This is one of those problems where the fine details matter.
1) The version of R. I optimized sprintf() for long inputs and a single
format in R 2.7.0 -- the differences are mainly for multiple inputs and
where coercion is needed. See also below.
2) The system. My home system with an
Applejus ielkhoury at gmail.com writes:
Hello,
Could someone tell me what the SPLUS is.category function do and what is
its equivalent in R?
Thank you, I couldn't find any help elsewhere...
If you Web search for splus help or similar, you will find, among others,
Dear R-users,
I have the following 2 files;
A
V1V2
A 1
A 2
A 3
A 4
B 1
B 4
C 1
C 3
D 4
B
V1V2
process1 1
process2 2
process3 3
process4 4
I want to get this output
C
V1V2 V3
A 1
What you can do is change the parameter pointsize when creating the
device. See ?pdf. It will change the size of all texts (labels, legend,
title...) at the same time. I tried it with png, it works quite well
(provided you use the latest versions of everything, including cairo, I
think).
Why does the assignment of a 3178x93 object to
another 3178x93 object remove the dimension attribute?
GT - array(dim = c(6,nrow(InData),ncol(InSNPs)))
dim(GT)
[1]6 3178 93
SNP1 - InSNPs[InData[,C1],]
dim(SNP1)
[1] 3178 93
SNP2 - InSNPs[InData[,C2],]
dim(SNP2)
[1] 3178 93
I tried to use the effect() to get predicted marginals for multinomial
logistic as I did for general logistic regression, but failed. Is there
anyway to do that?
Thx!
--
View this message in context:
say I have a categorical variable X with 3 levels coded as 1,2,3
and then I have a table of age, sex and etc, by X, which looks like the
following:
x-level1 x-level2 x-level3p-trend
age 5654 57 ?
Dear List Members,
I have encountered two problems when using the step function to
select models. To better illustrate the problems, attached is an
R image which includes the objects needed to run the code attached.
lm.data.frame have factor variables with 3 levels.
The following run shows the
Dear Bert,
a solution is the 'package'
censre3 by Hughes JP
Reference: Hughes JP: Mixed effects models with censored data with
application to HIV RNA levels. Biometrics, 55:625-629, 1999.
Giovanni
Don MacQueen ha scritto:
I assume you've looked at the NADA package(?) While I don't believe
Dear Bert,
you can also translate in nlme, as I'm trying to do, the approach of
Thiébaut and *Gadda( *Mixed models for longitudinal left-censored
repeated measures. Computer Methods and Programs in Biomedicine 74
Dear R-users,
Is there an easy way to determine all possible vectors of length 21 with
each entry having permutations from 0 to 4, instead of doing it like this?
It really takes up too much time, and I am convinced that there exists
something easier.
Can you help me? Thank you in advance!
Dear Elke,
I think you need something like this. It's only for 3 variables, but I
think you know how to expand it for more variables.
mat - expand.grid(a = 0:4, b = 0:4, c = 0:4)
write.table(mat, file=C:/Documents and Settings/My
Documents/permutations.txt,sep=;,col.names=FALSE, row.names=FALSE)
Hello.
A few weeks ago, I need to calculate the Internal Rate of Return for
irregular intervals.
There is the package 'financial', with the function 'cashflow', calculating
irr for regular intervals.
So I developed xirr, managing irregular intervals, that's accepting a vector
of dates as xirr
If I do
windows(width=6, height=5)
then the pdf plot is very good copy of what I see on screen. So the main
issue seems to be that you changed the device size when you asked for the
save. If you do that, you need to change 'pointsize' too -- but as you
changed the aspect ratio, you
Hi Elke,
the matrix you are trying to create has 5^21 = 476837158203125 rows and 21
columns. I'm afraid Thierry's proposal with n=21 will not fit into memory. And
the file you are writing is 5^21*5*8 bytes big, about 80108643 GB.
