[R] How can I get the same result after running function maximinESE_LHS?

2015-01-31 Thread VIP
Hi All,
Recently I'm doing my thesis with LHS, and I created the design by using the 
folloing code.
require(DiceDesign)
require(DoE.wrapper)
set.seed(27662)
LHD=lhs.design(200,7,type=dmax,factor.names=list(
  Angle1=c(80,90),Angle2=c(90,100),
  Angle3=c(32,40),Radial2=c(10,15),
  Radial3=c(25,35),Length1=c(120,130),
  Length2=c(0,10)),range=0.98,niter_max=2000)
LHDnew=maximinESE_LHS(LHD,T0=0.005*phiP(LHD,p=50),inner_it=200,J=50,it=4)
plot(LHDnew$design$Angle1,LHDnew$design$Angle2)
plot(LHDnew$critValues,type=l)
LHDopt=LHDnew$design‍
As R language is new for me, Each time I run the code, the different LHDopt can 
get. I don't know how can I avoid this situation.
Anybody could help me?
BR,
Dean
[[alternative HTML version deleted]]

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Re: [R] R problem

2015-01-31 Thread John Kane
This post should help
http://stackoverflow.com/questions/9216138/find-the-day-of-a-week-in-r

John Kane
Kingston ON Canada


 -Original Message-
 From: cami090...@icloud.com
 Sent: Sat, 31 Jan 2015 10:06:08 +0100
 To: r-help@r-project.org
 Subject: [R] R problem
 
 Hi there,
 I have a problem, i have a dataset, in which there are time series from
 2010- to 2014, like this:
 -2014-01-30 15:39:46
 -2012-04-20 14:49:02
  And so on .
 I want to have a situation in which there are days of week expressed in
 word, because I have to calculate days of week and on the other hand week
 end. For example, i want :
 -2014- 01 monday 15:39:46
 -2012-04 saturday 14:49:02
 Thanks guys
 
 Inviato da iPhone
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Re: [R] How to use curve() function without using x as the variable name inside expression?

2015-01-31 Thread Ben Tupper
Hi Philippe,

Ah!  Thanks for pointing out the pesky ifelse() issue.  I have only recently 
been learning (the hard way) that ifelse() is not a tool for the uninformed 
like me, but it is ever so tempting!

I would like to offer another way to speed things up. findInterval() can be 
quite fast, and the speed up is most noticeable when the size of the input 
grows (note I made input x - 1:3000).

func - function (x, mn, mx) 1/(mx-mn) * (x = mn  x = mx)

funcIfElse - function (x, mn, mx) ifelse(x  mn | x  mx, 0, 1/(mx - mn))

funcFindInterval - function(x, mn, mx)  1/(mx - mn) * (findInterval(x, c(mn, 
mx), rightmost.closed = TRUE) == 1)

mn- 100; mx - 200; x - 1:3000
microbenchmark::microbenchmark(func(x, mn, mx), funcIfElse(x, mn, mx), 
funcFindInterval(x, mn, mx))

#Unit: microseconds
#expr min  lq  mean   median   uq  
max neval
# func(x, mn, mx)  74.920  76.006  88.57119  76.5635  78.7065  
897.333   100
#   funcIfElse(x, mn, mx) 728.388 733.206 832.02225 735.4280 796.1910 
1645.804   100
# funcFindInterval(x, mn, mx)  33.954  35.334  56.57323  36.5010  38.3340  
993.193   100

r1 - func(x, mn, mx)
r2 - funcIfElse(x, mn, mx)
r3 - funcFindInterval(x, mn, mx)

identical(r1, r2)
#[1] TRUE
identical(r2, r3)
#[1] TRUE

Cheers,
Ben


On Jan 31, 2015, at 4:03 AM, Philippe Grosjean phgrosj...@sciviews.org wrote:

 Also note that ifelse() should be avoided as much as possible. To define a 
 piecewise function you can use this trick:
 
 func - function (x, min, max) 1/(max-min) * (x = min  x = max)
 
 The performances are much better. This has no impact here, but it is a good 
 habit to take in case you manipulate such kind of functions in a more 
 computing-intensive context (numerical integration, nls(), etc.).
 
 funcIfElse - function (x, min, max) ifelse(x  min | x  max, 0, 1/(max - 
 min))
 min - 100; max - 200; x - 1:300
 microbenchmark::microbenchmark(func(x, min, max), funcIfElse(x, min, max))
 ## Unit: microseconds
 ## exprmin   lq  mean  median 
   uq  max neval
 ## func(x, min, max) 10.242  16.0175  18.43348  18.446  19.8680   
 47.266   100
 ##  funcIfElse(x, min, max) 90.386 125.1605 148.18555 143.455 148.6695 
 1203.292   100
 
 Best,
 
 Philippe Grosjean
 
 On 31 Jan 2015, at 09:39, Rolf Turner r.tur...@auckland.ac.nz wrote:
 
 On 31/01/15 21:10, C W wrote:
 Hi Bill,
 
 One quick question.  What if I wanted to use curve() for a uniform
 distribution?
 
 Say, unif(0.5, 1.3), 0 elsewhere.
 
 My R code:
 func - function(min, max){
  1 / (max - min)
 }
 
 curve(func(min = 0.5, max = 1.3), from = 0, to = 2)
 
 curve() wants an expression, but I have a constant.   And I want zero
 everywhere else.
 
