops if all you want to do 
is select only the rows where column x is less than a threshold value.

e.g.
a-a[a$columnx1000,]

Hope this helps

Simon.


rm_r-function(act_2){
dm-dim(act_2)[1]-1
for(i in 2:dm){

if(act_2$Rep[i+1]==act_2$Rep[i]){
  act_2-act_2[-(i+1),]
  }else{
  act_2-act_2
  }
}
return(act_2)
}

when it moved one row on 1st loop, i should still start 2 but it become 3 at 
2nd loop, if I add i-i-1, then i go to 1

seems not reasonbale. How should I modify it`?

Tammy
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Re: [R] who can give me some hint?

2009-03-12 Thread Richard . Cotton
  Hi All,
 
 
  act_2
  DateDtime Hour Min Second   Rep
 51 2006-02-22 14:52:18   14  52 18  useractivity_act
 52 2006-02-22 14:52:18   14  52 18 4
 55 2006-02-22 14:52:49   14  52 49 4
 57 2006-02-22 14:52:51   14  52 51 4
 58 2006-02-22 14:52:52   14  52 52 3
 60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
 I want to change act_2 to 
  DateDtime Hour Min Second   Rep
 
 51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
 52 2006-02-22 14:52:18   14  52 18 4
 58 2006-02-22 14:52:52   14  52 52 3
 60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
 in other word, I want to keep 1st if there are many repeated value, 
 I made the program as:
 
 
 rm_r-function(act_2){
  dm-dim(act_2)[1]-1
  for(i in 2:dm){
 
  if(act_2$Rep[i+1]==act_2$Rep[i]){
act_2-act_2[-(i+1),]
}else{
act_2-act_2
}
  }
 return(act_2)
 }
 
 when it moved one row on 1st loop, i should still start 2 but it 
 become 3 at 2nd loop, if I add i-i-1, then i go to 1
 seems not reasonbale. How should I modify it`?

Please don't repeatedly post the same question - it is irritating, and 
you're not likely to get a favourable response.  Try explaining your 
problem more clearly.  What is the condition that you want to use to keep 
rows?  (In your example, each of the rows is different, yet you kept some 
and discarded others.)

If you just want to discard some rows form a data frame, you don't need a 
loop, e.g.

dfr - data.frame(x=1:10, y=runif(10))
dfr[c(1,3,5,5),]

Regards,
Richie.

Mathematical Sciences Unit
HSL




ATTENTION:

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[R] who can give me some hint?

2009-03-12 Thread Tammy Ma


 
 Hi All,
 
 
 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
I want to change act_2 to 
 DateDtime Hour Min Second   Rep
 
51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
in other word, I want to keep 1st if there are many repeated value, I made the 
program as:
 
 
rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
 }
return(act_2)
}
 
when it moved one row on 1st loop, i should still start 2 but it become 3 at 
2nd loop, if I add i-i-1, then i go to 1
seems not reasonbale. How should I modify it`?
 
Tammy
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Re: [R] can I draw 3D plot like this using R?

2009-03-12 Thread Duncan Murdoch

On 11/03/2009 11:35 PM, Oliver wrote:

hi, all

I am looking at R package RGL to draw a colored mesh/surface plot like
this one (from matlab).
http://www.mathworks.com/access/helpdesk/help/techdoc/visualize/cbar.gif

The key features I am looking for is surfaced with grid and color, but
not the terrain-like gradient.  but I didn't come even close to it
after browsing through rgl help file.


It is a little tricky to draw both lines and solid colours on a surface 
in rgl, because one will hide the other:  there's no way to turn off the 
hidden object removal in rgl.


The easiest way to do it would be to draw the grid slightly above the 
surface.  For example,


x - seq(-2, 2, len=17)
y - seq(-2, 2, len=17)
z - outer(x,y, function(x,y) exp(-y^2)*sin(1.5*x))
color - rainbow(41)[1+round(10*outer(x,y, function(x,y) x^2 + y^2))]

persp3d(x,y,z, color=color, smooth=FALSE)
surface3d(x,y,z+0.001, front=lines, back=culled)

(Fiddle with the 0.001 value if the grid disappears behind the surface, 
or floats too high above it.)


Another way would be to draw the grid (and maybe the colour) as a texture.

Duncan Murdoch


have anyone drawn something like this before, is this doable afterall?

thanks

Oliver

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[R] problem with 'abline' in a regression with repeated measures

2009-03-12 Thread Marc Carpentier
Hi everybody.
I'm just learning to use R. I've got a strange problem and I couldn't find any 
answer to my problem. So here am I.

I want to visualize a model of regression on repeated measures :
5 measures (y) by x-value (lx for log10(x) ; lxf colonn is for as.factor) ; 5 
x-values.

I fail to use 'abline' command (regression's line don't display) in this 
particular context, on a 'stripchart' display. Any idea ?
Here are the few commands that I execute, the lattest being my problem :

 tab - read.csv2(ex3.csv)
 sapply(tab,data.class)
    sujet x    xf    lx   lxf y 
numeric numeric numeric numeric numeric numeric 
 attach(tab)
 lxf - as.factor(lxf)

 model1 - lm(y~lx)
 model2 - lm(y~lxf)
 model3 - lm(y~lx+lxf)

 ym - tapply(y,lxf,mean)
 ym
 -0.9  -0.6  -0.3 0   0.3 
 43.0  60.6  77.2  92.2 109.4

 stripchart(y~lx, method=jitter, jitter=.1, vertical=T, pch=20)
 lines (1:5, ym, type=b, pch=4, cex=2, lty=2)
 abline(model1)        ## I don't understand why it doesn't work ; neither do 
 abline(coef(model1) or abline(92,45)
## It usually works on any regression, but stripchart maybe is a special plot ; 
I suspect an absciss misunderstanding by abline...

Thanks for any help.


I simulated this data set :
lx lxf y 
-0,9 -0,9 47 
-0,9 -0,9 41 
-0,9 -0,9 44 
-0,9 -0,9 38 
-0,9 -0,9 45 
-0,6 -0,6 58 
-0,6 -0,6 63 
-0,6 -0,6 58 
-0,6 -0,6 58 
-0,6 -0,6 66 
-0,3 -0,3 78 
-0,3 -0,3 79 
-0,3 -0,3 78 
-0,3 -0,3 77 
-0,3 -0,3 74 
0 0 96 
0 0 91 
0 0 97 
0 0 85 
0 0 92 
0,3 0,3 109 
0,3 0,3 114 
0,3 0,3 111 
0,3 0,3 104 
0,3 0,3 109 


  
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[R] Hi, I'm working with custom slides(Cy5) and worki...

2009-03-12 Thread david david

Hi,
I'm working with custom slides(Cy5) and working in the normalization of the 
arrays.
I have three arrays (technical replicates).
I have sucesfully normalized the data using vsn, however i would like to 
compare it to the normalization using spike in controls.

My controls are annotated as control-1 to x and i would like to do etiher a 
normalization by block per array or the mean of all the controls per array.

Here is the code:

library(limma)
library(RColorBrewer)
library(vsn)
Cy5 - F635 Mean
Cy5b - B635 Mean
targets - readTargets(targets.txt)
#My gpr files do only contain 1 channel (Cy5)
RG - read.maimages( 
targets$FileName,source=genepix,columns=list(R=Cy5,G=Cy5, Rb=Cy5b, Gb=Cy5b))
RG$G - NULL
RG$Gb - NULL

#Here are my spike in controls for normalization
isSpikeIn - grep(CTL, RG$genes$Name)

#The vsn normalization works fine
mat - vsnMatrix(RG$R)

However i would like to normaliza using my spikein controls by block or by 
using the mean of all controls.

Could you help on that ??

thanks,
david









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[R] RES: Removing rows

2009-03-12 Thread Leandro Marino
Hi Tammy,

You can do:

act_2temp -  act_2[which(!duplicated(act_2[,c(1:5)])),]
act_2temp[1:5,]
act_2 - act_2temp
rm(act_2temp)

Atenciosamente,
Leandro Lins Marino
Centro de Avaliação
Fundação CESGRANRIO
Rua Santa Alexandrina, 1011 - 2º andar
Rio de Janeiro, RJ - CEP: 20261-903
R (21) 2103-9600 R.:236 
( (21) 8777-7907
( lean...@cesgranrio.org.br

Aquele que suporta o peso da sociedade
é precisamente aquele que obtém
 as menores vantagens. (SMITH, Adam)

  Antes de imprimir pense em sua responsabilidade e compromisso com o MEIO 
AMBIENTE 

-Mensagem original-
De: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Em nome 
de Tammy Ma
Enviada em: quinta-feira, 12 de março de 2009 06:49
Para: r-help@r-project.org
Assunto: [R] Removing rows



 Hi All,
 
 
 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
I want to change act_2 to 
 DateDtime Hour Min Second   Rep
 
51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
in other word, I want to keep 1st if there are many repeated value, I made the 
program as:
 
 
rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
 }
return(act_2)
}
 
when it moved one row on 1st loop, i should still start 2 but it become 3 at 
2nd loop, if I add i-i-1, then i go to 1
seems not reasonbale. How should I modify it`?
 
Tammy
 
_
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Re: [R] who can give me some hint?

2009-03-12 Thread Gabor Grothendieck
I assume the problem is to only keep those rows whose
Rep value is not equal to the Rep value in the prior row.
In that case just compare c(, Rep[-nr]) to Rep and
use the resulting vector, ix, to select out rows.
Rep - as.character(act_2$Rep) could
be simplified to Rep - act_2$Rep if Rep
is already known to be character.


Lines - DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

act_2 - read.table(textConnection(Lines), header = TRUE, as.is = TRUE)

nr - nrow(act_2)
Rep - as.character(act_2$Rep)
ix - Rep != c(, Rep[-nr])
act_2[ix]

On Thu, Mar 12, 2009 at 6:25 AM, Tammy Ma metal_lical...@live.com wrote:



  Hi All,


 act_2
         Date    Dtime Hour Min Second               Rep
 51 2006-02-22 14:52:18   14  52     18  useractivity_act
 52 2006-02-22 14:52:18   14  52     18                 4
 55 2006-02-22 14:52:49   14  52     49                 4
 57 2006-02-22 14:52:51   14  52     51                 4
 58 2006-02-22 14:52:52   14  52     52                 3
 60 2006-02-22 14:54:42   14  54     42 useractivity_idle

 I want to change act_2 to
         Date    Dtime Hour Min Second               Rep

 51 2006-02-22 14:52:18   14  52     18  useractivity_act

 52 2006-02-22 14:52:18   14  52     18                 4
 58 2006-02-22 14:52:52   14  52     52                 3
 60 2006-02-22 14:54:42   14  54     42 useractivity_idle

 in other word, I want to keep 1st if there are many repeated value, I made 
 the program as:


 rm_r-function(act_2){
  dm-dim(act_2)[1]-1
  for(i in 2:dm){

  if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
  }
 return(act_2)
 }

 when it moved one row on 1st loop, i should still start 2 but it become 3 at 
 2nd loop, if I add i-i-1, then i go to 1
 seems not reasonbale. How should I modify it`?

 Tammy
 _
 Drag n’ drop—Get easy photo sharing with Windows Live™ Photos.

 http://www.microsoft.com/windows/windowslive/products/photos.aspx
        [[alternative HTML version deleted]]


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 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



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Re: [R] who can give me some hint?

2009-03-12 Thread Tammy Ma


Thanks a lot for your reply.

I expect a more flexible solution. Because I couldn't check that column one by 
one.

If another Rep colum is: 
 useractivity_act
2
2
3
3
3
4
5
5
6
useractivity_idle
i should be able to write a program to make it as:
useractivity_act
2
3
4
5
6
useractivity_idle

Only keep 1st value of repeated values.
I have been working no it for a whileStill didnt get solution.
Thanks for your concentration.

Tammy

 Date: Thu, 12 Mar 2009 08:03:11 -0400
 Subject: Re: [R] who can give me some hint?
 From: ggrothendi...@gmail.com
 To: metal_lical...@live.com
 CC: r-help@r-project.org
 
 I assume the problem is to only keep those rows whose
 Rep value is not equal to the Rep value in the prior row.
 In that case just compare c(, Rep[-nr]) to Rep and
 use the resulting vector, ix, to select out rows.
 Rep - as.character(act_2$Rep) could
 be simplified to Rep - act_2$Rep if Rep
 is already known to be character.
 
 
 Lines - DateDtime Hour Min Second   Rep
 51 2006-02-22 14:52:18   14  52 18  useractivity_act
 52 2006-02-22 14:52:18   14  52 18 4
 55 2006-02-22 14:52:49   14  52 49 4
 57 2006-02-22 14:52:51   14  52 51 4
 58 2006-02-22 14:52:52   14  52 52 3
 60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
 act_2 - read.table(textConnection(Lines), header = TRUE, as.is = TRUE)
 
 nr - nrow(act_2)
 Rep - as.character(act_2$Rep)
 ix - Rep != c(, Rep[-nr])
 act_2[ix]
 
 On Thu, Mar 12, 2009 at 6:25 AM, Tammy Ma metal_lical...@live.com wrote:
 
 
 
   Hi All,
 
 
  act_2
  DateDtime Hour Min Second   Rep
  51 2006-02-22 14:52:18   14  52 18  useractivity_act
  52 2006-02-22 14:52:18   14  52 18 4
  55 2006-02-22 14:52:49   14  52 49 4
  57 2006-02-22 14:52:51   14  52 51 4
  58 2006-02-22 14:52:52   14  52 52 3
  60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
  I want to change act_2 to
  DateDtime Hour Min Second   Rep
 
  51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
  52 2006-02-22 14:52:18   14  52 18 4
  58 2006-02-22 14:52:52   14  52 52 3
  60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
  in other word, I want to keep 1st if there are many repeated value, I made 
  the program as:
 
 
  rm_r-function(act_2){
   dm-dim(act_2)[1]-1
   for(i in 2:dm){
 
   if(act_2$Rep[i+1]==act_2$Rep[i]){
act_2-act_2[-(i+1),]
}else{
act_2-act_2
}
   }
  return(act_2)
  }
 
  when it moved one row on 1st loop, i should still start 2 but it become 3 
  at 2nd loop, if I add i-i-1, then i go to 1
  seems not reasonbale. How should I modify it`?
 
  Tammy
  _
  Drag n’ drop—Get easy photo sharing with Windows Live™ Photos.
 
  http://www.microsoft.com/windows/windowslive/products/photos.aspx
 [[alternative HTML version deleted]]
 
 
  __
  R-help@r-project.org mailing list
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  PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 
 

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[R] regsubsets() [leaps package] - please share some good examples of use

2009-03-12 Thread Tal Galili
Hello dear R-help members,

I recently became interested in using biglm with leaps, and found myself
somewhat confused as to how to use the two together, in different settings.

I couldn't find any example codes for the leaps() package (except for in the
help file, and the examples there are not as rich as they could be).  That
is why I turn to you in case you could share some good tips and examples of
code on how to use the leaps package (especially the regsubsets command)


The problem that drives me to ask this is: how to use the regsubsets()
command to immulate a forward model selection procedure on a regressions
problem ?

I attach below a few direction dear Thomas has already wrote to me on the
subject, and any help would be very welcomed:

*me:*
I feel I am missing a big something here, so please help me here -
Let's say we have a dataset with an X matrix of 10 variables, and all we
want to perform is forward variable selection with AIC, starting from
the minimal model that includes the intercept only, and with the maximum
model of all variable and their interaction up to the second order.
In that range, we wish to find the best model, based on forward selection.

*Thomas:*
Use biglm() to fit the model with all main effects and all second order
interactions.  This model will be the maximum model for selection.