Perhaps you want to think a little more about what you are
Matthias Kohl was so kind and provided me the following lines in this issue:
library(distrEx)
chf - function(t, D){
E(D, function(x){exp(1i*t*x)}, useApply = FALSE)
}
## Normalverteilung
D - Norm()
t - seq(-3, 3, by = 0.05)
chf.norm - sapply(t, chf, D = D)
chf.exakt - exp(-t^2/2)
chf.diff -
Hi R,
Again struck with regular expressions...
Suppose,
S=c(World_is_beautiful, one_two_three_four,My_book)
I need to extract the last but one element of the strings. So, my output should
look like:
Ans=c(is,three,My)
gsub() can do this...but wondering how do I give the
try this:
S - c(World_is_beautiful, one_two_three_four,My_book)
sapply(strsplit(S, _), tail, n = 2)[1, ]
# or
sapply(strsplit(S, _), function(x) x[length(x) - 1])
I hope it helps.
Best,
Dimitris
Dimitris Rizopoulos
Biostatistical Centre
School of Public Health
Catholic University of
Anh Tran wrote:
Hi,
What's one way to convert an integer to a string with preceding 0's?
such that
'13' becomes '013'
to be put into a string
I've tried formatC, but they removes all the zeros and replace it with
blanks
Hi,
try sprintf:
i=13
cat(sprintf(%05d\n, i))
00013
HTH,
Why does the assignment of a 3178x93 object to another 3178x93 object remove
the dimension attribute? GT - array(dim = c(6,nrow(InData),ncol(InSNPs)))
dim(GT)[1] 6 3178 93 SNP1 - InSNPs[InData[,C1],] dim(SNP1)[1] 3178
93 SNP2 - InSNPs[InData[,C2],] dim(SNP2)[1] 3178 93
On Behalf Of Esmail Bonakdarian wrote:
...
What I read doesn't seem to be incorrect however (it may even
have been an archived message here), the *language* itself
does not seem to support block *comments*. Using conditional
constructs, or an IDE/editor to achieve similar results is a
work
Tony Plate wrote:
You probably should check this section in your R-help subscription
options (via https://stat.ethz.ch/mailman/options/r-help/, I think):
Receive your own posts to the list?
Tony,
Like jt I too have it set to receive my own messages, but I too
don't see them. I wonder if
Hi,
In a lattice plot like this:
win.graph()
xyplot(tmx~frequ|as.factor(as.numeric(spf)),groups=as.factor(blm),data=tmx,type=l,pch=16,xlab=frequency
(N),ylab=Area held (ha),
auto.key=list(blm,points=F,lines=T,title=Blm
factor,cex.title=0.7,cex=0.7,corner=c(1,1)),main=Mangroves
S=c(World_is_beautiful, one_two_three_four,My_book)
I need to extract the last but one element of the strings. So, my
output should look like:
Ans=c(is,three,My)
gsub() can do this...but wondering how do I give the regular
expression
sapply(strsplit(S, _), function(x)
HI
I have a data to test its normality and simulate after how with R.
thanks in advance
__
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
On May 13, 2008, at 5:52 AM, Esmail Bonakdarian wrote:
Tony Plate wrote:
You probably should check this section in your R-help subscription
options (via https://stat.ethz.ch/mailman/options/r-help/, I think):
Receive your own posts to the list?
Tony,
Like jt I too have it set to receive
Bert Gunter wrote:
What is your recommended way of dealing with a left-censored response
(non-detects) in (linear Gaussian) mixed effects models?
Specifics: Response is a numeric positive measurement (of volume,
actually);
but when it falls below some unknown and slightly random value
Charilaos Skiadas wrote:
On May 13, 2008, at 5:52 AM, Esmail Bonakdarian wrote:
Tony Plate wrote:
You probably should check this section in your R-help subscription
options (via https://stat.ethz.ch/mailman/options/r-help/, I think):
Receive your own posts to the list?