 Well if that's what you want, then say so!!!
 
 func - function(x,min,max) {
  ifelse(x  min | x  max, 0, 1/(max - min))
 }
 
 curve(func(u,0.5,1.3),0,2,xname=u)
 
 Or, better (?) curve(func(u,0.5,1.3),0,2,xname=u,type=s)
 
 which avoids the slight slope in the vertical lines.
 
 cheers,
 
 Rolf Turner
 
 -- 
 Rolf Turner
 Technical Editor ANZJS
 Department of Statistics
 University of Auckland
 Phone: +64-9-373-7599 ext. 88276
 Home phone: +64-9-480-4619
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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[R] error in submission

2015-01-31 Thread Wael Hammam Fouad
  R x64 3.1.2 RStudio win8.1 64x error in submission
assignment 3 best function
*actually i have 2 code *
*the first have good **output but error in submission :*
*Selection: 1Error in best(BB, heart attack) : Invalid stateCalled
from: .rs.breakOnError(TRUE)*
best - function(state, outcome) {
outmeasures - read.csv(outcome-of-care-measures.csv, colClasses
= character)
caremeasures - subset(outmeasures,,select=c(Hospital.Name,
State
 ,
Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack
 ,
Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure
 ,
Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia))
names(caremeasures) - c(Hospital.Name, State, Heart.Attack,
 Heart.Failure, Pneumonia)
measuresstate - subset(caremeasures[caremeasures$State == state ,
 c(Hospital.Name, State ,
   Heart.Attack,
Heart.Failure,
   Pneumonia)])
if(!state %in% measuresstate$State) {
stop(Invalid state)
}
if(outcome == heart attack) {
minHos - measuresstate[, c(Hospital.Name,
Heart.Attack)]
minHos[, Heart.Attack] -
suppressWarnings(as.numeric(minHos[, Heart.Attack]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Attack,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == heart failure) {
minHos - measuresstate[, c(Hospital.Name,
Heart.Failure)]
minHos[, Heart.Failure] -
suppressWarnings(as.numeric(minHos[, Heart.Failure]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Failure,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == pneumonia) {
minHos - measuresstate[, c(Hospital.Name, Pneumonia)]
minHos[, Pneumonia] -
suppressWarnings(as.numeric(minHos[, Pneumonia]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Pneumonia,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else{
stop(Invalid outcome)
}
}


*the second have error* (best(BB, heart attack)
Error in minHospital[[1]][[1]] : subscript out of bounds)

*and it's looks like no check on state the is as follow :*
best - function(state, outcome) {
outmeasures - read.csv(outcome-of-care-measures.csv,
stringsAsFactors=FALSE, na.strings=Not Available)
if(!state %in% outmeasures$State |
   !outcome %in%
outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack |
   !outcome %in%
outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure |
   !outcome %in%
outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia) {
caremeasures - subset(outmeasures,,select=c(Hospital.Name,
State
,
Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack
,
Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure
,
Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia))
names(caremeasures) - c(Hospital.Name, State, Heart.Attack,
 Heart.Failure, Pneumonia)
measuresstate - subset(caremeasures[caremeasures$State == state ,
c(Hospital.Name, State ,
Heart.Attack,
  Heart.Failure, Pneumonia)])
if(outcome == heart attack) {
minHos - measuresstate[, c(Hospital.Name,
Heart.Attack)]
minHos[, Heart.Attack] -
suppressWarnings(as.numeric(minHos[, Heart.Attack]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Attack,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == heart failure) {
minHos - measuresstate[, c(Hospital.Name,
Heart.Failure)]
minHos[, Heart.Failure] -
suppressWarnings(as.numeric(minHos[, Heart.Failure]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Failure,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == pneumonia) {
minHos - measuresstate[, c(Hospital.Name, Pneumonia)]
minHos[, Pneumonia] -
suppressWarnings(as.numeric(minHos[, Pneumonia]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Pneumonia,
Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else{

[R] R problem

2015-01-31 Thread Camilla Timo
Hi there, 
I have a problem, i have a dataset, in which there are time series from 2010- 
to 2014, like this:
-2014-01-30 15:39:46
-2012-04-20 14:49:02
 And so on . 
I want to have a situation in which there are days of week expressed in word, 
because I have to calculate days of week and on the other hand week end. For 
example, i want :
-2014- 01 monday 15:39:46
-2012-04 saturday 14:49:02
Thanks guys 

Inviato da iPhone
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and provide commented, minimal, self-contained, reproducible code.


[R] aov and Error function

2015-01-31 Thread John Sorkin
I am trying to understand the Error function and its use in ANOVA. In 
particular I want to understand the difference between two models that differ 
only with respect to the Error statement:


aovsubj- aov(value~group+time+Error(subject),data=dataRMANOVA)
and
aovsubjgroup-aov(value~group+time+Error(subject/group),data=dataRMANOVA)
 
You will note that in my data I have two subject identifiers, subject and 
subject2. I am also trying to trying to understand how I should identify 
subjects, within group (i.e. intervention vs. control) or within time 
(0=baseline, 1=post)


 dataRMANOVA
   value time group subject subject2
1   1.000   int   11
2   2.000   int   22
3   3.000   int   33
4   4.000   int   44
5   5.000   int   55
6   6.000   int   66
7   7.000   int   77
8   8.000   int   88
9   9.000   int   99
10 10.000   int  10   10
11 11.000   int  11   11
12 12.000   int  12   12
13 13.000   int  13   13
14 14.000   int  14   14
15 15.000   int  15   15
16 16.000   int  16   16
17 17.000   int  17   17
18 18.000   int  18   18
19 19.000   int  19   19
20 20.000   int  20   20
21 21.000  cont   1   21
22 22.000  cont   2   22
23 23.000  cont   3   23
24 24.000  cont   4   24
25 25.000  cont   5   25
26 26.000  cont   6   26
27 27.000  cont   7   27
28 28.000  cont   8   28
29 29.000  cont   9   29
30 30.000  cont  10   30
31 31.000  cont  11   31
32 32.000  cont  12   32
33 33.000  cont  13   33
34 34.000  cont  14   34
35 35.000  cont  15   35
36 36.000  cont  16   36
37 37.000  cont  17   37
38 38.000  cont  18   38
39 39.000  cont  19   39
40 40.000  cont  20   40
41  2.8791311   int   11
42  1.5336511   int   22
43  2.4877561   int   33
44  3.4460681   int   44
45  5.1798541   int   55
46  5.7758191   int   66
47  6.9239791   int   77
48  8.1637341   int   88
49  9.5459741   int   99
50  8.7921861   int  10   10
51 11.6575031   int  11   11
52 12.6813931   int  12   12
53 15.0586881   int  13   13
54 13.7576731   int  14   14
55 15.4590291   int  15   15
56 15.5355491   int  16   16
57 16.4332371   int  17   17
58 17.2473301   int  18   18
59 19.0619271   int  19   19
60 21.1650031   int  20   20
61 20.4367051  cont   1   21
62 23.1432301  cont   2   22
63 23.4569461  cont   3   23
64 23.1322841  cont   4   24
65 24.9020171  cont   5   25
66 26.4503991  cont   6   26
67 27.3569431  cont   7   27
68 27.4020231  cont   8   28
69 29.7598831  cont   9   29
70 27.9696281  cont  10   30
71 30.0614751  cont  11   31
72 32.5324271  cont  12   32
73 33.3788771  cont  13   33
74 34.8522441  cont  14   34
75 34.9585941  cont  15   35
76 35.6732251  cont  16   36
77 37.9082081  cont  17   37
78 37.9824711  cont  18   38
79 39.0169171  cont  19   39
80 39.5075831  cont  20   40