The minimum model, by default, is the model with only an intercept, so you
don't need to specify anything.  If the minimum model is more complicated,
the vector force.in specifies which terms are in the minimum model (a
logical vector with TRUE for variables in the minimum model and FALSE for
variables not in the minimum model).

regsubsets() will give you the best model with one variable, the best with
two variables, and so on. The object produced by summary() of the
regsubsets() has a component $cp that gives Mallows' Cp for each of the best
models. This is equivalent to AIC, or you can compute AIC from the residual
sum of squares in the $rss component of the object.

regsubsets() doesn't actually fit the models, it just works out the residual
sum of squares. You need to take the output of regsubsets() and then fit
which ever of the best models you want coefficients for.
summary(regsubsets.object)$which is a logical matrix indicating which
variables are in each of the best models.
This may seem unnecessarily complicated, but regsubsets() was designed for
situations where you want lots of best models rather than just one, since
there are often lots of models that are about equally good.  That's the
point of the
plot() method, where you can look at hundreds of best models from 30 or so
variables and see which variables are in most of the good models, and which
variables tend to occur together or separately -- for example, if you have
two related variables such as systolic blood pressure and diastolic blood
pressure do they substitute for each other or do they tend to occur in the
same model.



Thanks all (and again - thanks Thomas for all your patient answers so far)
Tal



p.s: I already sent this e-mail once, but couldn't seem to see it on the
list, so I resent it again - sorry if any of you got it twice.



--


My contact information:
Tal Galili
Phone number: 972-50-3373767
FaceBook: Tal Galili
My Blogs:
www.talgalili.com
www.biostatistics.co.il

[[alternative HTML version deleted]]

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and provide commented, minimal, self-contained, reproducible code.


[R] RES: RES: Removing rows

2009-03-12 Thread Leandro Marino
Sorry,

act_2temp -  act_2[which(!duplicated(act_2[,c(1: 6 )])),] # not 5


Atenciosamente,
Leandro Lins Marino
Centro de Avaliação
Fundação CESGRANRIO
Rua Santa Alexandrina, 1011 - 2º andar
Rio de Janeiro, RJ - CEP: 20261-903
R (21) 2103-9600 R.:236 
( (21) 8777-7907
( lean...@cesgranrio.org.br

Aquele que suporta o peso da sociedade
é precisamente aquele que obtém
 as menores vantagens. (SMITH, Adam)

  Antes de imprimir pense em sua responsabilidade e compromisso com o MEIO 
AMBIENTE 


-Mensagem original-
De: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Em nome 
de Leandro Marino
Enviada em: quinta-feira, 12 de março de 2009 08:55
Para: 'Tammy Ma'; r-help@r-project.org
Assunto: [R] RES: Removing rows

Hi Tammy,

You can do:

act_2temp -  act_2[which(!duplicated(act_2[,c(1:5)])),]
act_2temp[1:5,]
act_2 - act_2temp
rm(act_2temp)

Atenciosamente,
Leandro Lins Marino
Centro de Avaliação
Fundação CESGRANRIO
Rua Santa Alexandrina, 1011 - 2º andar
Rio de Janeiro, RJ - CEP: 20261-903
R (21) 2103-9600 R.:236 
( (21) 8777-7907
( lean...@cesgranrio.org.br

Aquele que suporta o peso da sociedade
é precisamente aquele que obtém
 as menores vantagens. (SMITH, Adam)

  Antes de imprimir pense em sua responsabilidade e compromisso com o MEIO 
AMBIENTE 

-Mensagem original-
De: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Em nome 
de Tammy Ma
Enviada em: quinta-feira, 12 de março de 2009 06:49
Para: r-help@r-project.org
Assunto: [R] Removing rows



 Hi All,
 
 
 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
I want to change act_2 to 
 DateDtime Hour Min Second   Rep
 
51 2006-02-22 14:52:18   14  52 18  useractivity_act
 
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle
 
in other word, I want to keep 1st if there are many repeated value, I made the 
program as:
 
 
rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
 }
return(act_2)
}
 
when it moved one row on 1st loop, i should still start 2 but it become 3 at 
2nd loop, if I add i-i-1, then i go to 1
seems not reasonbale. How should I modify it`?
 
Tammy
 
_
News, entertainment and everything you care about at Live.com. Get it now!
http://www.live.com/getstarted.aspx
[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] who can give me some hint?

2009-03-12 Thread Gabor Grothendieck
Its not clear what more flexible refers to.  The posted solution
already produces the sample output you showed.  What else
should it do?

On Thu, Mar 12, 2009 at 8:15 AM, Tammy Ma metal_lical...@live.com wrote:

 Thanks a lot for your reply.

 I expect a more flexible solution. Because I couldn't check that column one
 by one.

 If another Rep colum is:
 useractivity_act
 2
 2
 3
 3
 3
 4
 5
 5
 6
 useractivity_idle
 i should be able to write a program to make it as:
 useractivity_act
 2
 3
 4
 5
 6
 useractivity_idle

 Only keep 1st value of repeated values.
 I have been working no it for a whileStill didnt get solution.
 Thanks for your concentration.

 Tammy

 Date: Thu, 12 Mar 2009 08:03:11 -0400
 Subject: Re: [R] who can give me some hint?
 From: ggrothendi...@gmail.com
 To: metal_lical...@live.com
 CC: r-help@r-project.org

 I assume the problem is to only keep those rows whose
 Rep value is not equal to the Rep value in the prior row.
 In that case just compare c(, Rep[-nr]) to Rep and
 use the resulting vector, ix, to select out rows.
 Rep - as.character(act_2$Rep) could
 be simplified to Rep - act_2$Rep if Rep
 is already known to be character.


 Lines - Date Dtime Hour Min Second Rep
 51 2006-02-22 14:52:18 14 52 18 useractivity_act
 52 2006-02-22 14:52:18 14 52 18 4
 55 2006-02-22 14:52:49 14 52 49 4
 57 2006-02-22 14:52:51 14 52 51 4
 58 2006-02-22 14:52:52 14 52 52 3
 60 2006-02-22 14:54:42 14 54 42 useractivity_idle

 act_2 - read.table(textConnection(Lines), header = TRUE, as.is = TRUE)

 nr - nrow(act_2)
 Rep - as.character(act_2$Rep)
 ix - Rep != c(, Rep[-nr])
 act_2[ix]

 On Thu, Mar 12, 2009 at 6:25 AM, Tammy Ma metal_lical...@live.com wrote:
 
 
 
   Hi All,
 
 
  act_2
          Date    Dtime Hour Min Second               Rep
  51 2006-02-22 14:52:18   14  52     18  useractivity_act
  52 2006-02-22 14:52:18   14  52     18                 4
  55 2006-02-22 14:52:49   14  52     49                 4
  57 2006-02-22 14:52:51   14  52     51                 4
  58 2006-02-22 14:52:52   14  52     52                 3
  60 2006-02-22 14:54:42   14  54     42 useractivity_idle
 
  I want to change act_2 to
          Date    Dtime Hour Min Second               Rep
 
  51 2006-02-22 14:52:18   14  52     18  useractivity_act
 
  52 2006-02-22 14:52:18   14  52     18                 4
  58 2006-02-22 14:52:52   14  52     52                 3
  60 2006-02-22 14:54:42   14  54     42 useractivity_idle
 
  in other word, I want to keep 1st if there are many repeated value, I
  made the program as:
 
 
  rm_r-function(act_2){
   dm-dim(act_2)[1]-1
   for(i in 2:dm){
 
   if(act_2$Rep[i+1]==act_2$Rep[i]){
    act_2-act_2[-(i+1),]
    }else{
    act_2-act_2
    }
   }
  return(act_2)
  }
 
  when it moved one row on 1st loop, i should still start 2 but it become
  3 at 2nd loop, if I add i-i-1, then i go to 1
  seems not reasonbale. How should I modify it`?
 
  Tammy
  _
  Drag n’ drop—Get easy photo sharing with Windows Live™ Photos.
 
  http://www.microsoft.com/windows/windowslive/products/photos.aspx
         [[alternative HTML version deleted]]
 
 
  __
  R-help@r-project.org mailing list
  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
  http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 
 

 
 Get news, entertainment and everything you care about at Live.com. Check it
 out!

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] help with loop

2009-03-12 Thread Rafael Moral
Dear useRs,
I'm trying to write a loop to sum my data in the following way:
(the second - the first) + (the third - the second) + (the fourth - the third) 
+ ...
for each column.

So, I wrote something like this:

  c - list()
  for(i in 1:ncol(mydata)) {
  for(j in 2:nrow(mydata)) {
  c[[i]] - sum(yc[j,i] - yc[(j-1),i])
  }}}

As for the columns it works pretty fine, but it only returns the last 
subtraction, however, I need the sum of all subtractions.

Any ideas?

Regards,
Rafael.


  Veja quais são os assuntos do momento no Yahoo! +Buscados

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] help with loop

2009-03-12 Thread Nutter, Benjamin
Why use a loop? Try using diff()

x - c(4, 19, 21, 45, 50, 73, 78, 83, 87, 94)
sum(diff(x))

-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
Behalf Of Rafael Moral
Sent: Thursday, March 12, 2009 9:04 AM
To: r-help@r-project.org
Subject: [R] help with loop

Dear useRs,
I'm trying to write a loop to sum my data in the following way:
(the second - the first) + (the third - the second) + (the fourth - the third) 
+ ...
for each column.

So, I wrote something like this:

  c - list()
  for(i in 1:ncol(mydata)) {
  for(j in 2:nrow(mydata)) {
  c[[i]] - sum(yc[j,i] - yc[(j-1),i])
  }}}

As for the columns it works pretty fine, but it only returns the last 
subtraction, however, I need the sum of all subtractions.

Any ideas?

Regards,
Rafael.


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Re: [R] help with loop

2009-03-12 Thread Wacek Kusnierczyk
is your data a data frame or a matrix?  do you want to compute the
differences columnwise, i.e., for each column independently?  consider
this example:

# generate and display dummy data
(d = as.data.frame(replicate(3, sample(5

# compute successive differences columnwise
as.data.frame(apply(d, 2, diff))
apply(as.matrix(d), 2, diff)

see ?apply and ?diff for details.  note that apply will return a matrix
both when given a data frame and when given a matrix.

vQ


Rafael Moral wrote:
 Dear useRs,
 I'm trying to write a loop to sum my data in the following way:
 (the second - the first) + (the third - the second) + (the fourth - the 
 third) + ...
 for each column.

 So, I wrote something like this:

   c - list()
   for(i in 1:ncol(mydata)) {
   for(j in 2:nrow(mydata)) {
   c[[i]] - sum(yc[j,i] - yc[(j-1),i])
   }}}

 As for the columns it works pretty fine, but it only returns the last 
 subtraction, however, I need the sum of all subtractions.

 Any ideas?

 Regards,
 Rafael.


   Veja quais são os assuntos do momento no Yahoo! +Buscados

   [[alternative HTML version deleted]]

   
 

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Re: [R] help with loop

2009-03-12 Thread Romain Francois


Hi,

Try this;

lapply( mydata, function(x){
   sum( diff( x ) )
} )

Romain

Rafael Moral wrote:

Dear useRs,
I'm trying to write a loop to sum my data in the following way:
(the second - the first) + (the third - the second) + (the fourth - the third) 
+ ...
for each column.

So, I wrote something like this:

  c - list()
  for(i in 1:ncol(mydata)) {
  for(j in 2:nrow(mydata)) {
  c[[i]] - sum(yc[j,i] - yc[(j-1),i])
  }}}

As for the columns it works pretty fine, but it only returns the last 
subtraction, however, I need the sum of all subtractions.

Any ideas?

Regards,
Rafael.


  Veja quais são os assuntos do momento no Yahoo! +Buscados

[[alternative HTML version deleted]]

  



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and provide commented, minimal, self-contained, reproducible code.
  



--
Romain Francois
Independent R Consultant
+33(0) 6 28 91 30 30
http://romainfrancois.blog.free.fr

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Re: [R] help with loop

2009-03-12 Thread Richard . Cotton
 I'm trying to write a loop to sum my data in the following way:
 (the second - the first) + (the third - the second) + (the fourth - 
 the third) + ...
 for each column.

This is just sum(diff(x)), or even x[length(x)] - x[1].

Regards,
Richie.

Mathematical Sciences Unit
HSL



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Re: [R] help with loop

2009-03-12 Thread Romain Francois

Well actually, what about that (Assuming mydata is a data frame)

tail( mydata, 1 ) - head( mydata, 1)

since:

(the second - the first) + (the third - the second) + (the fourth - the third) 
= the last - the first

Romain

Rafael Moral wrote:

Dear useRs,
I'm trying to write a loop to sum my data in the following way:
(the second - the first) + (the third - the second) + (the fourth - the third) 
+ ...
for each column.

So, I wrote something like this:

  c - list()
  for(i in 1:ncol(mydata)) {
  for(j in 2:nrow(mydata)) {
  c[[i]] - sum(yc[j,i] - yc[(j-1),i])
  }}}

As for the columns it works pretty fine, but it only returns the last 
subtraction, however, I need the sum of all subtractions.

Any ideas?

Regards,
Rafael.

  



--
Romain Francois
Independent R Consultant
+33(0) 6 28 91 30 30
http://romainfrancois.blog.free.fr

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Re: [R] help with loop

2009-03-12 Thread Gabor Grothendieck
This is a telescoping sum that can be calculated analytically as:

(a[2] - a[1]) + ... + (a[n] - a[n-1]) = a[n] - a[1]



On Thu, Mar 12, 2009 at 9:04 AM, Rafael Moral
rafa_moral2...@yahoo.com.br wrote:
 Dear useRs,
 I'm trying to write a loop to sum my data in the following way:
 (the second - the first) + (the third - the second) + (the fourth - the 
 third) + ...
 for each column.

 So, I wrote something like this:

   c - list()
   for(i in 1:ncol(mydata)) {
   for(j in 2:nrow(mydata)) {
   c[[i]] - sum(yc[j,i] - yc[(j-1),i])
   }}}

 As for the columns it works pretty fine, but it only returns the last 
 subtraction, however, I need the sum of all subtractions.

 Any ideas?

 Regards,
 Rafael.


      Veja quais são os assuntos do momento no Yahoo! +Buscados

        [[alternative HTML version deleted]]


 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



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Re: [R] help with loop

2009-03-12 Thread Jorge Ivan Velez
Dear Rafael,
Perhaps:

sum(diff(x))

where x is your vector. To apply above to your data set (by rows), you could
use

apply(mydata,1,function(x) sum(diff(x)))

See ?diff, ?sum and ?apply for more information.

HTH,

Jorge


On Thu, Mar 12, 2009 at 9:04 AM, Rafael Moral
rafa_moral2...@yahoo.com.brwrote:

 Dear useRs,
 I'm trying to write a loop to sum my data in the following way:
 (the second - the first) + (the third - the second) + (the fourth - the
 third) + ...
 for each column.

 So, I wrote something like this:

   c - list()
   for(i in 1:ncol(mydata)) {
   for(j in 2:nrow(mydata)) {
   c[[i]] - sum(yc[j,i] - yc[(j-1),i])
   }}}

 As for the columns it works pretty fine, but it only returns the last
 subtraction, however, I need the sum of all subtractions.

 Any ideas?

 Regards,
 Rafael.


  Veja quais são os assuntos do momento no Yahoo! +Buscados

[[alternative HTML version deleted]]


 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
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 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



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Re: [R] help with loop

2009-03-12 Thread baptiste auguie


On 12 Mar 2009, at 13:22, richard.cot...@hsl.gov.uk wrote:


I'm trying to write a loop to sum my data in the following way:
(the second - the first) + (the third - the second) + (the fourth -
the third) + ...
for each column.


This is just sum(diff(x)), or even x[length(x)] - x[1].