Tony,
Like jt I
Dear monogift,
effect() doesn't currently handle mulinom objects. You'll find a paper, some
functions, and some example code at
http://socserv.mcmaster.ca/jfox/Misc/polytomous-effect-displays/index.html
for effect displays for multinomial and proportional odds logit models, with
standard errors
Dear list,
I realised by chance when analysing a 1521862 × 8 matrix that plotting
was much faster when using . as the argument of `pch'. I was just
wondering if there were other ways to get this speed improvement: it is
otherwise quite difficult to explore such big matrices, especially given
that
Hi R,
A simple question, but don't know the answer...
x=a
a=5
I need to remove the object a by using only x. something like
rm(somefunction(x))...Is this possible?
Shubha Karanth | Amba Research
Ph +91 80 3980 8031 | Mob +91 94 4886 4510
Bangalore * Colombo * London * New York
How about rm(list=x)?
Richard.
Shubha Vishwanath Karanth wrote:
Hi R,
A simple question, but don't know the answer...
x=a
a=5
I need to remove the object a by using only x. something like
rm(somefunction(x))...Is this possible?
Shubha Karanth | Amba Research
Ph +91 80
In a lattice plot like this:
win.graph()
xyplot(tmx~frequ|as.factor(as.numeric(spf)),groups=as.factor(blm),
data=tmx,type=l,pch=16,xlab=frequency (N),ylab=Area held (ha),
auto.key=list(blm,points=F,lines=T,title=Blm factor,cex.title=0.7,
cex=0.7,corner=c(1,1)),main=Mangroves
a - 1
x - a
rm(list=x)
a
Error: object a not found
See ?rm for details.
Gabor
On Tue, May 13, 2008 at 05:13:41PM +0530, Shubha Vishwanath Karanth wrote:
Hi R,
A simple question, but don't know the answer...
x=a
a=5
I need to remove the object a by using only x.
On Tue, 13 May 2008, Charles Plessy wrote:
Dear list,
I realised by chance when analysing a 1521862 × 8 matrix that plotting
was much faster when using . as the argument of `pch'.
Why is that surprising? Drawing a small square is rather easy compared to
a circle, say.
I was just
R-users,
I am bootstrapping the C Index of a model created using lrm{Design}
and boot{boot}, and I get that the upperbound of the confidence
interval is greater than 1. Here is my code:
library(HSAUR)
data(plasma)
##fit model
fit.design - lrm (ESR ~ fibrinogen + globulin,data=plasma)
There is a bug in ggsave() for bitmap devices: it computes the width and
height from 'dpi', but it fails to pass that information on to the devices,
which assume 72dpi. So what it actually asked for was a
8 x 6.67 inch plot at 72dpi. 72dpi would be a better default, as not all
of the many
On Tue, May 13, 2008 at 5:02 AM, Shubha Vishwanath Karanth
[EMAIL PROTECTED] wrote:
Suppose,
S=c(World_is_beautiful, one_two_three_four,My_book)
I need to extract the last but one element of the strings. So, my output
should look like:
Ans=c(is,three,My)
gsub() can do this...but
Hi All,
I've just rebuild the latest R with the Goto BLAS on our new Intel quad core
machines. I did a few basic matrix calculations, and I was very impressed by
the performance I saw. I wonder if anyone has a more rigorous benchmarking
program for R. I downloaded a old R test/benchmarking
Hi everyone,
I am currently trying to call some C code from R, specifically calling a
function which populates a C struct.
typedef struct{
// contents
} Model;
void test(Model *m){
// fill the struct with crap
}
I compile the C code into a shared library, which loads into R properly. My
Hello,
I am currently trying to show the abundance of two species of
zooplankton within the North Sea as pie chart bubble plots. I followed
Werner Wernersen's advice in R help
(http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48644.html) and used
Paul Murrell's paper Integrating Grid Graphics
Hi,
I've two fitted models, one binomial model with presence-absence data
that predicts probability of presence and one gaussian model (normal or
log-normal abundances).
I would like to evaluate these models not on their capability of
adjustment but on their capability of prediction by
Prof Brian Ripley:
matrices, especially given that X11 redraws the plot whenever its window
is covered/uncovered by another window, or when I switch virtual
desktops.
That is a function of your X setup. R does ask for backing store to be
used, and so it seeems your setup is not doing so.