Thank you,
John


John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric 
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing) 


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Re: [R] How to use curve() function without using x as the variable name inside expression?

2015-01-31 Thread Philippe Grosjean
Also note that ifelse() should be avoided as much as possible. To define a 
piecewise function you can use this trick:

func - function (x, min, max) 1/(max-min) * (x = min  x = max)

The performances are much better. This has no impact here, but it is a good 
habit to take in case you manipulate such kind of functions in a more 
computing-intensive context (numerical integration, nls(), etc.).

funcIfElse - function (x, min, max) ifelse(x  min | x  max, 0, 1/(max - min))
min - 100; max - 200; x - 1:300
microbenchmark::microbenchmark(func(x, min, max), funcIfElse(x, min, max))
## Unit: microseconds
## exprmin   lq  mean  median   
uq  max neval
## func(x, min, max) 10.242  16.0175  18.43348  18.446  19.8680   
47.266   100
##  funcIfElse(x, min, max) 90.386 125.1605 148.18555 143.455 148.6695 1203.292 
  100

Best,

Philippe Grosjean

 On 31 Jan 2015, at 09:39, Rolf Turner r.tur...@auckland.ac.nz wrote:
 
 On 31/01/15 21:10, C W wrote:
 Hi Bill,
 
 One quick question.  What if I wanted to use curve() for a uniform
 distribution?
 
 Say, unif(0.5, 1.3), 0 elsewhere.
 
 My R code:
 func - function(min, max){
   1 / (max - min)
 }
 
 curve(func(min = 0.5, max = 1.3), from = 0, to = 2)
 
 curve() wants an expression, but I have a constant.   And I want zero
 everywhere else.
 
 Well if that's what you want, then say so!!!
 
 func - function(x,min,max) {
   ifelse(x  min | x  max, 0, 1/(max - min))
 }
 
 curve(func(u,0.5,1.3),0,2,xname=u)
 
 Or, better (?) curve(func(u,0.5,1.3),0,2,xname=u,type=s)
 
 which avoids the slight slope in the vertical lines.
 
 cheers,
 
 Rolf Turner
 
 -- 
 Rolf Turner
 Technical Editor ANZJS
 Department of Statistics
 University of Auckland
 Phone: +64-9-373-7599 ext. 88276
 Home phone: +64-9-480-4619
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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Re: [R] How to use curve() function without using x as the variable name inside expression?

2015-01-31 Thread peter dalgaard

 On 31 Jan 2015, at 09:39 , Rolf Turner r.tur...@auckland.ac.nz wrote:
 
 On 31/01/15 21:10, C W wrote:
 Hi Bill,
 
 One quick question.  What if I wanted to use curve() for a uniform
 distribution?
 
 Say, unif(0.5, 1.3), 0 elsewhere.
 
 My R code:
 func - function(min, max){
   1 / (max - min)
 }
 
 curve(func(min = 0.5, max = 1.3), from = 0, to = 2)
 
 curve() wants an expression, but I have a constant.   And I want zero
 everywhere else.
 
 Well if that's what you want, then say so!!!
 
 func - function(x,min,max) {
   ifelse(x  min | x  max, 0, 1/(max - min))
 }
 

Oy! help(Uniform) called. I wants its density function back...

 curve(func(u,0.5,1.3),0,2,xname=u)
 
 Or, better (?) curve(func(u,0.5,1.3),0,2,xname=u,type=s)
 
 which avoids the slight slope in the vertical lines.

It might put the verticals in the wrong place though. I usually just increase 
the n parameter:

curve(dunif(u,.5, 1.3), from=0, to=2, n=5001, xname=u) 


-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd@cbs.dk  Priv: pda...@gmail.com

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Re: [R] How to use curve() function without using x as the variable name inside expression?

2015-01-31 Thread C W
Hi Bill,

One quick question.  What if I wanted to use curve() for a uniform
distribution?

Say, unif(0.5, 1.3), 0 elsewhere.

My R code:
func - function(min, max){
  1 / (max - min)
}

curve(func(min = 0.5, max = 1.3), from = 0, to = 2)

curve() wants an expression, but I have a constant.   And I want zero
everywhere else.

Thanks,

Mike

On Thu, Jan 29, 2015 at 10:34 PM, C W tmrs...@gmail.com wrote:

 Hi Bill,

 You solved by problem.  For some reason, I thought xname was only
 referring to name of the x-axis.

 I remember last time I fixed it, it was something about xname, couldn't
 get it right this time.

 Thanks!  Saved me hours from frustration.

 Mike

 On Thu, Jan 29, 2015 at 9:04 PM, William Dunlap wdun...@tibco.com wrote:

 Does
help(curve)
 talk about its 'xname' argument?

 Try
curve(10*foofoo, from=0, to=17, xname=foofoo)

 You will have to modify your function, since curve() will
 call it once with a long vector for the independent variable
 and func(rnorm(10), rnorm(10), mu=seq(0,5,len=501)) won't
 work right.