I think rowSums gives what's intended,

rowSums(diff( matrix(c(1,2,3,4,5,6),ncol=2) ))

(but i'd give heads or tails as to whether this was an  
oversimplification of the real problem )



baptiste



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[R] batch process file in R

2009-03-12 Thread tedzzx

Dear R experts,

I have a folder names 200209 and in this folder there are many data files,
such as: 
BA020902.txt,BA020903.txt,BA020904.txt,
BA020905.txt,BA020906.txt,BA020909.txt,
BA020910.txt,BA020911.txt,BA020912.txt,
BA020913.txt,BA020916.txt,BA020917.txt,
BA020918.txt,BA020919.txt,BA020920.txt,
BA020923.txt,BA020924.txt,BA020925.txt,
BA020926.txt,BA020927.txt,BA020930.txt,
GMAS0209.txt,MAST0209.txt

I want to imort all these data files into R at once without typing tedious 
a-read.table(BA020902.txt),
b-read.table(BA020903.txt).

Thanks

Ted


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[R] Randomization, line and spatial coordinates

2009-03-12 Thread PLAFF

Hi all,

I would like to know how to create n equidistant random points along a
multisegment line/object of class psp and to retrieve the coordinates of
those generated random points. 

thanks

P.L.
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[R] How to install R-2.8.1 on AIX

2009-03-12 Thread 王峰
Hi:
   I can't install the R-2.8.1 on the machine IBM AIX according the
instruction configuratioin(OBJECT_MODE=64). I can successfully
./configure ***, and get a Makefile. But during compiling the source code,
there is some problem I can't fix it. Please tell me some tips about how to
install the R on my AIX. thankx very much.

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[R] zooreg and lmrob problem (bug?)

2009-03-12 Thread Víctor Homar
Hi all and thanks for your time in advance,

I can't figure out why summary.lmrob complains when lmrob is used on a
zooreg object. If the zooreg object is converted to vector before
calling lmrob, no problems appear.

Let me clarify this with an example:

library(robustbase)
library(zoo)
dad-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,
816.7000,619.1187,430.6188,852.1750,574.9937,528.1250,376.6187,507.7437,
443.0813,463.6250,716.1063,529.1250,705.7437,959.2937,653.0187,717.4438,
644.3125,718.1000,620.5187,759.3312,712.9750,606.6688,451.9250,560.2313,
308.1875,551.7687,615.3312,673.1250,678.4562,485.5312,491.8875,568.5688,
689.5750,507.0875,467.9125,539.4875,461.8625,827.3750,507.9250,526.5688,
363.9625,355.8813,585.9750,792.8438,698.6250,625.1063,463.4875,619.4688,
684.9438,815.3438)

 mod1-lmrob(dad~seq(58))
 summary(mod1)

Call:
lmrob(formula = dad ~ seq(58))

Weighted Residuals:
 Min   1Q   Median   3Q  Max 
-291.106  -98.0830.912  102.219  349.697 

Coefficients:
Estimate Std. Error t value Pr(|t|)
(Intercept) 630.202138.5583  16.344   2e-16 ***
seq(58)  -0.9366 1.1639  -0.8050.424
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ 
’ 1 

Robust residual standard error: 147.3 
Convergence in 8 IRWLS iterations

Robustness weights: 
 4 weights are ~= 1. The remaining 54 ones are summarized as
   Min. 1st Qu.  MedianMean 3rd Qu.Max. 
 0.5522  0.8858  0.9537  0.9212  0.9831  0.9990 
Algorithmic parameters: 
tuning.chi bb tuning.psi refine.tolrel.tol 
 1.5476400  0.500  4.6850610  0.001  0.001 
 nResample max.it groupsn.group   best.r.s   k.fast.s
k.max 
   500 50  5400  2  1
200 
 trace.lev compute.rd 
 0  0 
seed : int(0) 
 
 mod1-lmrob(as.zooreg(dad)~seq(58))
 summary(mod1)

Call:
lmrob(formula = as.zooreg(dad) ~ seq(58))

Weighted Residuals:
Error in if (xi == xj) 0L else if (xi  xj) 1L else -1L : 
  argument is of length zero


 

My problem is I typically work with zooreg objects and summary.lmrob
complains unless I convert them to vector in the lmrob call. Any idea
what is going wrong?


Thanks a lot,

Víctor.

-- 

Víctor Homar Santaner
Grup de Meteorologia

Edif. Mateu Orfila  Tel: +34 971 17 1376
Universitat de les Illes BalearsFax: +34 971 17 3426
07122 Palma de Mallorca (SPAIN) Email: victor.ho...@uib.es

Knowledge is contagious. Infect truth.



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Re: [R] Partial function application in R

2009-03-12 Thread nosek

Sorry for not answering long. After working a lot with new version of bind
function I find it actually really useful. Just to avoid any possible
hard-to-debug errors I try to stick to some good practices, like always
specifying default values for formal parameters and calling bind with
named arguments only.

And actually this feature reinvents
http://www.nabble.com/Curry%3A-proposed-new-functional-rogramming%2C-er%2C-function.-td13535544.html#a13535544
:)

I find myself operating a lot with list-of-lists-like structures, so this
facility helps me really a lot. What about this one:

combine - function( ... ) {
  funs - list( ... )
  head - funs[[1]]
  NULL - funs[[1]]
  if( length(funs)  0 )
function( ... )
  do.call( combine, funs ) ( head( ... ) )
  else head
}

It helps me to avoid lapplying multiple functions one after another, which
was not really readable. Thus I came to writing code like this:

sorting.predicate - combine( pure.perf, bind( [[, i=V11), bind(
quantile, 0.25 ) )

I wonder how bad is it? :)

Regards,
 nosek


Wacek Kusnierczyk wrote:
 
 nosek wrote:
 Hello,

 soon after my last posting to this thread I stumbled upon the do.call
 function and came to the very much the same version as yours. It is good!
   
 
 at least for the sort of tasks as in the examples below.  but i haven't
 tested it beyond those, and in r you shouldn't rely on intuition.
 
 However, it looks that both name clashes and mixing keyword and
 positional
 styles in argument binding and function calls may lead to very drastic
 and
 cryptic errors. Therefore I find this functional style of programming
 not
 too reliable yet.
   
 
 would be interesting to see what sorts of very drastic and cryptic
 errors you get.  not that i would be surprised if something intuitively
 correct does not if fact work.  it might be a semantic weirdo, but it
 might be that you use the solution in a way obviously destined to failure.
 
 vQ
 
 


 Wacek Kusnierczyk wrote:
   
 czesc,

 looks like you want some sort of currying, or maybe partial currying,
 right?  anyway, here's a quick guess at how you can modify your bind,
 and it seems to work, as far as i get your intentions,  with the plot
 example you gave:

 bind = function(f, ...) {
args = list(...)
function(...) do.call(f, c(list(...), args)) }

 plotlines = bind(plot, type='l')
 plotlines(1:10, runif(10))

 plotredlines = bind(plotlines, col=red)
 plotredlines(runif(10))

 # careful about not overriding a named argument
 plotredpoints = bind(plotredlines, type=p)
 plotredpoints(runif(10))

 you may want to figure out how to get rid of the smart y-axis title.
 is this what you wanted?

 pzdr,
 vQ


 
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[R] alternative to EMV?

2009-03-12 Thread Elsaesser, Chris
I need a package that can compute missing values of n-dimensional vectors for n 
 2. This is a kind of interpolation, complicated in dimensions higher than 2. 
The idea is that I have a set of fully specified vectors (i.e., with no missing 
values) and I get a new vector that has one or more missing attributes; I need 
to fill in the missing values with values that are, based on the 'training 
set', representative.

EMV appeared to be the solution but it has been taken off CRAN and I can't seem 
to install the archived version by hand on my Windoz machine.

Does anyone know of an alternative to EMV?

Thanks,

Chris Elsaesser, PhD   703.371.7301 (m)
Principal Engineer   703.983.4116 (o)
Information Discovery  Understanding
The MITRE Corporation
McLean, VA

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[R] 'netalg' and 'netlab' packages neural networks

2009-03-12 Thread Sály Péter

Dear List,

I have just started to familiarize with artificial neural networks and I find 
two names of packages by chance using R search. But unfortunately I can not 
find these packages on the CRAN. Is it possible that they were renamed? The 
names of the packages in question are:
 netalg
 netlab.
Thank you very much for any kind of help!

Cheers,
Peter SALY

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Re: [R] zooreg and lmrob problem (bug?)

2009-03-12 Thread Gabor Grothendieck
One can't assume an arbitrary function necessarily works with zoo
objects although many do; however, for functions that are sufficiently
similar to lm, like lmrob, dyn in the dyn package can transform it to
work with zoo (as well as with ts and a number of other time series
classes). Just preface lmrob with dyn$ like this:

library(dyn)
mod1-dyn$lmrob(as.zooreg(dad)~seq(58))
summary(mod1)

On Thu, Mar 12, 2009 at 6:13 AM, Víctor Homar victor.ho...@uib.cat wrote:
 Hi all and thanks for your time in advance,

 I can't figure out why summary.lmrob complains when lmrob is used on a
 zooreg object. If the zooreg object is converted to vector before
 calling lmrob, no problems appear.

 Let me clarify this with an example:

library(robustbase)
library(zoo)
dad-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,
 816.7000,619.1187,430.6188,852.1750,574.9937,528.1250,376.6187,507.7437,
 443.0813,463.6250,716.1063,529.1250,705.7437,959.2937,653.0187,717.4438,
 644.3125,718.1000,620.5187,759.3312,712.9750,606.6688,451.9250,560.2313,
 308.1875,551.7687,615.3312,673.1250,678.4562,485.5312,491.8875,568.5688,
 689.5750,507.0875,467.9125,539.4875,461.8625,827.3750,507.9250,526.5688,
 363.9625,355.8813,585.9750,792.8438,698.6250,625.1063,463.4875,619.4688,
 684.9438,815.3438)

 mod1-lmrob(dad~seq(58))
 summary(mod1)

 Call:
 lmrob(formula = dad ~ seq(58))

 Weighted Residuals:
     Min       1Q   Median       3Q      Max
 -291.106  -98.083    0.912  102.219  349.697

 Coefficients:
            Estimate Std. Error t value Pr(|t|)
 (Intercept) 630.2021    38.5583  16.344   2e-16 ***
 seq(58)      -0.9366     1.1639  -0.805    0.424
 ---
 Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

 Robust residual standard error: 147.3
 Convergence in 8 IRWLS iterations

 Robustness weights:
  4 weights are ~= 1. The remaining 54 ones are summarized as
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
  0.5522  0.8858  0.9537  0.9212  0.9831  0.9990
 Algorithmic parameters:
 tuning.chi         bb tuning.psi refine.tol    rel.tol
  1.5476400  0.500  4.6850610  0.001  0.001
  nResample     max.it     groups    n.group   best.r.s   k.fast.s
 k.max
       500         50          5        400          2          1
 200
  trace.lev compute.rd
         0          0
 seed : int(0)

 mod1-lmrob(as.zooreg(dad)~seq(58))
 summary(mod1)

 Call:
 lmrob(formula = as.zooreg(dad) ~ seq(58))

 Weighted Residuals:
 Error in if (xi == xj) 0L else if (xi  xj) 1L else -1L :
  argument is of length zero




 My problem is I typically work with zooreg objects and summary.lmrob
 complains unless I convert them to vector in the lmrob call. Any idea
 what is going wrong?


 Thanks a lot,

 Víctor.

 --
 
 Víctor Homar Santaner
 Grup de Meteorologia

 Edif. Mateu Orfila                      Tel: +34 971 17 1376
 Universitat de les Illes Balears        Fax: +34 971 17 3426
 07122 Palma de Mallorca (SPAIN)         Email: victor.ho...@uib.es

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[R] set size of a plot

2009-03-12 Thread Maxl18

Hi,
I have the following R-code:

pdf(file=test.pdf)
hist(rcauchy(100))
dev.off()

How can I set the size of the histogram in my pdf?
I tried to do with par(...) but I didn't find the right parameter yet.

Thanks, Max
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[R] GARCH variance equation with dummy variables

2009-03-12 Thread Brajkovic J.
I am estimating daily electricity prices using GARCH (1,1). What I would like 
to see is whether there is some kind of daily or seasonal effect in variance of 
the price series. For instance, variance of electricity prices might be 
different (higher) during weekdays as opposed to during weekend. Thus, I would 
like to include some dummy variables in variance equation -but I don't know how 
to program that in R (I use fGArch package). Could someone help, please?

Many tanks,


Jurica Brajkovic
Economics Division
University of Southampton

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Re: [R] CI from svyquantile in survey package

2009-03-12 Thread Thomas Lumley


This is a consequence of changes made to support multiple imputation, where 
extracting the standard errors was needed.  I will try to fix it. A work-around 
is to use lapply() and subset()

lapply(c(E,M,H), function(s) svyquantile(~api99,subset(dclus1, stype==s), 
ci=TRUE,quantiles=0.5))

Thanks for reporting the problem.

  -thomas

On Wed, 11 Mar 2009, Ron Burns wrote:



  I am having trouble understanding (i.e. getting) confidence intervals from
  the survey package. I am using R version 2.8.1 (2008-12-22) and survey
  package (3.11-2) on FC7 linux. To simplify my question I use an example from
  that package:
  R data(api)
  R dclus1-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
  R(tst-svyby(~api99,~stype,dclus1,   svyquantile,
  quantiles=0.5,ci=TRUE))
stype api99se
  E E   615 37.89
  H H   593 69.52
  M M   611 37.67
  R str(tst)
  Classes ‘svyby’ and 'data.frame':3 obs. of  3 variables:
   $ stype: Factor w/ 3 levels E,H,M: 1 2 3
   $ api99: num  615 593 611
   $ se   : num  37.9 69.5 37.7
   - attr(*, svyby)=List of 7
..$ margins  : int 1
..$ nstats   : num 1
..$ vars : int 1
..$ deffs: logi FALSE
..$ statistic: chr svyquantile
..$ variables: chr api99
..$ vartype  : chr se
   -  attr(*,  call)=  language  svyby.default(~api99, ~stype, dclus1,
  svyquantile, quantiles = 0.5,  ci = TRUE)
  R
  I do not see the CI in this structure.  Specifically, this problem came up
  when  I  was  working  through an example where after a similar set up
  information was extracted using
  R tst$statistics.quantiles
  NULL
  R tst$statistics.CIs
  NULL
  where of course the NULLs I get are due, in my case,  to the absences of the
  $statistics.XXXs.   The example did not display the structure so I could not
  compare my output with their output. (The example warns that these objects
  need to be unlisted which is not relevant here)
  Thanks in advance for any help
  Ron
--
R. R. Burns
Oceanside, CA
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Re: [R] set size of a plot

2009-03-12 Thread ONKELINX, Thierry
?pdf reads: width, height the width and height of the graphics region in
inches. The default values are 7.  




ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium 
tel. + 32 54/436 185
thierry.onkel...@inbo.be 
www.inbo.be 

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens Maxl18
Verzonden: donderdag 12 maart 2009 15:05
Aan: r-help@r-project.org
Onderwerp: [R] set size of a plot


Hi,
I have the following R-code:

pdf(file=test.pdf)
hist(rcauchy(100))
dev.off()

How can I set the size of the histogram in my pdf?
I tried to do with par(...) but I didn't find the right parameter yet.

Thanks, Max
-- 
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Sent from the R help mailing list archive at Nabble.com.

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Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer 
en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is
door een geldig ondertekend document. The views expressed in  this message 
and any annex are purely those of the writer and may not be regarded as stating 
an official position of INBO, as long as the message is not confirmed by a duly 
signed document.

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Re: [R] regsubsets() [leaps package] - please share some good examples of use

2009-03-12 Thread Thomas Lumley


If you run the example from ?biglm

data(trees)
ff-log(Volume)~log(Girth)+log(Height)
chunk1-trees[1:10,]
chunk2-trees[11:20,]
chunk3-trees[21:31,]
a - biglm(ff,chunk1)
a - update(a,chunk2)
a - update(a,chunk3)
summary(a)

you can then do

b -regsubsets(a, method=forward)
summary(b)

to get the results of forward selection.  In general, the biglm fit is the 
`maximum' model for the forward selection: all the variables that you want to 
consider for inclusion.