Hi Suhaila,
Is this what you want?
A= V1V2
A 1
A 2
A 3
A 4
B 1
B 4
C 1
C 3
D 4
B=V1V2
process1 1
process2 2
process3 3
process4 4
A=read.table(textConnection(A),header=TRUE)
Thanks to Gabor Grothendieck Ted Harding. both
solutions work very nicely.
--- Gabor Grothendieck [EMAIL PROTECTED]
wrote:
Try this (no gsub required):
as.chron(as.Date(xx, %b %d, %Y))
On Sat, May 10, 2008 at 12:49 PM, John Kane
[EMAIL PROTECTED] wrote:
I am cleaning up some
Hi again,
I've tried using with() inside my function in the following manner:
library(nlme)
library(MASS)
PredRes-function(D1)
{
with(D1, {lmemod-lme(distance~age*Sex, random=~1|Subject,
data=subset(D1,age!=14), method=ML)
themod-stepAIC(lmemod,dir=both)
summary(themod)
Dear R users,
I am having a problem with odfWeave: when I run
odfWeave('notes.odt', 'notes_out.odt')
I get a bunch of errors that start with Unescaped '' not allowed in
attributes values in post-processing:
snip
...
'content_1.xml' has been Sweaved
Removing content.xml
Hello,
I did this bechmark test. Perhaps is it a good oppotunity to rewrite it
and make it compatible with R 2.7.0, David?
Best,
Philippe Grosjean
..°}))
) ) ) ) )
( ( ( ( (Prof. Philippe Grosjean
) ) ) ) )
( ( ( ( (Numerical
Greg Snow wrote:
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Esmail Bonakdarian
Sent: Sunday, May 11, 2008 7:25 AM
To: Prof Brian Ripley
Cc: [EMAIL PROTECTED]
Subject: Re: [R] Random number generation
[snip]
What I read doesn't seem to be
Hi All,
I've just rebuild the latest R with the Goto BLAS on our new Intel quad core
machines. I did a few basic matrix calculations, and I was very impressed by
the performance I saw. I wonder if anyone has a more rigorous benchmarking
program for R. I downloaded a old R test/benchmarking
On Mon, May 12, 2008 at 3:31 PM, B. Bogart [EMAIL PROTECTED] wrote:
Hello all,
I've been using the following qplot command:
qplot(pixX,pixY, data=som, geom=tile, fill=rgb) +
scale_fill_identity() + opts(aspect.ratio = .75) + facet_grid(unitX ~ unitY)
Now I would like to convert it into
Esmail Bonakdarian:
you could always run your R scripts through the C preproccessor and
have it strip the block comments for you.
Too much work, call me old school, but I like the computer do work for me,
rather than the other way around
Most editors (and every editor worth using)
Hi Rusers!
I am ashed of asking such a simple question.
X-matrix(rnorm(24), 4)
X0-apply(X,2,mean)
What I want is a matrix which consists of colums such as X[,1]--X0[1].
X-X0 doesn't work.
Perhaps apply function?
Thanks in advance.
Yukihiro Ishii
2-3-28 Tsurumakiminami, Hadano, 250-0002
On 5/13/2008 7:51 AM, Nathan Harmston wrote:
Hi everyone,
I am currently trying to call some C code from R, specifically calling a
function which populates a C struct.
typedef struct{
// contents
} Model;
void test(Model *m){
// fill the struct with crap
}
I compile the C code into a
Hi Karen,
those are martingale residuals.
You don't have to be a Guru to find it out.
Did you check
?coxph
Under values it tells you
an object of class coxph. See coxph.object for details.
So you can ask for help for coxph.object
?coxph.object
and then you will see among the components:
At 00:56 09/05/2008, Ted Harding wrote:
I'd like to thank Paul Johnson and Achim Zeileis heartily
for their thorough and accurate responses to my query.
I think that the details og how to use the procedure, and
of its variants, which they have sent to the list should
be definitive -- and very
Hi,
How can plot a frequency distribution curve for the following data.