 Bill Dunlap
 TIBCO Software
 wdunlap tibco.com

 On Thu, Jan 29, 2015 at 5:43 PM, C W tmrs...@gmail.com wrote:

 Hi Rui,

 Thank you for your help.  That works for now, but eventually, I need to
 be
 pass in x and y.

 Is there a way to tell the curve() function, x is a fix vector, mu is a
 variable!

 Thanks,

 Mike

 On Thu, Jan 29, 2015 at 5:25 PM, Rui Barradas ruipbarra...@sapo.pt
 wrote:

  Hello,
 
  The following will work, but I don't know if it's what you want. func2
  will get x and y from the global environment.
 
  func2 - function(mu){
 x + y + mu ^ 2
  }
 
  curve(func2, from = 0, to = 10)
 
 
  Hope this helps,
 
  Rui Barradas
 
  Em 29-01-2015 21:02, C W escreveu:
 
  Hi all,
 
  I want to graph a curve as a function of mu, not x.
 
  Here's the R code:
 
  x - rnorm(10)
  y - rnorm(10)
 
  func - function(x, y, mu){
  x + y + mu ^ 2
  }
 
  curve(f = func(x = x, y = y, mu), from = 0, to = 10)
  I know I can change variable mu to x, but is there a way to tell R
 that mu
  is the variable of interest, not x.
 
  Thanks in advance,
 
  Mike
 
  [[alternative HTML version deleted]]
 
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  PLEASE do read the posting guide http://www.R-project.org/
  posting-guide.html
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Re: [R] naming rows/columns in 'array of matrices' | solved

2015-01-31 Thread peter dalgaard

 On 30 Jan 2015, at 20:34 , Evan Cooch evan.co...@gmail.com wrote:
 
 The (obvious, after the fact) solution at the bottom. D'oh...
 
[snip]
 Forgot I was dealing with a multi-dimensional array, not a list. So, 
 following works fine. I'm sure there are better approaches (where 'better' is 
 either 'cooler', or 'more flexible'), but for the moment...)
 
 P - array(0, c(2,2,2),dimnames=list(c(live,dead),c(old,young),NULL))
 
 P[,,1] - matrix(c(1,2,3,4),2,2,byrow=T);
 P[,,2] - matrix(c(5,6,7,8),2,2,byrow=T);
 
 print(P);
 

Just for completeness, this also works:

 P - array(0, c(2,2,2)) 
 P[,,1] - matrix(c(1,2,3,4),2,2,byrow=T);
 P[,,2] - matrix(c(5,6,7,8),2,2,byrow=T);

 dimnames(P)[[1]] - c(live,dead)
 dimnames(P)[[2]] - c(live,dead)


-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd@cbs.dk  Priv: pda...@gmail.com

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Re: [R] How to use curve() function without using x as the variable name inside expression?

2015-01-31 Thread Rolf Turner

On 31/01/15 21:10, C W wrote:

Hi Bill,

One quick question.  What if I wanted to use curve() for a uniform
distribution?

Say, unif(0.5, 1.3), 0 elsewhere.

My R code:
func - function(min, max){
   1 / (max - min)
}

curve(func(min = 0.5, max = 1.3), from = 0, to = 2)

curve() wants an expression, but I have a constant.   And I want zero
everywhere else.


Well if that's what you want, then say so!!!

func - function(x,min,max) {
   ifelse(x  min | x  max, 0, 1/(max - min))
}

curve(func(u,0.5,1.3),0,2,xname=u)

Or, better (?) curve(func(u,0.5,1.3),0,2,xname=u,type=s)

which avoids the slight slope in the vertical lines.

cheers,

Rolf Turner

--
Rolf Turner
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
Home phone: +64-9-480-4619

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Re: [R] How can I get the same result after running function maximinESE_LHS?

2015-01-31 Thread Jeff Newmiller
Because your code includes set.seed, I would expect that running it all from 
scratch should lead to the same result every time. I an not familiar with that 
specific package, so there could be a surprise in it, but unlikely. I suspect 
that you are running parts of the code to get different results.

Please read the Posting Guide, which among other things mentions that this is a 
plain text email list. Failing to send your email in plain text leads to us not 
seeing what you sent as you saw it, which leads to problems understanding each 
other.
---
Jeff NewmillerThe .   .  Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
/Software/Embedded Controllers)   .OO#.   .OO#.  rocks...1k
--- 
Sent from my phone. Please excuse my brevity.

On January 31, 2015 4:12:55 AM PST, VIP 850939...@qq.com wrote:
Hi All,
Recently I'm doing my thesis with LHS, and I created the design by
using the folloing code.
require(DiceDesign)
require(DoE.wrapper)
set.seed(27662)
LHD=lhs.design(200,7,type=dmax,factor.names=list(
  Angle1=c(80,90),Angle2=c(90,100),
  Angle3=c(32,40),Radial2=c(10,15),
  Radial3=c(25,35),Length1=c(120,130),
  Length2=c(0,10)),range=0.98,niter_max=2000)
LHDnew=maximinESE_LHS(LHD,T0=0.005*phiP(LHD,p=50),inner_it=200,J=50,it=4)
plot(LHDnew$design$Angle1,LHDnew$design$Angle2)
plot(LHDnew$critValues,type=l)
LHDopt=LHDnew$design‍
As R language is new for me, Each time I run the code, the different
LHDopt can get. I don't know how can I avoid this situation.
Anybody could help me?
BR,
Dean
   [[alternative HTML version deleted]]

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Re: [R] R problem

2015-01-31 Thread Chel Hee Lee
 ex - strptime(c(2014-01-30 15:39:46, 2012-04-20 14:49:02), 
format=%Y-%m-%d %H:%M:%S)

 ex
[1] 2014-01-30 15:39:46 CST 2012-04-20 14:49:02 CST
 format(ex, format=%a)
[1] Thu Fri
 format(ex, format=%A)
[1] Thursday Friday
 weekdays(ex)
[1] Thursday Friday


Is this what you are looking for?  I hope this helps.