 -thomas


On Thu, 12 Mar 2009, Tal Galili wrote:


Hello dear R-help members,

I recently became interested in using biglm with leaps, and found myself
somewhat confused as to how to use the two together, in different settings.

I couldn't find any example codes for the leaps() package (except for in the
help file, and the examples there are not as rich as they could be).  That
is why I turn to you in case you could share some good tips and examples of
code on how to use the leaps package (especially the regsubsets command)


The problem that drives me to ask this is: how to use the regsubsets()
command to immulate a forward model selection procedure on a regressions
problem ?

I attach below a few direction dear Thomas has already wrote to me on the
subject, and any help would be very welcomed:

*me:*
I feel I am missing a big something here, so please help me here -
Let's say we have a dataset with an X matrix of 10 variables, and all we
want to perform is forward variable selection with AIC, starting from
the minimal model that includes the intercept only, and with the maximum
model of all variable and their interaction up to the second order.
In that range, we wish to find the best model, based on forward selection.

*Thomas:*
Use biglm() to fit the model with all main effects and all second order
interactions.  This model will be the maximum model for selection.

The minimum model, by default, is the model with only an intercept, so you
don't need to specify anything.  If the minimum model is more complicated,
the vector force.in specifies which terms are in the minimum model (a
logical vector with TRUE for variables in the minimum model and FALSE for
variables not in the minimum model).

regsubsets() will give you the best model with one variable, the best with
two variables, and so on. The object produced by summary() of the
regsubsets() has a component $cp that gives Mallows' Cp for each of the best
models. This is equivalent to AIC, or you can compute AIC from the residual
sum of squares in the $rss component of the object.

regsubsets() doesn't actually fit the models, it just works out the residual
sum of squares. You need to take the output of regsubsets() and then fit
which ever of the best models you want coefficients for.
summary(regsubsets.object)$which is a logical matrix indicating which
variables are in each of the best models.
This may seem unnecessarily complicated, but regsubsets() was designed for
situations where you want lots of best models rather than just one, since
there are often lots of models that are about equally good.  That's the
point of the
plot() method, where you can look at hundreds of best models from 30 or so
variables and see which variables are in most of the good models, and which
variables tend to occur together or separately -- for example, if you have
two related variables such as systolic blood pressure and diastolic blood
pressure do they substitute for each other or do they tend to occur in the
same model.



Thanks all (and again - thanks Thomas for all your patient answers so far)
Tal



p.s: I already sent this e-mail once, but couldn't seem to see it on the
list, so I resent it again - sorry if any of you got it twice.



--


My contact information:
Tal Galili
Phone number: 972-50-3373767
FaceBook: Tal Galili
My Blogs:
www.talgalili.com
www.biostatistics.co.il

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Thomas Lumley   Assoc. Professor, Biostatistics
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Re: [R] set size of a plot

2009-03-12 Thread Sarah Goslee
Set which size? Of the page? - then you need to specify in pdf().
Of the plot margins? - then par$mai
Of something else? Then you need to be more specific about your
intention.

Sarah

On Thu, Mar 12, 2009 at 10:05 AM, Maxl18 maximilianwoe...@hotmail.com wrote:

 Hi,
 I have the following R-code:

 pdf(file=test.pdf)
 hist(rcauchy(100))
 dev.off()

 How can I set the size of the histogram in my pdf?
 I tried to do with par(...) but I didn't find the right parameter yet.

 Thanks, Max

-- 
Sarah Goslee
http://www.functionaldiversity.org

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Re: [R] MANOVA

2009-03-12 Thread David Winsemius
Another method would be to use a summary that incorporates both as a  
measure of obesity, In medical investigations it is common to use the  
BMI which is the ratio of (weight in Kg) to (height in meters squared).


Yet a third method would be to investigate for nonlinearity on the  
response function using splines in the model. I have not yet seen  
evidence of collinearity offered,  so creating the full model as Simon  
suggests might be a first step. Much will depend on the quantity of  
data. If you only have 100 observations there will be severe  
limitations on the options.


--
David Winsemius
On Mar 12, 2009, at 2:37 AM, Simon Blomberg wrote:


You only have one response variable, so MANOVA is not appropriate. One
option would be to compare BP ~ Weight + Height with BP ~ 1. That  
would

give you a joint test of weight and height together. Since they are
collinear, that should tell you the overall effect of size. There  
are
other options, most of which involve discarding some of the data.  
Frank

Harrell's book is a font of wisdom on this sort of thing.

Harrell, F. E., Jr. (2001). Regression Modeling Strategies. Springer.

Simon.

On Thu, 2009-03-12 at 00:20 -0600, Ding Xiao wrote:

Hi All,

I have questions about MANOVA which I am still not sure if  
appropriately I should use it.


For example I have a data set like this:

BloodPressure (BP)  Weight   Height
120115165
125145198
15699  176

I know that BloodPressure is correlated with both Weight and  
Height, however colinearity exists between Weight and Height. When  
I use BP = Weight + Height as the model, one is got to be  
insignificant. I was trying to use a BP + Weight = Height model,  
but not sure how to use it.


Should I use MANOVA? or I just have to do two equations as BP =  
Weight  Weight = Height


Any suggestions and answers are greatly appreciated!

Ding

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--
Simon Blomberg, BSc (Hons), PhD, MAppStat.
Lecturer and Consultant Statistician
School of Biological Sciences
The University of Queensland
St. Lucia Queensland 4072
Australia
Room 320 Goddard Building (8)
T: +61 7 3365 2506
http://www.uq.edu.au/~uqsblomb
email: S.Blomberg1_at_uq.edu.au

Policies:
1.  I will NOT analyse your data for you.
2.  Your deadline is your problem.

The combination of some data and an aching desire for
an answer does not ensure that a reasonable answer can
be extracted from a given body of data. - John Tukey.

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David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] Removing

2009-03-12 Thread David Winsemius

Much simpler would be:

act2[!duplicated(act2$Rep),]   #use the negation of the duplicated  
function on $Rep and indexing


 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Cannot reproduce the blank line though.
--
David Winsemius


On Mar 12, 2009, at 5:02 AM, Tammy Ma wrote:



Hi All,



act_2

DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

I want to change act_2 to
DateDtime Hour Min Second   Rep

51 2006-02-22 14:52:18   14  52 18  useractivity_act

52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

in other word, I want to keep 1st if there are many repeated value,  
I made the program as:



rm_r-function(act_2){
dm-dim(act_2)[1]-1
for(i in 2:dm){

if(act_2$Rep[j]==act_2$Rep[i]){
  act_2-act_2[-j,]
}else{
act_2-act_2
}
}
return(act_2)
}

But it only remove one row..whats the problem? How should i modify  
it? Thanks  alot.


Tammy


_
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Live Spaces. It's easy!

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David Winsemius, MD
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West Hartford, CT

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Re: [R] set size of a plot

2009-03-12 Thread Christos Hatzis
See ?pdf and its width and height arguments.
Also if you want to have the graph centered on a standard page, there are
additional arguments to help you achieve that effect:

 pdf(test.pdf, height=5, width=5, paper=letter, pagecentre=TRUE)
 hist(rcauchy(100))
 dev.off()

-Christos 

 -Original Message-
 From: r-help-boun...@r-project.org 
 [mailto:r-help-boun...@r-project.org] On Behalf Of Maxl18
 Sent: Thursday, March 12, 2009 10:05 AM
 To: r-help@r-project.org
 Subject: [R] set size of a plot
 
 
 Hi,
 I have the following R-code:
 
 pdf(file=test.pdf)
 hist(rcauchy(100))
 dev.off()
 
 How can I set the size of the histogram in my pdf?
 I tried to do with par(...) but I didn't find the right parameter yet.
 
 Thanks, Max
 --
 View this message in context: 
 http://www.nabble.com/set-size-of-a-plot-tp22477083p22477083.html
 Sent from the R help mailing list archive at Nabble.com.
 
 __
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 http://www.R-project.org/posting-guide.html
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Re: [R] full screen graph, and close x11

2009-03-12 Thread Eik Vettorazzi

Hi,
see
?dev.off
but I think (guessing you use a windows system), you would be better of 
in using win.metafile() instead of x11() in initiating the graph, see

?win.metafile
There is no need to show all 100+ graphs on your display if you actually 
want them in files.

hth.

BaKaLeGuM schrieb:

Hi everybody!

I'm looking for a function or option to make a full screen plot.. can you
help me?
and I would like to know if it's possible to automaticaly close a x11
windows..

because i have more than 100 graph to generate and what  i want is:

1 - make a full screen graph
2 - save this plot in emf format
3 - close the plot (goto 1)

thanks for your advices

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--
Eik Vettorazzi
Institut für Medizinische Biometrie und Epidemiologie
Universitätsklinikum Hamburg-Eppendorf

Martinistr. 52
20246 Hamburg

T ++49/40/42803-8243
F ++49/40/42803-7790

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[R] model simplification in lme

2009-03-12 Thread Menelaos Stavrinides
Model simplification in lme
Pinheiro and Bates suggest that model simplification of fixed effects in lme
with anova (model,model2)
is anticonservative. What is the best way to simplify a model in lme?
Testing the p value for each fixed
factor with anova (model, type=marginal) and removing it if it is not
significant? I know this in not a valid
approach in lm but I am not sure about lme.
Thanks to Kingsford for  pointing out the section in Pinheiro and Bates
about model simplification.
Thanks,
Mel

-- 
Menelaos Stavrinides
Ph.D. Candidate
Environmental Science, Policy and Management
137 Mulford Hall MC #3114
University of California
Berkeley, CA 94720-3114 USA
Tel: 510 717 5249

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[R] read.xls and name of worksheet

2009-03-12 Thread Juergen Rose
Hi,

I would like to some excel files with some worksheets. I tried this with
the following R script:

library(gdata)
i-1
rc-0
while(rc != try-error) {

wksh-try(read.xls(cluster-microarray-FW.xls,sheet=i,verbose=TRUE,perl=perl))
  rc-class(wksh)
  print(sprintf(--- i=%2d rc=%s ---,i,rc))
  if (rc != try-error) {
print(--- summary(wksh)= -);  print(summary(wksh))
i - i+1
  }
}

At first I found the problem that xls2csv adds one space to the every
item in the last column. 
The second problem is, that I could not found an a possibility to save
the name of the worksheet. It is shown on the screen, if I use the last
script. I see something like 

Writing Sheet number 1 ('strenger') to file
'/tmp/RtmpFpSkBB/file327b23c6.csv'

The word in the single quotes is the name of the worksheet.
Therefore I tried to redirect the standard output to a file

library(gdata)
i-1
rc-0
while(rc != try-error) {
  log=paste(text.log,i,sep=)
  print(log=);  print(log)
  #con-file(log,open=wt)
  #sink(con, type=c(output,message))
  #sink(con, type=output)
  #sink(con, type=message)
  sink(log)

wksh-try(read.xls(cluster-microarray-FW.xls,sheet=i,verbose=TRUE,perl=perl))
  sink()
  rc-class(wksh)
  print(sprintf(--- i=%2d rc=%s ---,i,rc))
  if (rc != try-error) {
cmd-paste(sed -n \s/.*[(](.*)[)].*/\1/p\ ,log,  text.log)
system(cmd)
#unlink(log)
print(--- summary(wksh)= -);  print(summary(wksh))
i - i+1
  }
}

But now I don't find the information about Writing Sheet number in
text.log*. Any hint appreciated.

Regards

-- 
Juergen Rose r...@rz.uni-potsdam.de
Uni-Potsdam

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Re: [R] read.xls and name of worksheet

2009-03-12 Thread Gabor Grothendieck
Here is a program that will get a list of the sheet names and then
read in the indicated name.  Modify to suit.

library(rcom)
xls - C:\\test.xls
oxl - comCreateObject('Excel.Application')
comSetProperty(oxl, Visible, TRUE)
owb - comGetProperty(oxl, Workbooks)
ob - comInvoke(owb, Open, xls)
osheets - comGetProperty(ob, Worksheets)
n - comGetProperty(osheets, Count)
ithSheetName - function(i)
comGetProperty(comGetProperty(osheets, Item, i), Name)
sheetNames - sapply(1:n, ithSheetName)
comInvoke(oxl, Quit)

library(gdata)
read.xls(xls, match(xyz, sheetNames), na.strings = na )


On Thu, Mar 12, 2009 at 10:46 AM, Juergen Rose r...@rz.uni-potsdam.de wrote:
 Hi,

 I would like to some excel files with some worksheets. I tried this with
 the following R script:

 library(gdata)
 i-1
 rc-0
 while(rc != try-error) {

 wksh-try(read.xls(cluster-microarray-FW.xls,sheet=i,verbose=TRUE,perl=perl))
  rc-class(wksh)
  print(sprintf(--- i=%2d rc=%s ---,i,rc))
  if (rc != try-error) {
    print(--- summary(wksh)= -);  print(summary(wksh))
    i - i+1
  }
 }

 At first I found the problem that xls2csv adds one space to the every
 item in the last column.
 The second problem is, that I could not found an a possibility to save
 the name of the worksheet. It is shown on the screen, if I use the last
 script. I see something like

 Writing Sheet number 1 ('strenger') to file
 '/tmp/RtmpFpSkBB/file327b23c6.csv'

 The word in the single quotes is the name of the worksheet.
 Therefore I tried to redirect the standard output to a file

 library(gdata)
 i-1
 rc-0
 while(rc != try-error) {
  log=paste(text.log,i,sep=)
  print(log=);  print(log)
  #con-file(log,open=wt)
  #sink(con, type=c(output,message))
  #sink(con, type=output)
  #sink(con, type=message)
  sink(log)

 wksh-try(read.xls(cluster-microarray-FW.xls,sheet=i,verbose=TRUE,perl=perl))
  sink()
  rc-class(wksh)
  print(sprintf(--- i=%2d rc=%s ---,i,rc))
  if (rc != try-error) {
    cmd-paste(sed -n \s/.*[(](.*)[)].*/\1/p\ ,log,  text.log)
    system(cmd)
                                        #unlink(log)
    print(--- summary(wksh)= -);  print(summary(wksh))
    i - i+1
  }
 }

 But now I don't find the information about Writing Sheet number in
 text.log*. Any hint appreciated.

 Regards

 --
 Juergen Rose r...@rz.uni-potsdam.de
 Uni-Potsdam

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Re: [R] alternative to EMV?

2009-03-12 Thread David Winsemius
If I understand your question and if I understood Dr Harrell's  
description of the Hmisc/Design packages capabilities, this should all  
be available. I have been blessed with a dataset so large and with so  
relatively few missing values that I have not yet needed to put his  
methods into practice, but you should consider his function transcan  
in Hmisc.



On Mar 12, 2009, at 8:44 AM, Elsaesser, Chris wrote:

I need a package that can compute missing values of n-dimensional  
vectors for n  2. This is a kind of interpolation, complicated in  
dimensions higher than 2. The idea is that I have a set of fully  
specified vectors (i.e., with no missing values) and I get a new  
vector that has one or more missing attributes; I need to fill in  
the missing values with values that are, based on the 'training  
set', representative.


EMV appeared to be the solution but it has been taken off CRAN and I  
can't seem to install the archived version by hand on my Windoz  
machine.


Does anyone know of an alternative to EMV?

Thanks,

Chris Elsaesser, PhD   703.371.7301 (m)
Principal Engineer   703.983.4116 (o)
Information Discovery  Understanding
The MITRE Corporation
McLean, VA

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David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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[R] eps/pdf write help

2009-03-12 Thread Mohan Singh
I am trying to print graphs as pdf's or eps in a for loop, but I can't seem
to get it right

 

Either it prints only a single eps graph (overwrites) or when I use
#pdf(paste(i,.pdf, sep=)) .. it prints all pdf's but they are empty

 

Can someone suggest which method shud I use for such.