V1 V2
1 1 160.54%
2 1 201.59%
3 1 18.45%
4 1 179.03%
5 1 274.37%
6 1 0.00%
7 1 24.52%
8 1 39.17%
9 3 43.72%
10 1 53.06%
11 1 64.97%
12 1 79.84%
13 1 98.08%
14 1 115.32%
15 1 127.96%
On 5/13/2008 12:47 AM, Knut M. Wittkowski wrote:
Why does the assignment of a 3178x93 object to
another 3178x93 object remove the dimension attribute?
Your example is not reproducible. When I make one that is reproducible,
I don't see the error:
GT - array(dim = c(6,3178,93))
dim(GT)
[1]
Hello Philippe,
Thank for your reply. I agree that this is an interesting project. As I say we
have just started to buy Intel quad core machines after years of offered a
service on AMD machines. I recompiled R with the GoTo BLAS, and did some basic
tests..things like matrix cross products,
thank you very much Mr john Kane ,Mr Jorge Ivan Velez
i first do an cpa method for my LogNeperien (data hydrology ) (30years of
inflows) for 12 months to be sure that my residuals normality will be true in
order to reconstitute the 30years of the data with pca in an other way choice
of
On 5/13/2008 10:27 AM, Yukihiro Ishii wrote:
Hi Rusers!
I am ashed of asking such a simple question.
X-matrix(rnorm(24), 4)
X0-apply(X,2,mean)
What I want is a matrix which consists of colums such as X[,1]--X0[1].
X-X0 doesn't work.
Perhaps apply function?
scale(X, scale=FALSE)
?scale
?sweep
-Original Message-
From: Yukihiro Ishii [EMAIL PROTECTED]
To: r-help@r-project.org r-help@r-project.org
Sent: 5/13/08 8:30 AM
Subject: [R] A Very Simple Question
Hi Rusers!
I am ashed of asking such a simple question.
X-matrix(rnorm(24), 4)
X0-apply(X,2,mean)
What I want is a
You are using subset() as a function -- lme has a subset argument, and
subset() has non-standard semantics.
The dataset you are using is subset(D1,age!=14): it is that which you need
to make sure is visible. You didn't make D1 visible, just its columns.
On Tue, 13 May 2008, Jorunn Slagstad
On Tue, 13 May 2008, Karl Ove Hufthammer wrote:
Prof Brian Ripley:
matrices, especially given that X11 redraws the plot whenever its window
is covered/uncovered by another window, or when I switch virtual
desktops.
That is a function of your X setup. R does ask for backing store to be
The best benchmark is a calculation you really want to do. For most
people matrix algebra is an insignificant proportion of what they do in R.
A few need complex matrix arithmetic (where compilers and BLAS differ a
lot in speed). So there is no universal benchmark.
Also, the reference BLAS
Does anyone know of software to calculate confidence intervals for the
non-parametric estimate of the survival distribution when data are
interval censored, ie, for the Turnbull estimate?
Thanks, Soyeon
__
R-help@r-project.org mailing list
See
?scale
HTH,
Giovanni
Date: Tue, 13 May 2008 23:27:59 +0900
From: Yukihiro Ishii [EMAIL PROTECTED]
Sender: [EMAIL PROTECTED]
Precedence: list
DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=ybb20050223; d=ybb.ne.jp;
Hi Rusers!
I am ashed of asking such a simple question.
See
nlme::fdHess
HTH,
Giovanni
Date: Mon, 12 May 2008 18:18:57 +0100
From: Carlo Fezzi [EMAIL PROTECTED]
Sender: [EMAIL PROTECTED]
Precedence: list
Thread-index: Aci0VENEgf84jUE7T0mEusn0OTj4AA==
Dear helpers,
I am using the function constrOptim to estimate a model with ML with an
On Tue, 13 May 2008, Diego Cesar wrote:
Hello guys, i looked over the archive files and found nothing about this
kind of error.
It's a feature.