Chel Hee Lee


On 1/31/2015 3:06 AM, Camilla Timo wrote:

Hi there,
I have a problem, i have a dataset, in which there are time series from 2010- 
to 2014, like this:
-2014-01-30 15:39:46
-2012-04-20 14:49:02
  And so on .
I want to have a situation in which there are days of week expressed in word, 
because I have to calculate days of week and on the other hand week end. For 
example, i want :
-2014- 01 monday 15:39:46
-2012-04 saturday 14:49:02
Thanks guys

Inviato da iPhone
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Re: [R] pch size in a legend

2015-01-31 Thread Chel Hee Lee

Hi Ahmed,

It also works with the following working environment:

 R.version
   _
platform   x86_64-w64-mingw32
arch   x86_64
os mingw32
system x86_64, mingw32
status
major  3
minor  1.2
year   2014
month  10
day31
svn rev66913
language   R
version.string R version 3.1.2 (2014-10-31)
nickname   Pumpkin Helmet

 unlist(.Platform)
 OS.type file.sep   dynlib.ext  GUI   endian 
pkgType
   windows  /   .dll   Rgui little 
win.binary

path.sep   r_arch
 ;x64


Chel Hee Lee

On 1/30/2015 9:55 PM, Jim Lemon wrote:

Hi Ahmed,
Hmmm, this seems to work for me (R-3.1.2, Linux)

legend(0,2100, legend=c(2009,2010,2012,2013,2014),
  col = 1,cex=1,lty=NA,pch=c(1,2,6,7,8),lwd=2,bty=n,pt.cex=2)

Jim



On Sat, Jan 31, 2015 at 8:49 AM, Ahmed Attia ahmedati...@gmail.com wrote:

Hi R users,

I would like to adjust the pch size in a legend without changing the
text size, pt.cex does not do the job. R 2.15.2 32 bit.

legend(0,2100, legend=c(2009,2010,2012,2013,2014),
col = 1,cex=1,lty=NA,pch=c(1,2,6,7,8),lwd=2,bty=n)

Thanks


Ahmed Attia, Ph.D.
Agronomist  Soil Scientist

Post-Doc Research Associate
Texas AM AgriLife Research-Vernon
ahmed.at...@ag.tamu.edu
Cell phone: 001-979-248-5215

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Re: [R] error in submission

2015-01-31 Thread David Winsemius
This is clearly a homework problem and probably one for an online Coursera 
course. If that guess is correct, then you should be using the facilities for 
help through the course website.

On Jan 31, 2015, at 2:11 AM, Wael Hammam Fouad wrote:

  R x64 3.1.2 RStudio win8.1 64x error in submission
 assignment 3 best function
 *actually i have 2 code *
 *the first have good **output but error in submission :*
 *Selection: 1Error in best(BB, heart attack) : Invalid stateCalled
 from: .rs.breakOnError(TRUE)*
 best - function(state, outcome) {
outmeasures - read.csv(outcome-of-care-measures.csv, colClasses
 = character)
caremeasures - subset(outmeasures,,select=c(Hospital.Name,
 State
 ,
 Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack
 ,
 Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure
 ,
 Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia))
names(caremeasures) - c(Hospital.Name, State, Heart.Attack,
 Heart.Failure, Pneumonia)
measuresstate - subset(caremeasures[caremeasures$State == state ,
 c(Hospital.Name, State ,
   Heart.Attack, Heart.Failure,
   Pneumonia)])

if(!state %in% measuresstate$State) {
stop(Invalid state)
}
if(outcome == heart attack) {
minHos - measuresstate[, c(Hospital.Name,
 Heart.Attack)]
minHos[, Heart.Attack] -
 suppressWarnings(as.numeric(minHos[, Heart.Attack]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Attack,
 Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == heart failure) {
minHos - measuresstate[, c(Hospital.Name,
 Heart.Failure)]
minHos[, Heart.Failure] -
 suppressWarnings(as.numeric(minHos[, Heart.Failure]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Failure,
 Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == pneumonia) {
minHos - measuresstate[, c(Hospital.Name, Pneumonia)]
minHos[, Pneumonia] -
 suppressWarnings(as.numeric(minHos[, Pneumonia]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Pneumonia,
 Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else{
stop(Invalid outcome)
}
 }
 
 
 *the second have error* (best(BB, heart attack)
 Error in minHospital[[1]][[1]] : subscript out of bounds)
 
 *and it's looks like no check on state the is as follow :*

That phrase cannot be parsed by this native-speaker.

 best - function(state, outcome) {
outmeasures - read.csv(outcome-of-care-measures.csv,
 stringsAsFactors=FALSE, na.strings=Not Available)
if(!state %in% outmeasures$State |
   !outcome %in%
 outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack |
   !outcome %in%
 outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure |
   !outcome %in%
 outmeasures$Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia) {
caremeasures - subset(outmeasures,,select=c(Hospital.Name,
 State
,
 Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack
,
 Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure
,
 Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia))
names(caremeasures) - c(Hospital.Name, State, Heart.Attack,
 Heart.Failure, Pneumonia)
measuresstate - subset(caremeasures[caremeasures$State == state ,
c(Hospital.Name, State ,
 Heart.Attack,
  Heart.Failure, Pneumonia)])
if(outcome == heart attack) {
minHos - measuresstate[, c(Hospital.Name,
 Heart.Attack)]
minHos[, Heart.Attack] -
 suppressWarnings(as.numeric(minHos[, Heart.Attack]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Attack,
 Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == heart failure) {
minHos - measuresstate[, c(Hospital.Name,
 Heart.Failure)]
minHos[, Heart.Failure] -
 suppressWarnings(as.numeric(minHos[, Heart.Failure]))
minHosN - na.omit(minHos)
minHospital - minHosN[with(minHosN, order(Heart.Failure,
 Hospital.Name)), ]
return(minHospital[[1]][[1]])
}else if(outcome == pneumonia) {
minHos 

Re: [R] quetion about matrix compute

2015-01-31 Thread Chel Hee Lee

Here is another implementation:

 b
[1] 1 2 3 4 5
 c
[1] 1 2 1 3 5 4
 outer(c,b, ==)*1
 [,1] [,2] [,3] [,4] [,5]
[1,]10000
[2,]01000
[3,]10000
[4,]00100
[5,]00001
[6,]00010

I hope this helps.