 

Thanks

Mohan

 

Code:

 

for(i in 1:19) {

  query - d$V1[i];

  print(query)

  

  #pdf(paste(i,.pdf, sep=));

  

  x11();

  plot(c2data[start1:count,],c3data[start1:count,],xlab=Buildings,
ylab=Sky, sub=i); 

  points(c2data[query,],c3data[query,], pch=20, col='blue');

  

  grid();

  

 dev.print()

 dev.copy2eps();

 dev.copy()

  

  start1 - count + 2;

  #print(start1)

  val - val-1;

  #print(val)

  count - count + val;

  #print(count)

}


[[alternative HTML version deleted]]

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Re: [R] Easy Recall to get ls(..., all.names=TRUE)?

2009-03-12 Thread Szumiloski, John
 

-Original Message-
From: Rolf Turner [mailto:r.tur...@auckland.ac.nz] 
Sent: Wednesday, 11 March, 2009 5:09 PM
To: Szumiloski, John
Cc: r-help@r-project.org
Subject: Re: [R] Easy Recall to get ls(..., all.names=TRUE)?


On 12/03/2009, at 3:16 AM, Szumiloski, John wrote:

 Dear useRs,

 I have a utility function which is meant to be a clone of ls(), except
 with the option all.names=TRUE.  Currently however, the function  
 merely
 consists of a copy of the source code of ls(), except the default  
 value
 of all.names is different.  That approach has the drawback of future
 inconsistency if the code for ls() ever changes.  No comment on  
 whether
 that is likely or not; I would and do object to the current  
 construction
 in principle.

 What I would like to do is rewrite the new function so that it does  
 very
 minimal processing of its arguments, and then calls ls() with the new
 arguments, somewhat in the same spirit of the Recall() function.

 A challenge to me has been twofold, that this new ls() call has a
 different search path, and that ls() itself has a good deal of lazy
 evaluation (including possibly twice in one line, around line 11)  
 in it.
 Getting my new function to work with all permutations of arguments,
 without merely copying the code from ls(), has been futile.

 I am sure I could manually enumerate the behavior for all permutations
 of all the arguments to ls(), and code each case individually.  I am
 also sure I will not waste my time doing that.  I was hoping, however,
 that there was some simple trick to allow this easily, one that I have
 missed.  Even an explanation of why this might be a fool's errand  
 would
 be quite helpful to my understanding of the intricacies of R  
 evaluation.

Does the following do what you want?

myls - function (all.names=TRUE,pos=-1,...)
{
xxx - pmatch(names(list(...)),envir,nomatch=0)
if(length(xxx)  xxx0) return(ls(all.names=all.names,pos=pos,...))
eee - if(pos==-1) parent.frame() else as.environment(pos)
ls(all.names=all.names,envir=eee,...)
}

cheers,

Rolf Turner

[snip legalese]




Rolf, as written that doesn't work: myls(3) just returned everything in
the top level workspace, .GlobalEnv, and not (in my case) everything in
package:graphics. However, I switched the order of the first two
arguments, and now it does the right thing in that case.  I will still
need to test it further.  Thanks for the suggestion.  -John
Notice:  This e-mail message, together with any attachme...{{dropped:12}}

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[R] help with predict and plotting confidence intervals

2009-03-12 Thread Michael Denslow

Dear R help,

This seems to be a commonly asked question and I am able to run examples that 
have been proposed, but I can't seems to get this to work with my own data. 
Reproducible code is below. Thank you in advance for any help you can provide.

The main problem is that I can not get the confidence lines to plot correctly.
The secondary problem is that predict is not able to find my object when 
I include a model object.

## THE DATA
wt.data - data.frame(code = factor(LETTERS[1:24]),
area = 
c(60865,480,656792,92298,1200,1490,8202,4000,220,245,4000,390,325,
16,162911,20235,68800,3389,7,696,4050,1498,1214,99460),
species = 
c(673,650,1353,1026,549,536,782,734,516,580,673,560,641,443,1105,
871,789,575,216,407,942,655,582,1018))

# TRANSFORM AND ADD TO DATAFRAME
wt.data$logA - log10(wt.data$area)
wt.data$logS - log10(wt.data$species)

wt.mod - lm(logS~logA, data = wt.data)

# PLOT THE DATA
with(wt.data,plot(logA,logS, ylim = c(2.3,3.2),xlim = c(0,6)))
abline(wt.mod, lwd = 2)


# create a prediction dataframe the same length as data
pred.frame - data.frame(a = seq(0,6, length.out = 24))

# error ' object logA not found'
# I am not sure why object is not found, I assume this has to do with 
# the way I added the transformed variables to the dataframe
pp - predict(wt.mod, int = p, newdata=pred.frame)

# runs ok?
pp - predict(lm(wt.data$logS~wt.data$logA), int = p, newdata=pred.frame)

# lines are jagged??
# I am not sure how to get the lines to draw correctly here
matlines(pred.frame$a,pp, lty=c(1,2,2),col=black)


 sessionInfo()
R version 2.8.1 (2008-12-22) 
i386-pc-mingw32 

locale:
LC_COLLATE=English_United States.1252;LC_CTYPE=English_United 
States.1252;LC_MONETARY=English_United 
States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

attached base packages:
[1] stats graphics  grDevices utils datasets  methods   base 

loaded via a namespace (and not attached):
[1] tools_2.8.1

Michael Denslow

Graduate Student
I.W. Carpenter Jr. Herbarium [BOON]
Department of Biology
Appalachian State University
Boone, North Carolina U.S.A.

-- AND --

Communications Manager
Southeast Regional Network of Expertise and Collections
sernec.org

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Re: [R] matrix multiplication, tensor product, block-diagonal and fast computation

2009-03-12 Thread Charles C. Berry

On Wed, 11 Mar 2009, Camarda, Carlo Giovanni wrote:


Dear R-users,

I am searching to the best way to compute a series of n matrix
multiplications between each matrix (mXm) in an array (mXmXn), and each
column of a matrix (mXn).

Please find below an example with four possible solutions.
The first is a simple for-loop which one might avoid; the second
solution employs the tensor product but then manually selects the right
outcomes. The third solution uses too many (and too time-consuming)
functions in order to profit of mapply. The last solution creates a
block-diagonal from the array and multiply such matrix by the vectorized
version of the first matrix. Here, often, the block-diagonal matrix may
be too large and a specific list is needed (at least AFAIK).

Does anyone have a further and possibly more effective way of computing
such operation?



This is fairly quick:

rowSums( aperm(A * as.vector( M[ rep(1:ncol(A),each=nrow(A)),]),c(1,3,2)), dims 
= 2 )

But my advice is to code this in C along the lines of your first solution 
(using the BLAS routines to carry it out in the inner products). Your code 
will be easier to read and debug and will probably be faster and easier on 
memory, too.


Years ago I wrote a lot of stuff like this in native S. I 'optimized' the 
heck out of it using tricks like the one above as I was debugging the 
code. I had to rewrite the bulk of it in C anyway. The S code was so hard 
to read that I could not migrate it to C bit by bit.  I had to start over 
and the effort spent debugging it in S was lost.


As an alternative you might try the 'jit' package on your first solution.

HTH,

Chuck




Thanks in advance for any suggestion,
Carlo Giovanni Camarda


library(tensor)
library(Matrix)
A - array(seq(0,1,length=48), dim=c(4,4,3))
M - matrix(1:12, nrow=4, ncol=3)

# first solution (avoid the for-loop)
M1 - matrix(nrow=4, ncol=3)
for(i in 1:3){
   M1[,i] - A[,,i] %*% M[,i]
}
# second solution (direct picking of the right cols)
A1 - tensor(A, M, 2, 1)
M2 - cbind(A1[,1,1],A1[,2,2],A1[,3,3])
# third solution (avoid as.data.frame and as.matrix)
Adf0 - apply(A, 3, as.data.frame)
Adf1 - lapply(X=Adf0, FUN=as.matrix, nrow=4, ncol=4)
M3 - mapply(FUN=%*%, Adf1, as.data.frame(M))
# fourth solution (often too large block-diagonal matrix)
Alist - NULL
for(i in 1:3){ # better way to create such list for bdiag
   Alist[[i]] - A[,,i]
}
Abd - bdiag(Alist)
M4 - matrix(as.matrix(Abd %*% c(M)), nrow=4, ncol=3)

--
This mail has been sent through the MPI for Demographic ...{{dropped:10}}

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Charles C. Berry(858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu   UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901

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Re: [R] R-help: grep in for loop using index - doesn't work

2009-03-12 Thread baptiste auguie

Hi,

your example is quite messy (neither reproducible or minimal). I think  
you could try the following,




mdf - data.frame(1:3)
names(mdf) - 147

i - 147

mdf[ as.character(i) ]



Hope this helps,

baptiste


On 11 Mar 2009, at 22:34, Mohan Singh wrote:


Hi everyone



 I am trying to use grep in a for loop to compare a string value. It  
works

if I use the actual index value but when I use the for loop index, it
doesn't work. Any suggestions plz.



Here is the code:



data - read.table(file=Sigmoid.csv, head=FALSE, sep=,);



c1 - data$V1

c2 - data$V2

c3 - data$V3



c1data - data.frame(c1);

c2data - data.frame(c2);

c3data - data.frame(c3);



#this works

p - grep(QueryItem,c1data[147,],value=FALSE,fixed=FALSE)

print(p) # print 1



#doesn't work

i-147

p1 - grep(QueryItem,c1data[i,],value=FALSE,fixed=FALSE)

print(p1) # prints 0



for(i in 137:270) {

 print(i)

 p - grep(QueryItem,c1data[i,],value=FALSE,fixed=FALSE)

 p2 - p

 print(p2)

 if(length(p)0) { print(p) }

}




[[alternative HTML version deleted]]

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_

Baptiste Auguié

School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK

Phone: +44 1392 264187

http://newton.ex.ac.uk/research/emag

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Re: [R] Is there any difference between - and =

2009-03-12 Thread Jens Oehlschlägel
Sean,

 would like to receive expert opinion to avoid potential trouble
[..]
 i think the following is the most secure way if one really
 really has to do assignment in a function call
f({a=3})
 and if one keeps this convention, - can be dropped altogether.

secure is relative, since due to R's lazy evaluation you never know whether a 
function's argument is being evalutated, look at:

 f- function(x)TRUE
 x - 1
 f((x=2)) # obscured attempt to assign in a function call
[1] TRUE
 x
[1] 1

Thus there is dangerous advice in the referenced blog which reads:

f(x - 3)
which means assign 3 to x, and call f with the first argument set to the value 
3

This might be the case in C but not in R. Actually in R f(x - 3) means: call 
f with a first unevaluated argument x - 3, and if and only if f decides to 
evaluate its first argument, then the assignment is done. To make this very 
clear:

 f - function(x)if(runif(1)0.5) TRUE else x
 x - 1
 print(f(x - x + 1))
[1] TRUE
 print(f(x - x + 1))
[1] 2
 print(f(x - x + 1))
[1] 3
 print(f(x - x + 1))
[1] TRUE
 print(f(x - x + 1))
[1] 4
 print(f(x - x + 1))
[1] 5
 print(f(x - x + 1))
[1] TRUE
 print(f(x - x + 1))
[1] 6
 print(f(x - x + 1))
[1] TRUE

Here it is unpredictable whether your assignment takes place. Thus assigning 
like f({x=1}) or f((x=1))is the maximum dangerous thing to do: even if you have 
a code-reviewer and the guy is aware of the danger of f(x-1) he will probably 
miss it because f((x=1)) does look too similar to a standard call f(x=1).

According to help(-), R's assignment operator is rather - than =:


The operators - and = assign into the environment in which they are evaluated. 
The operator - can be used anywhere, whereas the operator = is only allowed at 
the top level (e.g., in the complete expression typed at the command prompt) or 
as one of the subexpressions in a braced list of expressions.


So my recommendation is 
1) use R's assignment operator with two spaces around (or assign()) and don't 
obscure assignments by using C's assignment operator (or other languages 
equality operator)
2) do not assign in function arguments unless you have good reasons like in 
system.time(x - something)

HTH


Jens Oehlschlägel

P.S. Disclaimer: you can consider me biased towards -, never trust experts, 
whether experienced or not.

P.P.S. a puzzle, following an old tradition:

What is going on here? (and what would you need to do to prove it?)

 search()
[1] .GlobalEnvpackage:stats package:graphics  
package:grDevices package:utils package:datasets  package:methods  
[8] Autoloads package:base 
 ls(all.names = TRUE)
[1] y
 y
[1] 1 2 3
 identical(y, 1:3)
[1] TRUE
 y[] - 1  # assigning 1 fails
 y
[1] 1 2 3
 y[] - 2  # assigning 2 works
 y
[1] 2 2 2
 
 # Tip: no standard packages modified, no extra packages loaded, neither 
 classes nor methods defined, no print methods hiding anything, if you would 
 investigate my R you would not find any false bottom anymore
 
 version
   _   
platform   i386-pc-mingw32 
arch   i386
os mingw32 
system i386, mingw32   
status 
major  2   
minor  8.1 
year   2008
month  12  
day22  
svn rev47281   
language   R   
version.string R version 2.8.1 (2008-12-22)

--

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Re: [R] help with predict and plotting confidence intervals

2009-03-12 Thread David Winsemius


On Mar 12, 2009, at 11:14 AM, Michael Denslow wrote:



Dear R help,

This seems to be a commonly asked question and I am able to run  
examples that have been proposed, but I can't seems to get this to  
work with my own data. Reproducible code is below. Thank you in  
advance for any help you can provide.


It is commonly asked ... and commonly answered.




The main problem is that I can not get the confidence lines to plot  
correctly.
The secondary problem is that predict is not able to find my object  
when

I include a model object.

## THE DATA
wt.data - data.frame(code = factor(LETTERS[1:24]),
	area =  
c(60865,480,656792,92298,1200,1490,8202,4000,220,245,4000,390,325,

16,162911,20235,68800,3389,7,696,4050,1498,1214,99460),
	species =  
c(673,650,1353,1026,549,536,782,734,516,580,673,560,641,443,1105,

871,789,575,216,407,942,655,582,1018))

# TRANSFORM AND ADD TO DATAFRAME
wt.data$logA - log10(wt.data$area)
wt.data$logS - log10(wt.data$species)

wt.mod - lm(logS~logA, data = wt.data)

# PLOT THE DATA
with(wt.data,plot(logA,logS, ylim = c(2.3,3.2),xlim = c(0,6)))
abline(wt.mod, lwd = 2)


# create a prediction dataframe the same length as data
pred.frame - data.frame(a = seq(0,6, length.out = 24))

# error ' object logA not found'


I suspect you omitted the actual call that produced this error. I  
suspect it was something along the lines of:

 predwt - predict(wt.mod, newdata=pred.frame)
Error in eval(expr, envir, enclos) : object logA not found


# I am not sure why object is not found, I assume this has to do with
# the way I added the transformed variables to the dataframe


Because you didn't give the arguments the same name(s) as were used in  
the model formula.




pp - predict(wt.mod, int = p, newdata=pred.frame)

# runs ok?
pp - predict(lm(wt.data$logS~wt.data$logA), int = p,  
newdata=pred.frame)


# lines are jagged??


Lines? What lines? If predict does not find a newdata object that  
satisfies its requirements, it uses the original data.




# I am not sure how to get the lines to draw correctly here
matlines(pred.frame$a,pp, lty=c(1,2,2),col=black)

The x values are your sequence whereas the y values are in the  
sequence from the original data. They are not correctly associated  
with each other.