I have a database of 33 elements described in 8 variables, i'm using the
Leave-One-Out iterative process
to take one of the elements to be the test
On 13-May-08 14:25:37, Michael Dewey wrote:
At 00:56 09/05/2008, Ted Harding wrote:
I'd like to thank Paul Johnson and Achim Zeileis heartily
for their thorough and accurate responses to my query.
I think that the details og how to use the procedure, and
of its variants, which they have sent to
yes and this with other software like hydrolab(hydrology) will take big time
and it is a very urgent work .
many thanks
Jorge Ivan Velez [EMAIL PROTECTED] a écrit :
Hi Tebbi,
Does it mean that you want to simulate your PCA analysis?
Thanks,
Jorge
On Tue, May 13, 2008 at
Hello guys, i looked over the archive files and found nothing about this
kind of error.
I have a database of 33 elements described in 8 variables, i'm using the
Leave-One-Out iterative process
to take one of the elements to be the test element and make a regression
with the other 32 and then
I
Dear R users,
I was trying to do a 3d scatterplot for the following set of datas:
obj time X Y
1 yellow 333 388.7 492.3
2 yellow 567 388.7 492.3
3 green 621 135.5 371.7
4 green 1039 135.5 371.7
5 red 1373 744.1 205.0
6 red 1763 744.1 205.0
The points should be drew
Aleksey,
I am using the current version of odfWeave (0.7.5). The thing is, the file
processed just fine in a previous version (0.7.3). Does anyone have any
suggestion how to deal with this? I am now kind of locked since I cannot
reproduce a report I was working on...
What version of the
I have an ARCH model like this:
Delta y = y_{t+1} - t_t =
k (theta - y_t) Delta t + v_t N(0,1) sqrt(Delta t)
where
v_t^2 = a_0 + a_1 (y_{t-1} - E[y_{t-1}])^2
Is there any R function that, given a series y_i, determines
k, theta, a_0 and a_1 by maximum likelihood?
I tried to use garch from
-Original Message-
From: Esmail Bonakdarian [mailto:[EMAIL PROTECTED]
Sent: Tuesday, May 13, 2008 8:13 AM
To: Greg Snow
Cc: Prof Brian Ripley; [EMAIL PROTECTED]
Subject: Re: [R] Random number generation
Greg Snow wrote:
-Original Message-
[snip]
you could always run
On 5/13/2008 1:38 PM, Greg Snow wrote:
-Original Message-
From: Esmail Bonakdarian [mailto:[EMAIL PROTECTED]
Sent: Tuesday, May 13, 2008 8:13 AM
To: Greg Snow
Cc: Prof Brian Ripley; [EMAIL PROTECTED]
Subject: Re: [R] Random number generation
Greg Snow wrote:
-Original Message-
Using just base graphics you can use the floating.pie function from the plotrix
package, or the my.symbols function from the TeachingDemos package with your
own symbol/plotting function. Pie charts are usually not very useful, there
may be another type of symbol (see the symbols function) or
Please advise the proper format for coding the random effects of a
split-plot experiment WITH repeated measures. I have been unable to
figure out how to use either lme or lmer's grouping to properly
assign the error terms. I am measuring univariate responses.
Here is the set-up:
WP - whole plot
Moreno Ignazio Coco M.I.Coco at sms.ed.ac.uk writes:
I was trying to do a 3d scatterplot for the following set of datas:
obj time X Y
1 yellow 333 388.7 492.3
2 yellow 567 388.7 492.3
3 green 621 135.5 371.7
4 green 1039 135.5 371.7
5 red 1373 744.1 205.0
6 red
FYI,
there is also smoothScatter() in the 'geneplotter' package (part of
the Bioconductor.org project).
/Henrik
On Tue, May 13, 2008 at 5:08 AM, Prof Brian Ripley
[EMAIL PROTECTED] wrote:
On Tue, 13 May 2008, Charles Plessy wrote:
Dear list,
I realised by chance when analysing a
Hi List,
I was wondering if there is a package in R that uses the DIRICHLET model for
panel data like in Goodhart, Ehrenberg, Chatfield 1984. The model uses a
combination of distributions and is specifically designed for marketing panel
data, using input data such as penetration, brand
On Tue, May 13, 2008 at 1:40 PM, James Hudson [EMAIL PROTECTED] wrote:
Please advise the proper format for coding the random effects of a
split-plot experiment WITH repeated measures. I have been unable to
figure out how to use either lme or lmer's grouping to properly
assign the error terms.