Chel Hee Lee

On 1/30/2015 11:52 AM, JS Huang wrote:

Hi,

   Here is my implementation.  Hope this helps.


b

[1] 1 2 3 4 5

c

[1] 1 2 1 3 5 4

sapply(b,function(x)ifelse(x==c,1,0))

  [,1] [,2] [,3] [,4] [,5]
[1,]10000
[2,]01000
[3,]10000
[4,]00100
[5,]00001
[6,]00010



--
View this message in context: 
http://r.789695.n4.nabble.com/quetion-about-matrix-compute-tp4702505p4702532.html
Sent from the R help mailing list archive at Nabble.com.

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[R] Updating CRAN Website

2015-01-31 Thread Alton Crooks
Greetings
I wanted to suggest that the CRAN website needs to be updated to look and
fuction more like the Python website (https://www.python.org/).  Hopefully
better.  I know this is an open source project and I am more appreciative
of this project than you know.  But, I would like to see it advance.
Python is open source as well and the website is a lot more user friendly
and aesthetically pleasing that the CRAN website.  Thank you for your time
and consideration.

Alton

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Re: [R] naming rows/columns in 'array of matrices' | solved

2015-01-31 Thread David L Carlson
You can also add names to the dimensions:

 dimnames(P)[[1]] - c(live,dead)
 dimnames(P)[[2]] - c(old,young)
 names(dimnames(P)) - c(status, age, NULL)
 P
, , 1

  age
status old young
  live   1 2
  dead   3 4

, , 2

  age
status old young
  live   5 6
  dead   7 8


David L. Carlson
Department of Anthropology
Texas AM University

-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of peter dalgaard
Sent: Saturday, January 31, 2015 2:19 AM
To: Evan Cooch
Cc: r-help@r-project.org
Subject: Re: [R] naming rows/columns in 'array of matrices' | solved


 On 30 Jan 2015, at 20:34 , Evan Cooch evan.co...@gmail.com wrote:
 
 The (obvious, after the fact) solution at the bottom. D'oh...
 
[snip]
 Forgot I was dealing with a multi-dimensional array, not a list. So, 
 following works fine. I'm sure there are better approaches (where 'better' is 
 either 'cooler', or 'more flexible'), but for the moment...)
 
 P - array(0, c(2,2,2),dimnames=list(c(live,dead),c(old,young),NULL))
 
 P[,,1] - matrix(c(1,2,3,4),2,2,byrow=T);
 P[,,2] - matrix(c(5,6,7,8),2,2,byrow=T);
 
 print(P);
 

Just for completeness, this also works:

 P - array(0, c(2,2,2)) 
 P[,,1] - matrix(c(1,2,3,4),2,2,byrow=T);
 P[,,2] - matrix(c(5,6,7,8),2,2,byrow=T);

 dimnames(P)[[1]] - c(live,dead)
 dimnames(P)[[2]] - c(live,dead)


-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd@cbs.dk  Priv: pda...@gmail.com

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[R] Failure to execute R CMD SHLIB successfully

2015-01-31 Thread Fisher Dennis
R 3.1.2
Windows 7

Colleagues

I am working with c code that reads sas7bdat files into R.  I have been 
successful in compiling and running the code in both OS X and Windows.  
Recently, the author of the c code added code that calls iconv.h (in order to 
convert encodings).  Using the new version of the c code, I can run compile and 
run the code in OS X without problems.  However, when I run the code in 
Windows, I encounter a series of warnings, followed by what appear to be errors 
— and the code is not compiled.  

I have installed the latest version of Rtools and I have set the path as 
follows:
set PATH=c:\Rtools\bin;c:\Rtools\gcc-4.6.3\bin;c:\program files 
(c86)\gnuwin32\bin;c:\MiKTeX\miktex\bin;%R32%;c:\windows;c:\windows\system32
where R32 is the path to the 32-but version of R

The command that I execute is:
R CMD SHLIB -o ../compiled/Windows32.so ConvertSAS.c CKHashTable.c 
readstat_convert.c readstat_bits.c readstat_io.c readstat_sas.c)

I get a series of warnings:
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c ConvertSAS.c -o ConvertSAS.o
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c CKHashTable.c -o CKHashTable.o
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c readstat_convert.c -o readstat_convert.o
 readstat_convert.c: In function 'readstat_convert':
 readstat_convert.c:23:9: warning: passing argument 2 of 'libiconv' from 
 incompatible pointer type [enabled by default]
 iconv.h:92:37: note: expected 'const char **' but argument is of type 'char 
 **'
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c readstat_bits.c -o readstat_bits.o
 readstat_bits.c: In function 'byteswap_float':
 readstat_bits.c:59:5: warning: dereferencing type-punned pointer will break 
 strict-aliasing rules [-Wstrict-aliasing]
 readstat_bits.c:60:5: warning: dereferencing type-punned pointer will break 
 strict-aliasing rules [-Wstrict-aliasing]
 readstat_bits.c: In function 'byteswap_double':
 readstat_bits.c:64:5: warning: dereferencing type-punned pointer will break 
 strict-aliasing rules [-Wstrict-aliasing]
 readstat_bits.c:65:5: warning: dereferencing type-punned pointer will break 
 strict-aliasing rules [-Wstrict-aliasing]
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c readstat_io.c -o readstat_io.o
 gcc -m32 -IC:/PROGRA~1/R/R-31~1.2/include -DNDEBUG 
 -Id:/RCompile/CRANpkg/extralibs64/local/include -O3 -Wall  -std=gnu99 
 -mtune=core2 -c readstat_sas.c -o readstat_sas.o
 readstat_sas.c: In function 'sas_read_header':
 readstat_sas.c:204:20: warning: variable 'a2' set but not used 
 [-Wunused-but-set-variable]
 readstat_sas.c: In function 'sas_parse_page_pass1':
 readstat_sas.c:788:23: warning: variable 'subheader_type' set but not used 
 [-Wunused-but-set-variable]
 readstat_sas.c:770:14: warning: variable 'page_type' set but not used 
 [-Wunused-but-set-variable]
 readstat_sas.c: In function 'sas_parse_page_pass2':
 readstat_sas.c:861:27: warning: variable 'subheader_type' set but not used 
 [-Wunused-but-set-variable]
 readstat_sas.c: In function 'parse_sas7bdat':
 readstat_sas.c:1029:9: warning: implicit declaration of function 'dprintf' 
 [-Wimplicit-function-declaration]
 