Try:
pp - predict(lm(wt.data$logS~wt.data$logA), int = p, newdata=  
data.frame(logA=seq(0,6, length.out = 24))  )

 plot(pp)

--
david winsemius

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Re: [R] eps/pdf write help

2009-03-12 Thread Philipp Pagel
On Thu, Mar 12, 2009 at 03:06:30PM +, Mohan Singh wrote:
 I am trying to print graphs as pdf's or eps in a for loop, but I can't seem
 to get it right
 
  
 
 Either it prints only a single eps graph (overwrites) or when I use
 #pdf(paste(i,.pdf, sep=)) .. it prints all pdf's but they are empty

Did you remember to close the pdf files? Something like the following
should work:

x - seq(0, 10, 0.01)
for (i in 1:5) {
pdf(paste('plot', i, '.pdf', sep=''))
plot(x, x^i)
dev.off()
}

cu
Philipp


-- 
Dr. Philipp Pagel
Lehrstuhl für Genomorientierte Bioinformatik
Technische Universität München
Wissenschaftszentrum Weihenstephan
85350 Freising, Germany
http://mips.gsf.de/staff/pagel

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[R] runs.test question

2009-03-12 Thread Ista Zahn
Hi everyone,
I have data from an experiment in which human participants were
instructed to generate a random sequence of yes/no answers under 4
different conditions. I want to test how successful they were in doing
this. More specifically, I want to test the null hypothesis that the 4
conditions come from a single population with a given level of
randomness. Some searching turned up the runs.test() function in the
tseries package. This looks promising, but I'm not sure how to
proceed.

A simplified version of the data structure is

 Data - data.frame(participant=c(rep(1,4),rep(2,4), rep(3,4), rep(4,4)), 
 question = factor(rep(c(one, two, three, four), 4)), condition = 
 factor(c(rep(1,8), rep(2,8))), answer=(factor(sign(rnorm(16)), 
 labels=c(yes, no
 Data
   participant question condition answer
11  one 1 no
21  two 1yes
31three 1yes
41 four 1 no
52  one 1yes
62  two 1yes
72three 1 no
82 four 1yes
93  one 2yes
10   3  two 2 no
11   3three 2yes
12   3 four 2yes
13   4  one 2 no
14   4  two 2 no
15   4three 2 no
16   4 four 2 no


My questions are: 1) Can I test my hypothesis using the runs.test()
function? If no, is there a better approach? 2) Does it make sense to
do a runs.test() for each condition, ignoring the participant
variable? Or do I need to do a runs.test() separately for each
participant? If the latter, how can I combine the information to test
for differences across conditions?

Thanks,
Ista

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Re: [R] help with predict and plotting confidence intervals

2009-03-12 Thread David Winsemius


On Mar 12, 2009, at 11:45 AM, David Winsemius wrote:



On Mar 12, 2009, at 11:14 AM, Michael Denslow wrote:




# I am not sure how to get the lines to draw correctly here
matlines(pred.frame$a,pp, lty=c(1,2,2),col=black)

The x values are your sequence whereas the y values are in the  
sequence from the original data. They are not correctly associated  
with each other.


Try:
pp - predict(lm(wt.data$logS~wt.data$logA), int = p, newdata=  
data.frame(logA=seq(0,6, length.out = 24))  )

plot(pp)

At this point I should not have accepted your starting point. A better  
starting point would be to use the wt.mod model:


pp - predict(wt.mod, int = p, newdata= list(logA=seq(0,6,  
length.out = 24)) )


# Followed by:

plot( seq(0,6, length.out = 24),  pp[ ,fit] )
 lines(seq(0,6, length.out = 24),  pp[ ,lwr], lty=2)
 lines(seq(0,6, length.out = 24),  pp[ ,upr], lty=2)



--
david winsemius

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David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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[R] Seemingly unrelated model with spatial processes

2009-03-12 Thread ArunPrasad

Hello everyone,
   Do we have package in R which will estimates the parameter in
Seemingly Unrelated Spatial Regression Model? Any help would be appreciated.

Thanks
Arun
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Re: [R] batch process file in R

2009-03-12 Thread Derek Norton
If these are the only files in the directory, then you might try...
(File paths will need to change if the folder 200209 isn't in the
working directory)

fpath - ./200209
a - list.files(fpath)
for(i in 1:length(a)){
 assign(paste(y,i,sep=),read.table(paste(fpath,a[i],sep=/)))
}

Another option is to put them in a list...

for(i in 1:length(a)){
 y[[i]] - read.table(paste(fpath,a[i],sep=/)
}

or with lapply...

y - lapply(1:length(a), function(i) read.table(paste(fpath,a
[i],sep=/))

Hope this helps.

Cheers,
Derek

On Mar 12, 7:52 am, tedzzx zengzhenx...@gmail.com wrote:
 Dear R experts,

 I have a folder names 200209 and in this folder there are many data files,
 such as:
 BA020902.txt,BA020903.txt,BA020904.txt,
 BA020905.txt,BA020906.txt,BA020909.txt,
 BA020910.txt,BA020911.txt,BA020912.txt,
 BA020913.txt,BA020916.txt,BA020917.txt,
 BA020918.txt,BA020919.txt,BA020920.txt,
 BA020923.txt,BA020924.txt,BA020925.txt,
 BA020926.txt,BA020927.txt,BA020930.txt,
 GMAS0209.txt,MAST0209.txt

 I want to imort all these data files into R at once without typing tedious
 a-read.table(BA020902.txt),
 b-read.table(BA020903.txt).

 Thanks

 Ted

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[R] How to replace a pair of observations in a matrix?

2009-03-12 Thread WXE83

Dear all,

I did this replacement below and its work for the first case but not in the
second case! Please tell me what's wrong with the second case.

Case 1:

 m
 [,1] [,2]
[1,]14
[2,]25
[3,]36

 l
 [,1] [,2]
[1,]9   10

 matric1-replace(m,m[3,],l)
 matric1
 [,1] [,2]
[1,]14
[2,]25
[3,]9   10

 matric2-replace(m,m[3,],xy[50,])
 matric2
 [,1]  [,2]
[1,] 1.00  4.00
[2,] 2.00  5.00
[3,] 1.855060 -1.865495

(for matric2 xy[50,] is [1.855060, -1.865495]

Case 2:

 xy-cbind(x,y)
 xy
   x  y
 [1,] -1.2138881  1.0270690
 [2,]  0.5167578 -0.5793451
 [3,]  1.3342747 -1.2561305
 [4,]  0.3047976 -0.3411616
 [5,]  1.7300424 -1.9266858
 [6,]  1.6171193 -1.7818126
 [7,] -0.3296678  0.5010075
 [8,]  0.9840971 -0.8801955
 [9,] -0.5187400  0.4149603
[10,]  1.7179670 -1.6482844

 m1-replace(xy,xy[2,],l)
 m1
   x  y
 [1,] -1.2138881  1.0270690
 [2,]  0.5167578 -0.5793451
 [3,]  1.3342747 -1.2561305
 [4,]  0.3047976 -0.3411616
 [5,]  1.7300424 -1.9266858
 [6,]  1.6171193 -1.7818126
 [7,] -0.3296678  0.5010075
 [8,]  0.9840971 -0.8801955
 [9,] -0.5187400  0.4149603
[10,]  1.7179670 -1.6482844

l doesn't replace xy[2,](why??)

Best regards




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[R] debug

2009-03-12 Thread Tammy Ma

Hi, All


I have so many files in my directory. I got the following error. At this time, 
I couldn't use debug() to check error one by one because so many files getting 
invloved. How can I get some idea about my error??
.
Skipping  book_log-20060222T143612.txt 
Skipping  book_log-20060222T162828.txt 
Skipping  book_log-20060222T162833.txt 
Skipping  book_log-20060222T183742.txt 
Skipping  book_log-20060222T201442.txt 
Skipping  book_log-20060224T153841.txt 
Skipping  book_log-20060224T184225.txt 
Skipping  book_log-20060224T193621.txt 
Skipping  book_log-20060224T193957.txt 
Skipping  book_log-20060225T110011.txt 
Skipping  book_log-20060225T125836.txt 
Skipping  book_log-20060225T131002.txt 
Processing  book_log-20060225T165935.txt 
Error in as.POSIXlt.character(x, tz, ...) : 
  character string is not in a standard unambiguous format


Thanks a lot.

Tammy

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Re: [R] can I draw 3D plot like this using R?

2009-03-12 Thread Oliver
Thank you all for the suggestions and answers.

Oliver

On Mar 12, 6:51 am, Duncan Murdoch murd...@stats.uwo.ca wrote:
 On 11/03/2009 11:35 PM, Oliver wrote:

  hi, all

  I am looking at R package RGL to draw a colored mesh/surface plot like
  this one (from matlab).
 http://www.mathworks.com/access/helpdesk/help/techdoc/visualize/cbar.gif

  The key features I am looking for is surfaced with grid and color, but
  not the terrain-like gradient.  but I didn't come even close to it
  after browsing through rgl help file.

 It is a little tricky to draw both lines and solid colours on a surface
 in rgl, because one will hide the other:  there's no way to turn off the
 hidden object removal in rgl.

 The easiest way to do it would be to draw the grid slightly above the
 surface.  For example,

 x - seq(-2, 2, len=17)
 y - seq(-2, 2, len=17)
 z - outer(x,y, function(x,y) exp(-y^2)*sin(1.5*x))
 color - rainbow(41)[1+round(10*outer(x,y, function(x,y) x^2 + y^2))]

 persp3d(x,y,z, color=color, smooth=FALSE)
 surface3d(x,y,z+0.001, front=lines, back=culled)

 (Fiddle with the 0.001 value if the grid disappears behind the surface,
 or floats too high above it.)

 Another way would be to draw the grid (and maybe the colour) as a texture.

 Duncan Murdoch

  have anyone drawn something like this before, is this doable afterall?

  thanks

  Oliver

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Re: [R] debug

2009-03-12 Thread Duncan Murdoch

Tammy Ma wrote:

Hi, All


I have so many files in my directory. I got the following error. At this time, 
I couldn't use debug() to check error one by one because so many files getting 
invloved. How can I get some idea about my error??
  


The usual advice: simplify the problem until it's obvious. I don't know 
if you consider the skipping messages to be a problem, but if not, it 
sure looks as though the problem is in


book_log-20060225T165935.txt 

so you can simplify things a lot by creating a copy of that file in a 
separate directory, and using debug or other techniques (e.g. 
options(error=recover) ) to diagnose it.


Duncan Murdoch

.
Skipping  book_log-20060222T143612.txt 
Skipping  book_log-20060222T162828.txt 
Skipping  book_log-20060222T162833.txt 
Skipping  book_log-20060222T183742.txt 
Skipping  book_log-20060222T201442.txt 
Skipping  book_log-20060224T153841.txt 
Skipping  book_log-20060224T184225.txt 
Skipping  book_log-20060224T193621.txt 
Skipping  book_log-20060224T193957.txt 
Skipping  book_log-20060225T110011.txt 
Skipping  book_log-20060225T125836.txt 
Skipping  book_log-20060225T131002.txt 
Processing  book_log-20060225T165935.txt 
Error in as.POSIXlt.character(x, tz, ...) : 
  character string is not in a standard unambiguous format
  


Thanks a lot.

Tammy

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[R] nested logit estimation

2009-03-12 Thread justin bem
Dear all,

Is there a function to fit nested logit available somewhere ?

Sincerly
 Justin BEM
BP 1917 Yaoundé
Tél (237) 99597295
(237) 22040246 


  
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[R] avoiding termination of nls given convergence failure

2009-03-12 Thread Bill Shipley
Hello.  I have a script in which I repeatedly fit a nonlinear regression to
a series of data sets using nls and the port algorithm from within a loop.
The general structure of the loop is:

 for(i in 1:n){

… extract relevant vectors of dependent and independent variables …

… estimate starting values for Amax and Q.LCP…

 

 
fit-nls(photosynthesis~fit.Mitcherlich(irradiance,Amax,LCP,Q.LCP),data=temp
,

 
start=list(Amax=Astart,Q.LCP=x,LCP=33),control=list(maxiter=100,tol=5e-4),

na.action=na.omit,trace=T,algorithm=port,lower=c(0,0,0))

…

}

 

Despite trying to estimate good starting values, the nls function
occasionally experiences problems with convergence.  When this happens the
function stops and prints an error message, thus preventing the loop from
continuing.  Is there some what of detecting the convergence problem while
preventing the nls function from stopping when this happens, so that the
loop can continue?

 

Bill Shipley

North American Editor, Annals of Botany

Département de biologie

Université de Sherbrooke

Sherbrooke (Québec) J1K 2R1

Canada

(819) 821-8000, poste 62079

(819) 821-8049 FAX

 

http://pages.usherbrooke.ca/jshipley/recherche/

 


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Re: [R] avoiding termination of nls given convergence failure

2009-03-12 Thread Joshua Reich
Hi Bill,

You should have a look at the try() function that lets you enclose an
expression and handle failure in a way that prevents the entire execution
from halting.

Josh

On Thu, Mar 12, 2009 at 1:13 PM, Bill Shipley
bill.ship...@usherbrooke.cawrote:

 Hello.  I have a script in which I repeatedly fit a nonlinear regression to
 a series of data sets using nls and the port algorithm from within a loop.
 The general structure of the loop is:

  for(i in 1:n){

 … extract relevant vectors of dependent and independent variables …

 … estimate starting values for Amax and Q.LCP…





 fit-nls(photosynthesis~fit.Mitcherlich(irradiance,Amax,LCP,Q.LCP),data=temp
 ,


 start=list(Amax=Astart,Q.LCP=x,LCP=33),control=list(maxiter=100,tol=5e-4),

na.action=na.omit,trace=T,algorithm=port,lower=c(0,0,0))

 …

 }



 Despite trying to estimate good starting values, the nls function
 occasionally experiences problems with convergence.  When this happens the
 function stops and prints an error message, thus preventing the loop from
 continuing.  Is there some what of detecting the convergence problem while
 preventing the nls function from stopping when this happens, so that the
 loop can continue?



 Bill Shipley

 North American Editor, Annals of Botany

 Département de biologie

 Université de Sherbrooke

 Sherbrooke (Québec) J1K 2R1

 Canada

 (819) 821-8000, poste 62079

 (819) 821-8049 FAX



 http://pages.usherbrooke.ca/jshipley/recherche/




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 http://www.R-project.org/posting-guide.html
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-- 
Joshua Reich
646 256 4763
i2pi
simplicity . depth . scalability

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Re: [R] avoiding termination of nls given convergence failure

2009-03-12 Thread Gabor Grothendieck
If the goal here is to repeatedly run a particular model from
different starting values
then the nls2 package will do that for you.

On Thu, Mar 12, 2009 at 2:13 PM, Bill Shipley
bill.ship...@usherbrooke.ca wrote:
 Hello.  I have a script in which I repeatedly fit a nonlinear regression to
 a series of data sets using nls and the port algorithm from within a loop.
 The general structure of the loop is:

  for(i in 1:n){

 … extract relevant vectors of dependent and independent variables …

 … estimate starting values for Amax and Q.LCP…




 fit-nls(photosynthesis~fit.Mitcherlich(irradiance,Amax,LCP,Q.LCP),data=temp
 ,


 start=list(Amax=Astart,Q.LCP=x,LCP=33),control=list(maxiter=100,tol=5e-4),

            na.action=na.omit,trace=T,algorithm=port,lower=c(0,0,0))

 …

 }



 Despite trying to estimate good starting values, the nls function
 occasionally experiences problems with convergence.  When this happens the
 function stops and prints an error message, thus preventing the loop from
 continuing.  Is there some what of detecting the convergence problem while
 preventing the nls function from stopping when this happens, so that the
 loop can continue?



 Bill Shipley

 North American Editor, Annals of Botany

 Département de biologie

 Université de Sherbrooke

 Sherbrooke (Québec) J1K 2R1

 Canada

 (819) 821-8000, poste 62079

 (819) 821-8049 FAX



 http://pages.usherbrooke.ca/jshipley/recherche/




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 and provide commented, minimal, self-contained, reproducible code.



__
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and provide commented, minimal, self-contained, reproducible code.