followed by a series of errors:
 gcc -m32 -shared -s -static-libgcc -o ../compiled/Windows32.so tmp.def 
 ConvertSAS.o CKHashTable.o readstat_convert.o readstat_bits.o readstat_io.o 
 readstat_sas.o -Ld:/RCompile/CRANpkg/extralibs64/local/lib/i386 
 -Ld:/RCompile/CRANpkg/extralibs64/local/lib -LC:/PROGRA~1/R/R-31~1.2/bin/i386 
 -lR
 readstat_convert.o:readstat_convert.c:(.text+0x42): undefined reference to 
 `_imp__libiconv'
 readstat_sas.o:readstat_sas.c:(.text+0x10b5): undefined reference to 
 `_imp__libiconv_close'
 readstat_sas.o:readstat_sas.c:(.text+0x1126): undefined reference to 
 `_imp__libiconv_open'
 readstat_sas.o:readstat_sas.c:(.text+0x1808): undefined reference to `dprintf'
 readstat_sas.o:readstat_sas.c:(.text+0x1da1): undefined reference to 
 `_imp__libiconv_open'
 readstat_sas.o:readstat_sas.c:(.text+0x1de4): undefined reference to 
 `_imp__libiconv_close'
 collect2: ld returned 1 exit status
 
The errors all reference libiconv.   Note that the first line in the errors 
references extralibs64.  I don’t understand where this is coming from since the 
gcc command is created by R CMD SHLIB using the 32-fit version of R.  I 
replaced both instance of extralibs64 with extralibs32 but the identical error 
messages appear.  

Does anyone have an idea as to the problem here? 

Any help would be 

Re: [R] Dropping time series observations

2015-01-31 Thread William Dunlap
For class 'ts' the 'window' function in the base package will do it.

 x - ts(101:117, start=2001.75, frequency=4)
 x
 Qtr1 Qtr2 Qtr3 Qtr4
2001 101
2002  102  103  104  105
2003  106  107  108  109
2004  110  111  112  113
2005  114  115  116  117
 window(x, start=2002.5)
 Qtr1 Qtr2 Qtr3 Qtr4
2002104  105
2003  106  107  108  109
2004  110  111  112  113
2005  114  115  116  117
 window(x, end=2002.5)
 Qtr1 Qtr2 Qtr3 Qtr4
2001 101
2002  102  103  104



Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Sat, Jan 31, 2015 at 11:16 AM, Mikael Olai Milhøj mikaelmil...@gmail.com
 wrote:

 Hi

 Is there an easy way to drop, for instance, the first 4 observation of a
 time series object in R? I have tried to google the answer without any
 luck.

 To be more clear:
 Let us say that I have a time seres object x which data from 2000Q1 to
 2014Q4 but I only want the data from 2001Q1 to 2014Q4.How do I remove the
 first four elements?

 By using x[5:?] R no longer recognize it as a ts.object.

 Thank you

 Best regards

 [[alternative HTML version deleted]]

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Re: [R] Melt and Rbind/Rbindlist

2015-01-31 Thread jim holtman
It would have been nice if you had at least supplied a subset (~10 lines)
from a couple of files so we could see what the data looks like and test
out any solution. Since you are using 'data.table', you should probably
also use 'fread' for reading in the data.  Here is a possible approach of
reading the data into a list and then creating a single, large data.table:

---
myDTs - lapply(filelist, function(.file) {
  tmp1 - fread(.file, sep=,)
  tmp2 - melt(tmp1, id=FIPS)
  tmp2$year - as.numeric(substr(tmp2$variable,2,5))
  tmp2$month - as.numeric(substr(tmp2$variable,7,8))
  tmp2$day - as.numeric(substr(tmp2$variable,10,11))
  tmp2  # return value
})

bigDT - rbindlist(myDTs)  # rbind all the data.tables together

# then you should be able to do:

mean.temp - bigDT[, list(temp.mean=lapply(.SD, mean),
   by=c(FIPS,year,month), .SDcols=c(temp)]




Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

On Sat, Jan 31, 2015 at 5:57 PM, Shouro Dasgupta sho...@gmail.com wrote:

 I have climate data for 20 years for US counties (FIPS) in csv format, each
 file represents one year of data. I have extracted the data and reshaped
 the yearly data files using melt();

 for (i in filelist) {
tmp1 - as.data.table(read.csv(i,header=T, sep=,))
tmp2 - melt(tmp1, id=FIPS)
tmp2$year - as.numeric(substr(tmp2$variable,2,5))
tmp2$month - as.numeric(substr(tmp2$variable,7,8))
tmp2$day - as.numeric(substr(tmp2$variable,10,11))
  }


 Should I *rbind *in the loop here as I have the memory?
 So, the file (i) tmp2 looks like this:

 FIPS  temp year month  date
  1001 276.7936 2045 1 1/1/2045
  1003 276.7936 2045 1 1/1/2045
  1005 279.6452 2045 1 1/1/2045
  1007 276.7936 2045 1 1/1/2045
  1009 272.3748 2045 1 1/1/2045
  1011 279.6452 2045 1 1/1/2045


 My goal is calculate the mean by FIPS code by month/week, however, when I
 use the following code, I get a NULL value.

 mean.temp- for (i in filelist) {tmp2[, list(temp.mean=lapply(.SD, mean),
  by=c(FIPS,year,month), .SDcols=c(temp)]}


 This works fine for individual years but with *for (i in filelist)*. What
 am I doing wrong? Can include a rbind/bindlist in the loop to make a big
 data.frame? Any suggestions will be highly appreciated. Thank you.