Re: [R] avoiding termination of nls given convergence failure

2009-03-12 Thread Ravi Varadhan

?try

For example, 

 for (i in 1:n) {
 
 try (fit - nls(...), silent=TRUE)
  if (class(fit) != try-error) dowhateverthatneedstobedonewiththeresults
  else fit - NA
}


Ravi.

---

Ravi Varadhan, Ph.D.

Assistant Professor, The Center on Aging and Health

Division of Geriatric Medicine and Gerontology 

Johns Hopkins University

Ph: (410) 502-2619

Fax: (410) 614-9625

Email: rvarad...@jhmi.edu

Webpage:  http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.html







-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Bill Shipley
Sent: Thursday, March 12, 2009 2:13 PM
To: R-help
Subject: [R] avoiding termination of nls given convergence failure

Hello.  I have a script in which I repeatedly fit a nonlinear regression to
a series of data sets using nls and the port algorithm from within a loop.
The general structure of the loop is:

 for(i in 1:n){

 extract relevant vectors of dependent and independent variables 

 estimate starting values for Amax and Q.LCP




fit-nls(photosynthesis~fit.Mitcherlich(irradiance,Amax,LCP,Q.LCP),data=temp
,


start=list(Amax=Astart,Q.LCP=x,LCP=33),control=list(maxiter=100,tol=5e-4),

na.action=na.omit,trace=T,algorithm=port,lower=c(0,0,0))



}



Despite trying to estimate good starting values, the nls function
occasionally experiences problems with convergence.  When this happens the
function stops and prints an error message, thus preventing the loop from
continuing.  Is there some what of detecting the convergence problem while
preventing the nls function from stopping when this happens, so that the
loop can continue?



Bill Shipley

North American Editor, Annals of Botany

Dipartement de biologie

Universiti de Sherbrooke

Sherbrooke (Quibec) J1K 2R1

Canada

(819) 821-8000, poste 62079

(819) 821-8049 FAX



http://pages.usherbrooke.ca/jshipley/recherche/




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and provide commented, minimal, self-contained, reproducible code.


[R] Cross-validation - lift curve

2009-03-12 Thread Eric Siegel
Hi all,

I'd like to do cross-validation on lm and get the resulting lift curve/table
(or, alternatively, the estimates on 100% of my data with which I can get
lift).

If such a thing doesn't exist, could it be derived using cv.lm, or would we
need to start from scratch?

Thanks!

-- 
Eric Siegel, Ph.D.
President
Prediction Impact, Inc.

Predictive Analytics World Conference
More info: www.predictiveanalyticsworld.com
LinkedIn Group: www.linkedin.com/e/gis/1005097

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Re: [R] who can give me some hint?

2009-03-12 Thread William Dunlap
I think I answered a very similar question from you yesterday
but perhaps the mail went astray.  The subject line is not
informative.

It may make it easier to think about if you use a function like
   isFirstInRun - function(x) c(TRUE, x[-1]!=x[-length(x)]
Given a vector x (without NA's in it) it tells you if a given
element of x is the first in a run of identical values.  E.g.,
   x - c(1,2,2,1,1,3)
   isFirstInRun(x)
   [1] TRUE TRUE FALSE TRUE FALSE TRUE
You don't have to understand why this works or why it works
quickly or have this idiom in your working set yet.  You do need to
know how to use logical values as subscripts to extract elements of
interest from vectors or rows of interest from data frames.  E.g.,
   act_2[ with(act_2, isFirstInRun(Rep)), ]
should returns row 51, 52, 58, and 60 of your example.  If you
want to only return the first of each Hour/Min combinary you could
use either
   isFirstInRun(interaction(Hour,Min))
or
   isFirstInRun(Hour)|isFirstInRun(Min)
as the row subscript to act_2 to pull out rows 51 and 60.

If this were to become a standard function it could be modified
to handle NA's, 0-long arguments, and multiple arguments.  (If
it accepted multiple arguments then rle() ought to be modified
in the same way, as they are closely related.) 

Bill Dunlap
TIBCO Software Inc - Spotfire Division
wdunlap tibco.com 

--
Tammy Ma metal_licaling at live.com 
Thu Mar 12 11:25:56 CET 2009

 act_2
 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
55 2006-02-22 14:52:49   14  52 49 4
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

I want to change act_2 to 
 DateDtime Hour Min Second   Rep

51 2006-02-22 14:52:18   14  52 18  useractivity_act

52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

in other word, I want to keep 1st if there are many repeated value, I
made the program as:


rm_r-function(act_2){
 dm-dim(act_2)[1]-1
 for(i in 2:dm){
   
 if(act_2$Rep[i+1]==act_2$Rep[i]){
   act_2-act_2[-(i+1),]
   }else{
   act_2-act_2
   }
 }
return(act_2)
}

when it moved one row on 1st loop, i should still start 2 but it become
3 at 2nd loop, if I add i-i-1, then i go to 1
seems not reasonbale. How should I modify it`?

Tammy

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Re: [R] Removing

2009-03-12 Thread Patrick Burns

Simpler, but maybe wrong.  Not duplicated
was my first response as well, but then I began
wondering if the question implied globally
duplicated or duplicated within subgroups.


Patrick Burns
patr...@burns-stat.com
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of The R Inferno and A Guide for the Unwilling S User)

David Winsemius wrote:

Much simpler would be:

act2[!duplicated(act2$Rep),]   #use the negation of the duplicated 
function on $Rep and indexing


 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Cannot reproduce the blank line though.


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Re: [R] help with predict and plotting confidence intervals

2009-03-12 Thread Michael Denslow

Thank you for you help Dr. Winsemius.

The problem seems to stem from the fact that I have used the incorrect name in 
the prediction dataframe.
The following code seems to work correctly. 
Thank you again,
Michael

wt.data - data.frame(code = factor(LETTERS[1:24]),
area = 
c(60865,480,656792,92298,1200,1490,8202,4000,220,245,4000,390,325,
16,162911,20235,68800,3389,7,696,4050,1498,1214,99460),
species = 
c(673,650,1353,1026,549,536,782,734,516,580,673,560,641,443,1105,
871,789,575,216,407,942,655,582,1018))

wt.data$logA - log10(wt.data$area)
wt.data$logS - log10(wt.data$species)
wt.mod - lm(logS~logA, data = wt.data)

with(wt.data,plot(logA,logS, ylim = c(2.0,3.5),xlim = c(0,6)))
pred.frame - data.frame(logA = seq(0,6, length.out = 24))
pp - predict(wt.mod, int = p, newdata=pred.frame)
matlines(pred.frame$logA,pp, lty=c(1,2,2),col=red)




Michael Denslow

Graduate Student
I.W. Carpenter Jr. Herbarium [BOON]
Department of Biology
Appalachian State University
Boone, North Carolina U.S.A.

-- AND --

Communications Manager
Southeast Regional Network of Expertise and Collections
sernec.org
  
  # I am not sure how to get the lines to draw
 correctly here
  matlines(pred.frame$a,pp,
 lty=c(1,2,2),col=black)
  
  The x values are your sequence whereas the y values
 are in the sequence from the original data. They are not
 correctly associated with each other.
  
  Try:
  pp - predict(lm(wt.data$logS~wt.data$logA), int =
 p, newdata= data.frame(logA=seq(0,6, length.out
 = 24))  )
  plot(pp)
  
 At this point I should not have accepted your starting
 point. A better starting point would be to use the wt.mod
 model:
 
 pp - predict(wt.mod, int = p, newdata=
 list(logA=seq(0,6, length.out = 24)) )
 
 # Followed by:
 
 plot( seq(0,6, length.out = 24),  pp[ ,fit] )
  lines(seq(0,6, length.out = 24),  pp[ ,lwr],
 lty=2)
  lines(seq(0,6, length.out = 24),  pp[ ,upr],
 lty=2)
 
 
  --david winsemius
  
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 reproducible code.
 
 David Winsemius, MD
 Heritage Laboratories
 West Hartford, CT

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[R] R grep gsub issue - sign seems to be causing an issue...

2009-03-12 Thread Jason Rupert

I would like to use grep and gsub to manipulate a vector to make the names used 
consistent, i.e. reduce a level or two.  

However, here is what I found when I attempted to use grep and gsub:
   
 tmp_test-c(House 1 Plot Plus +100,House 2 Plot Plus +100,House 3 Plot 
 Plus -100,House 4 Plot Plus -100,House 1 Plus +100,House 2 Plus 
 +100,House 3 Plus -100,House 4 Plus -100)

 gsub(tmp_test[2], tmp_test[1], tmp_test)
[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 3 Plot Plus -100 
House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100 

 grep(tmp_test[1],tmp_test)
integer(0)

However, 
 gsub(tmp_test[3], tmp_test[1], tmp_test)
[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 1 Plot Plus +100 
House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100

Thanks for any feedback that can be provided.

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Re: [R] Removing

2009-03-12 Thread David Winsemius
True, I suppose. The specification from Ma could have been more  
explicit. Should she want to only have duplicates in sequence, then  
perhaps the use of construction within the rle function would be useful.


act2[ act2$Rep[-1] != act2$Rep[-length(act2$Rep)], ]

 DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Which turns out on examination to be isomorphic to Gabor's earlier  
efforts.

--
David Winsemius


On Mar 12, 2009, at 2:31 PM, Patrick Burns wrote:


Simpler, but maybe wrong.  Not duplicated
was my first response as well, but then I began
wondering if the question implied globally
duplicated or duplicated within subgroups.


Patrick Burns
patr...@burns-stat.com
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of The R Inferno and A Guide for the Unwilling S User)

David Winsemius wrote:

Much simpler would be:

act2[!duplicated(act2$Rep),]   #use the negation of the duplicated  
function on $Rep and indexing


DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Cannot reproduce the blank line though.


David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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[R] New York R Meetup

2009-03-12 Thread Joshua Reich
Hi,

After hearing good things about the R community over on the west coast, I
have started a New York based R meetup group. We intend to have our first
get together on Thursday April 2nd, at 7pm. For more details pop on over to
http://meetup.com/nyhackr

Regards,

Josh

-- 
Joshua Reich
646 256 4763
i2pi
simplicity . depth . scalability

[[alternative HTML version deleted]]

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[R] stats lm() function

2009-03-12 Thread Paul Hermes
Hi, 

Im using the lm() function where the formula is quite big (300 arguments) and 
the data is a frame of 3000 values. 

This is running in a loop where in each step the formula is reduced by one 
argument, and the lm command is called again (to check which arguments are 
useful) . 

This takes 1-2 minutes. 
Is there a way to speed this up? 
i checked the code of the lm function and its seems that its preparing the data 
and then calls lm.Fit(). i thought about just doing this praparing stuff first 
and only call lm.fit() 300 times. 
[[alternative HTML version deleted]]

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[R] stats lm() function

2009-03-12 Thread ph84

Hi,

Im using the lm() function where the formula is quite big (300 arguments)
and the data is a frame of 3000 values.

This is running in a loop where in each step the formula is reduced by one
argument, and the lm command is called again (to check which arguments are
useful) .

This takes 1-2 minutes.
Is there a way to speed this up?
i checked the code of the lm function and its seems that its preparing the
data and then calls lm.Fit(). i thought about just doing this praparing
stuff first and only call lm.fit() 300 times.


-- 
View this message in context: 
http://www.nabble.com/stats-lm%28%29-function-tp22482054p22482054.html
Sent from the R help mailing list archive at Nabble.com.

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Re: [R] R grep gsub issue - sign seems to be causing an issue...

2009-03-12 Thread Duncan Murdoch

Jason Rupert wrote:
I would like to use grep and gsub to manipulate a vector to make the names used consistent, i.e. reduce a level or two.  
  


This is dangerous:  grep and gsub use regular expressions, so a lot of 
characters (see ?regexp for the list) have special meanings.


For the kind of substitutions you want, just do things like

newlist - tmp_test
newlist[newlist == tmp_test[2]] - tmp_test[1]

Duncan Murdoch

However, here is what I found when I attempted to use grep and gsub:
   
  

tmp_test-c(House 1 Plot Plus +100,House 2 Plot Plus +100,House 3 Plot Plus -100,House 4 Plot Plus 
-100,House 1 Plus +100,House 2 Plus +100,House 3 Plus -100,House 4 Plus -100)



  

gsub(tmp_test[2], tmp_test[1], tmp_test)

[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 3 Plot Plus -100 House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100 

  

grep(tmp_test[1],tmp_test)


integer(0)

However, 
  

gsub(tmp_test[3], tmp_test[1], tmp_test)

[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 1 Plot Plus +100 House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100


Thanks for any feedback that can be provided.

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Re: [R] GARCH SIMULATION

2009-03-12 Thread Jurica

You should try installing fGarch package. Then you can simulate various garch
models using garchsim command. Hope it help. 
jurica



SUMANTA BASAK-4 wrote:
 
 Hi All,
 
 I,m trying to do a GARCH simulation in R 2.3.0 release
 in Windows XP. I've seen garchsim function but that is
 for garch (1,1) and ?garch gives an example for ARCH
 simulation. Can anyone help me how can i extend the
 help shown in ?garch to GARCH simulation? Please help
 me in this regard.
 
 Thanks,
 Sumanta Basak.
 
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Re: [R] stats lm() function

2009-03-12 Thread Dimitris Rizopoulos
yes, indeed, you can certainly speed things up, by just changing the 
design matrix X and feeding it back to lm.fit().


In addition, if you just need the least squares estimates, then you gain 
a bit more by using constructs of the form:


XtX - crossprod(X)
Xty - crossprod(X, y)
betas - solve(XtX, Xty)


I hope it helps.

Best,
Dimitris


Paul Hermes wrote:
Hi, 

Im using the lm() function where the formula is quite big (300 arguments) and the data is a frame of 3000 values. 

This is running in a loop where in each step the formula is reduced by one argument, and the lm command is called again (to check which arguments are useful) . 

This takes 1-2 minutes. 
Is there a way to speed this up? 
i checked the code of the lm function and its seems that its preparing the data and then calls lm.Fit(). i thought about just doing this praparing stuff first and only call lm.fit() 300 times. 
	[[alternative HTML version deleted]]


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--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014

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Re: [R] stats lm() function

2009-03-12 Thread Ravi Varadhan
Look at:

?update

For example:

lm.obj - lm (y ~ x1 + ... + x300)

lm.obj1 - update(lm.obj, . ~ .  - x1)

lm.obj2 - update(lm.obj1, . ~ .  - x2)


Ravi.



Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University

Ph. (410) 502-2619
email: rvarad...@jhmi.edu


- Original Message -
From: ph84 masterods...@gmx.de
Date: Thursday, March 12, 2009 3:28 pm
Subject: [R]  stats lm() function
To: r-help@r-project.org


  Hi,
  
  Im using the lm() function where the formula is quite big (300 arguments)
  and the data is a frame of 3000 values.
  
  This is running in a loop where in each step the formula is reduced 
 by one
  argument, and the lm command is called again (to check which 
 arguments are
  useful) .
  
  This takes 1-2 minutes.
  Is there a way to speed this up?
  i checked the code of the lm function and its seems that its 
 preparing the
  data and then calls lm.Fit(). i thought about just doing this praparing
  stuff first and only call lm.fit() 300 times.
  
  
  -- 
  View this message in context: 
  Sent from the R help mailing list archive at Nabble.com.
  
  __
  R-help@r-project.org mailing list
  
  PLEASE do read the posting guide 
  and provide commented, minimal, self-contained, reproducible code.

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Re: [R] Removing

2009-03-12 Thread David Winsemius


On Mar 12, 2009, at 3:02 PM, David Winsemius wrote:

True, I suppose. The specification from Ma could have been more  
explicit. Should she want to only have duplicates in sequence, then  
perhaps the use of construction within the rle function would be  
useful.


act2[ act2$Rep[-1] != act2$Rep[-length(act2$Rep)], ]

DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
57 2006-02-22 14:52:51   14  52 51 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Which turns out on examination to be isomorphic to Gabor's earlier  
efforts.