 Sincerely,

 Shouro

 [[alternative HTML version deleted]]

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[R] Dropping time series observations

2015-01-31 Thread Mikael Olai Milhøj
Hi

Is there an easy way to drop, for instance, the first 4 observation of a
time series object in R? I have tried to google the answer without any
luck.

To be more clear:
Let us say that I have a time seres object x which data from 2000Q1 to
2014Q4 but I only want the data from 2001Q1 to 2014Q4.How do I remove the
first four elements?

By using x[5:?] R no longer recognize it as a ts.object.

Thank you

Best regards

[[alternative HTML version deleted]]

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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] The R Journal, Volume 6, Issue 2

2015-01-31 Thread Deepayan Sarkar
Dear All,

The latest issue of The R Journal is now available at
http://journal.r-project.org/archive/2014-2/

Many thanks to all contributors.

Regards,
-Deepayan

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


[R] Melt and Rbind/Rbindlist

2015-01-31 Thread Shouro Dasgupta
I have climate data for 20 years for US counties (FIPS) in csv format, each
file represents one year of data. I have extracted the data and reshaped
the yearly data files using melt();

for (i in filelist) {
   tmp1 - as.data.table(read.csv(i,header=T, sep=,))
   tmp2 - melt(tmp1, id=FIPS)
   tmp2$year - as.numeric(substr(tmp2$variable,2,5))
   tmp2$month - as.numeric(substr(tmp2$variable,7,8))
   tmp2$day - as.numeric(substr(tmp2$variable,10,11))
 }


Should I *rbind *in the loop here as I have the memory?
So, the file (i) tmp2 looks like this:

FIPS  temp year month  date
 1001 276.7936 2045 1 1/1/2045
 1003 276.7936 2045 1 1/1/2045
 1005 279.6452 2045 1 1/1/2045
 1007 276.7936 2045 1 1/1/2045
 1009 272.3748 2045 1 1/1/2045
 1011 279.6452 2045 1 1/1/2045


My goal is calculate the mean by FIPS code by month/week, however, when I
use the following code, I get a NULL value.

mean.temp- for (i in filelist) {tmp2[, list(temp.mean=lapply(.SD, mean),
 by=c(FIPS,year,month), .SDcols=c(temp)]}


This works fine for individual years but with *for (i in filelist)*. What
am I doing wrong? Can include a rbind/bindlist in the loop to make a big
data.frame? Any suggestions will be highly appreciated. Thank you.

Sincerely,

Shouro

[[alternative HTML version deleted]]

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


Re: [R] Dropping time series observations

2015-01-31 Thread Gabor Grothendieck
On Sat, Jan 31, 2015 at 2:16 PM, Mikael Olai Milhøj
mikaelmil...@gmail.com wrote:
 Hi

 Is there an easy way to drop, for instance, the first 4 observation of a
 time series object in R? I have tried to google the answer without any
 luck.

 To be more clear:
 Let us say that I have a time seres object x which data from 2000Q1 to
 2014Q4 but I only want the data from 2001Q1 to 2014Q4.How do I remove the
 first four elements?

 By using x[5:?] R no longer recognize it as a ts.object.


1.  We could convert it to a zoo series, drop the first 4 and convert back:

For example, using the built in presidents ts series:

library(zoo)
as.ts(tail(as.zoo(presidents), -4))

1a. This would work too:

library(zoo)
as.ts(as.zoo(presidents)[-(1:4)])


2. Using only base R one can use window like this since 4 observations
is one cycle (given that the frequency of the presidents dataset is 4.

window(presidents, start = start(presidents) + 1)

or in terms of 4:

window(presidents, start = start(presidents) + 4 * deltat(presidents))

Here deltat is the time between observations so we want to start 4
deltat's later.




-- 
Statistics  Software Consulting
GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com

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Re: [R] pch size in a legend

2015-01-31 Thread Allen Bingham
Could you provide an example of trying to use pt.cex that does not do the
job?

Using pt.cex works fine for me when I've used it (R version 3.1.2 both 32
bit and 64 bit).

Here's some dummy code that demonstrates that the symbol size changes w/o
changing the text size:

   plot(x=c(0,6),y=c(0,6),type=n)
   legend(x=bottomright,title=Legend 1, symbol 2 with
pt.cex=1.25,legend=c(Item 1,Item
2),pch=c(1,1),pt.cex=c(1,1.25),col=c('black','blue'))
   legend(x=topleft,title=Legend 2, symbol 2 with
pt.cex=1.75,legend=c(Item 1,Item
2),pch=c(1,1),pt.cex=c(1,1.75),col=c('black','blue'))

see if that works for you?


__
Allen Bingham
Bingham Statistical Consulting

aebingh...@gmail.com


-Original Message-
From: Ahmed Attia [mailto:ahmedati...@gmail.com] 
Sent: Friday, January 30, 2015 1:50 PM
To: r-help
Subject: [R] pch size in a legend

Hi R users,

I would like to adjust the pch size in a legend without changing the text
size, pt.cex does not do the job. R 2.15.2 32 bit.

legend(0,2100, legend=c(2009,2010,2012,2013,2014),
col = 1,cex=1,lty=NA,pch=c(1,2,6,7,8),lwd=2,bty=n)

Thanks


Ahmed Attia, Ph.D.
Agronomist  Soil Scientist

Post-Doc Research Associate
Texas AM AgriLife Research-Vernon
ahmed.at...@ag.tamu.edu
Cell phone: 001-979-248-5215

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