Almost ... but not quite. The addition of a TRUE to that logical vecor  
(as in Bill Dunap's posting as well as Gabor's solution) is needed to  
keep this from failing in some instances, although this test case did  
not expose the flaw.


act2[c(TRUE, act2$Rep[-1] != act2$Rep[-length(act2$Rep)]), ]



--
David Winsemius


On Mar 12, 2009, at 2:31 PM, Patrick Burns wrote:


Simpler, but maybe wrong.  Not duplicated
was my first response as well, but then I began
wondering if the question implied globally
duplicated or duplicated within subgroups.


Patrick Burns
patr...@burns-stat.com
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of The R Inferno and A Guide for the Unwilling S User)

David Winsemius wrote:

Much simpler would be:

act2[!duplicated(act2$Rep),]   #use the negation of the duplicated  
function on $Rep and indexing


   DateDtime Hour Min Second   Rep
51 2006-02-22 14:52:18   14  52 18  useractivity_act
52 2006-02-22 14:52:18   14  52 18 4
58 2006-02-22 14:52:52   14  52 52 3
60 2006-02-22 14:54:42   14  54 42 useractivity_idle

Cannot reproduce the blank line though.


David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] stats lm() function

2009-03-12 Thread David Winsemius
I think you will find that many readers of this list would rather try  
to dissuade you from this misguided strategy. You are unlikely to get  
to a sensible solution in using step-down procedures with this sort of  
situation (large number of predictors with modest size of data).


--
David Winsemius

On Mar 12, 2009, at 1:59 PM, Paul Hermes wrote:


Hi,

Im using the lm() function where the formula is quite big (300  
arguments) and the data is a frame of 3000 values.


This is running in a loop where in each step the formula is reduced  
by one argument, and the lm command is called again (to check which  
arguments are useful) .


This takes 1-2 minutes.
Is there a way to speed this up?
i checked the code of the lm function and its seems that its  
preparing the data and then calls lm.Fit(). i thought about just  
doing this praparing stuff first and only call lm.fit() 300 times.

[[alternative HTML version deleted]]

__
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and provide commented, minimal, self-contained, reproducible code.


David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] R grep gsub issue - sign seems to be causing an issue...

2009-03-12 Thread Prof Brian Ripley

On Thu, 12 Mar 2009, Duncan Murdoch wrote:


Jason Rupert wrote:
I would like to use grep and gsub to manipulate a vector to make the names 
used consistent, i.e. reduce a level or two. 


This is dangerous:  grep and gsub use regular expressions, so a lot of 
characters (see ?regexp for the list) have special meanings.


Unless argument fixed=TRUE which is often useful.


For the kind of substitutions you want, just do things like

newlist - tmp_test
newlist[newlist == tmp_test[2]] - tmp_test[1]

Duncan Murdoch

However, here is what I found when I attempted to use grep and gsub:

tmp_test-c(House 1 Plot Plus +100,House 2 Plot Plus +100,House 3 
Plot Plus -100,House 4 Plot Plus -100,House 1 Plus +100,House 2 Plus 
+100,House 3 Plus -100,House 4 Plus -100)






gsub(tmp_test[2], tmp_test[1], tmp_test)

[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 3 Plot Plus 
-100 House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100



grep(tmp_test[1],tmp_test)


integer(0)

However, 

gsub(tmp_test[3], tmp_test[1], tmp_test)

[1] House 1 Plot Plus +100 House 2 Plot Plus +100 House 1 Plot Plus 
+100 House 4 Plot Plus -100 House 1 Plus +100  House 2 Plus +100 
[7] House 3 Plus -100  House 4 Plus -100


Thanks for any feedback that can be provided.




--
Brian D. Ripley,  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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[R] Writing xls - multiple sheets

2009-03-12 Thread Ferry
Hi,

Is there a package I can use to write to multiple sheets on xls file,
other than using the paid version of xlsReadWrite package
(xlsReadWritePro)?

Thank you,

Ferry

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Re: [R] portable R editor

2009-03-12 Thread Werner W.

Unfortunately, the suggested way with JauntePE does not work completely.

Maybe I have found a better alternative now:
There is a little free application by Sysinternals (now owned by MS) which
can create junction points, i.e. a system link to a directory under Windows.
It is available here:
http://technet.microsoft.com/en-us/sysinternals/bb896768.aspx

In my setup, I have under the root directory of the USB stick one dir called
Programs and one called Application Data. I have copied the Tinn-R
folder to Programs and the ini files from the user profile into Application
Data. In Programs\Tinn-R I have created a batch file startTinn-R.bat with
this content:
REM START
junction %APPDATA%\Tinn-R %CD%\..\..\..\Application Data\Tinn-R
@start .\bin\Tinn-R
REM END
and copied the junction.exe into this dir as well.

When I double click this bat file, a link to the ini files on the USB stick
is created in the user's application data directory in the local harddrive
of the PC used. But note that this does not work if there exists a Tinn-R
directory already in the user's application data dir in local harddrive.

All the best,
  Werner


Werner W. wrote:
 
 JauntePE is really easy to use. It does not take any particular skill.
 Just launch the main application, click on the Lauch JPE Quickie Button
 and it will guide you through the process. I left everything with the
 default settings. In brief, one starts the Tinn-R installer once from
 within JPE probably to check which folders, files, and registry entries
 are generated. Then, again from within JPE, one starts the now on the
 portable media installed Tinn-R application and finally the entire
 application can be packaged up which probably generates the starter and
 virtualization files within the Tinn-R folder.
 
 I realized that startup of Tinn-R is now slower and I haven't worked with
 that installation seriously yet but everything seems all right so far. 
 
 Regards,
   Werner
 

-- 
View this message in context: 
http://www.nabble.com/portable-R-editor-tp22291017p22484751.html
Sent from the R help mailing list archive at Nabble.com.

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Re: [R] Is there any difference between - and =

2009-03-12 Thread Wacek Kusnierczyk
Jens Oehlschlägel wrote:
 Sean,

   
 would like to receive expert opinion to avoid potential trouble
 
 [..]
   
 i think the following is the most secure way if one really
 really has to do assignment in a function call
f({a=3})
 and if one keeps this convention, - can be dropped altogether.
 

 secure is relative, since due to R's lazy evaluation you never know whether a 
 function's argument is being evalutated, 

for sure, but that's not different between - and {=}.  in both cases,
if the argument is not used, assignment will not be made.

 f- function(x)TRUE
 x - 1
 f((x=2)) # obscured attempt to assign in a function call
 
 [1] TRUE
   
 x
 
 [1] 1
   

same with f(x-2)

 Thus there is dangerous advice in the referenced blog which reads:
 
 f(x - 3)
 which means assign 3 to x, and call f with the first argument set to the 
 value 3
 
 This might be the case in C but not in R. Actually in R f(x - 3) means: 
 call f with a first unevaluated argument x - 3, and if and only if f 
 decides to evaluate its first argument, then the assignment is done. 

indeed.  i have already argued that using assignment within function
calls is not a good idea; but pick any book on r, you likely to find
numerous examples of it, without an appropriate warning.


snip


 Here it is unpredictable whether your assignment takes place. Thus assigning 
 like f({x=1}) or f((x=1))

or f(x-1)

 is the maximum dangerous thing to do: even if you have a code-reviewer and 
 the guy is aware of the danger of f(x-1) he will probably miss it because 
 f((x=1)) does look too similar to a standard call f(x=1).
   

sorry, to me f({x=1}) looks pretty much unlike f(x=1).  if someone uses
assignments in function calls and does not know what he's doing, it's
his fault.

 According to help(-), R's assignment operator is rather - than =:

 
 The operators - and = assign into the environment in which they are 
 evaluated. The operator - can be used anywhere, whereas the operator = is 
 only allowed at the top level (e.g., in the complete expression typed at the 
 command prompt) or as one of the subexpressions in a braced list of 
 expressions.
   

to me, it doesn't say anything like that R's assignment operator is
rather - than =.


 

 So my recommendation is 
 1) use R's assignment operator with two spaces around (or assign()) and don't 
 obscure 

... but do beautify ...

 assignments by using C's 

don't acknowledge c for it

 assignment operator (or other languages equality operator)
 2) do not assign in function arguments unless you have good reasons like in 
 system.time(x - something)
   

certainly good advice.



 P.P.S. a puzzle, following an old tradition:

 What is going on here? (and what would you need to do to prove it?)
   

complete mystery to me.

cheers,
vQ

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[R] How to find maximum values on the density function of a random variable

2009-03-12 Thread guox
I would like to find the maximum values on the density function of a
random variable. For example, I have a random variable

rv - rbinom(1,1,0.1) + rnorm(1)

Its density function is given by density(rv) and can be displayed by
plot(density(rv)). How to calculate its maximum values?
A density function may have a few (global and local) maximum values.
Please help. Thanks,
-james

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Re: [R] Writing xls - multiple sheets

2009-03-12 Thread markleeds
 I think that Gabor sent something earlier today ( or atleast something 
related ) so check the archives for his solution.





On Thu, Mar 12, 2009 at  4:29 PM, Ferry wrote:


Hi,

Is there a package I can use to write to multiple sheets on xls file,
other than using the paid version of xlsReadWrite package
(xlsReadWritePro)?

Thank you,

Ferry

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Re: [R] Error.bars

2009-03-12 Thread Frank E Harrell Jr

Sueli Rodrigues wrote:

Hi,
I'm studying the Michael J. Crawley book (Statistics An Introduction using
R)and I'm trying to reproduce one example (page 168) for plot a barplot
with error bars, but when I put the function I receive the following
message. Please, could someone told me what's wrong?

error.bars=function(yv,z,nn){xv=barplot(yv,ylim=c(0,(max(yv)+max(z))),names=nn,ylab=deparse(substitute(yv)))g=(max(xv)-min(xv))/50
for(i in
1:length(xv)){lines(c(xv[i],xv[i]),c(yv[i]+z[i],yv[i]-z[i]))lines(c(xv[i]-g,xv[i]+g),c(yv[i]+z[i],yv[i]+z[i]))lines(c(xv[i]-g,xv[i]+g),c(yv[i]-z[i],yv[i]-z[i]))}}

Erro: unexpected symbol in
error.bars=function(yv,z,nn){xv=barplot(yv,ylim=c(0,(max(yv)+max(z))),names=nn,ylab=deparse(substitute(yv)))g


Sueli Rodrigues

Eng. Agrônoma - UNESP
Mestranda - USP/ESALQ
PPG-Solos e Nutrição de Plantas
Fones (19)93442981
  (19)33719762



This is the notorious dynamite plot which causes distorted
perceptions, has an arbitrary base, and other problems.  See 
http://biostat.mc.vanderbilt.edu/DynamitePlots for more

information.

Frank
--
Frank E Harrell Jr   Professor and Chair   School of Medicine
 Department of Biostatistics   Vanderbilt University

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[R] setdiff for data.frames?

2009-03-12 Thread Jason Rupert

I have two data.frames.

One is the subset of the other.  I need to determine what rows were removed 
from the superset data.frame to form the subset data.frame. 

I was hoping to turn up functionality similar to setdiff for data.frames, but 
did not have any luck.   It seems I need to find a function that performs the 
oposite as merge.


 dim(superset_dataframe)
[1] 248  31
 dim(subset_dataframe)
[1] 214  31

Thank you for any suggestions of functions that might exist that might help.

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[R] FW: Re: Writing xls - multiple sheets

2009-03-12 Thread markleeds

Jorge was kind enough to point out that I made a mistake in referencing 
gabor's solution.
See below. Thanks Jorge.


 Begin forwarded message 
Subject: Re: [R] Writing xls - multiple sheets
Date: 3/12/2009  6:03:13 PM
 From: Jorge Ivan Velez
To: markle...@verizon.net



Hi Mark,

Yes, he did (as always), but it is not what Ferry needed. Here is 
Gabor's post:

 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965
 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965

 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965
and here what I think Ferry wants to be able to do: 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965

 
http://www.nabble.com/read.xls-and-name-of-worksheet-to22477965.html#a22477965
 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html
 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html
 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html

 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html
Regards, 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html

 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html
Jorge 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html

 
http://www.nabble.com/Creating-an-Excel-file-with-multiple-spreadsheets-td22419398.html

On Thu, Mar 12, 2009 at 5:52 PM,  markle...@verizon.net 
mailto:markle...@verizon.net  wrote:
 I think that Gabor sent something earlier today ( or atleast something 
related ) so check the archives for his solution. 
mailto:markle...@verizon.net



On Thu, Mar 12, 2009 at  4:29 PM, Ferry wrote:

Hi,

Is there a package I can use to write to multiple sheets on xls file,
other than using the paid version of xlsReadWrite package
(xlsReadWritePro)?

Thank you,

Ferry

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http://www.R-project.org/posting-guide.html
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  http://www.R-project.org/posting-guide.html

[[alternative HTML version deleted]]

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Re: [R] setdiff for data.frames?

2009-03-12 Thread Gabor Grothendieck
Try this:

library(sqldf)
BODsub - BOD[1:3,]
sqldf(select * from BOD except select * from BODsub)

For more see: http://sqldf.googlecode.com

On Thu, Mar 12, 2009 at 5:58 PM, Jason Rupert jasonkrup...@yahoo.com wrote:

 I have two data.frames.

 One is the subset of the other.  I need to determine what rows were removed 
 from the superset data.frame to form the subset data.frame.

 I was hoping to turn up functionality similar to setdiff for data.frames, but 
 did not have any luck.   It seems I need to find a function that performs the 
 oposite as merge.


 dim(superset_dataframe)
 [1] 248  31
 dim(subset_dataframe)
 [1] 214  31

 Thank you for any suggestions of functions that might exist that might help.

 __
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 https://stat.ethz.ch/mailman/listinfo/r-help
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 and provide commented, minimal, self-contained, reproducible code.


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Re: [R] Writing xls - multiple sheets

2009-03-12 Thread Gabor Grothendieck
That was to read worksheet names but its true that the same packages
rcom and rdcom can control Excel and therefore write spreadsheets.

On Thu, Mar 12, 2009 at 5:52 PM,  markle...@verizon.net wrote:
  I think that Gabor sent something earlier today ( or atleast something
 related ) so check the archives for his solution.




 On Thu, Mar 12, 2009 at  4:29 PM, Ferry wrote:

 Hi,

 Is there a package I can use to write to multiple sheets on xls file,
 other than using the paid version of xlsReadWrite package
 (xlsReadWritePro)?

 Thank you,

 Ferry

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 http://www.R-project.org/posting-guide.html
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[R] Unable to run smoother in qplot() or ggplot() - complains about knots

2009-03-12 Thread Christopher David Desjardins

I get the following error when I run qplot()

qplot(grade, read,data = hhm.long.m, geom = c(point, smooth))

Error in smooth.construct.cr.smooth.spec(object, data, knots) :
 x has insufficient unique values to support 10 knots: reduce k.

I am not sure how to tackle this problem. When I take a subsample (  
1000) than I am able to run that function but with my sample of ~   
40,000 qplot gives me that error. I have 6 grades.

Please cc me on reply.
Thanks!
 Chris

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[R] Time-Ordered Clustering

2009-03-12 Thread Prew, Paul
Hello All,

Does anyone know of a package that performs constraint-based clusters?
Ideally the package could perform Time-Ordered Clustering, a technique
applied in a recent journal article by Runger, Nelson, Harnish (using MS
Excel). Quote, in our specific implementation of constrained
clustering, the clustering algorithm remains agglomerative and
hierarchical, but observations or clusters are constrained to only join
if they are adjacent in time.  CRAN searches using variants of
cluster and/or constraint and/or time etc. didn't yield anything I
could recognize.

Thank you,
Paul


Paul Prew
Ecolab
Eagan, MN
paul.p...@ecolab.com
CONFIDENTIALITY NOTICE: =\ \ This e-mail communication a...{{dropped:12}}

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