DAVID ARTETA GARCIA wrote:
R-users,
I am bootstrapping the C Index of a model created using lrm{Design} and
boot{boot}, and I get that the upperbound of the confidence interval is
greater than 1. Here is my code:
library(HSAUR)
data(plasma)
##fit model
fit.design - lrm (ESR ~ fibrinogen
Thanks very much for your long, detailed, patient, and lucid
response to my cri de coeur. That helps a *great* deal.
I'm not sure that I have a solid understanding of the issues yet
--- I never am! --- but I think I'm getting there. I'll need to
chew over the posting a bit more and try some
Hi all R helpers,
I'm trying to comeup with nice and elegant way of detecting consecutive
increases/decreases in the sequence of numbers. I'm trying with combination
of which() and diff() functions but unsuccesifuly.
For example:
sq - c(1, 2, 3, 4, 4, 4, 5, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1);
I'd
rle(diff(sq)) could be helpful here,
best, Ingmar
On May 13, 2008, at 11:19 PM, Marko Milicic wrote:
Hi all R helpers,
I'm trying to comeup with nice and elegant way of detecting
consecutive
increases/decreases in the sequence of numbers. I'm trying with
combination
of which() and diff()
Hi Everybody,
Suppose I have a *txt file*, named proof wich I have read it previously
using the function *read.table( ). *And suppose I have an algorithm wich
requires to load this file proof using the function *data ( ) *
My problem is the following: how to store the file proof in *.Rdata*
Hi,
I would like to iterate over a dataframe and plot several graphs over
several pages. For instance, an iteration over the dataframe will result in
20 plots. Since 20 plots in one page is too much (too many small plots) I
would like to distribute them over 5 pages with each 4 plots.
I know
Dear List,
Does anybody have R code about Iterative Convex Minorant algorithm for Cox
model with interval censored data and be willing to share? The R package
intcox works well in simulation, while it has converge problem in a data
analysis. Any information are highly appreciated.
Thanks,
Rui
Hello,
When calling several times the svm() function, I get different results.
Do I miss something, or is there some random generation in the C library?
In this second hypothesis, is it possible to fix an eventual seed?
Thank you
Pierre
### Example
library('e1071')
x = rnorm(100) # train set
Hi Gabor,
Thank you for your help, and thanks for making the excellent igraph
package. The function below seems not generate an edge list that works
for my data. I coerced a my data from a data frame using
graph.data.frame.
You asked in your previous post if 2-mode networks are bipartite. I
Hi Rolf,
On Tue, May 13, 2008 at 1:59 PM, Rolf Turner [EMAIL PROTECTED] wrote:
in response to Doug Bates' useful tutorial...
Thanks very much for your long, detailed, patient, and lucid
response to my cri de coeur. That helps a *great* deal.
Hear Hear!
snip
One point that I'd like to
I just have read the guide and I can do some small steps with cran but
I still have no clue...
I have data like this:
X1 X2 X3 ... X21 Y
1 0 0 0 ... 18 -0,07254
2 1 0 0 ... 6 -0,14921
3 0
hello, useRs~
suppose i have a matrix as follows:
itemcategory sub-category
A 1 11
B 1 12
C 1 12
D 2 21
E 2 22
i like to draw a plot that
Just keep plotting them. You will get additional pages after every four
plots. Now I know this is true when using PDF as the output device.
On Tue, May 13, 2008 at 5:56 PM, Dirkheld [EMAIL PROTECTED]
wrote:
Hi,
I would like to iterate over a dataframe and plot several graphs over
several
Hi Thomas,
Perhaps:
test = read.table(test.dat, header=T, dec=',')
x - test[,1:21]
y - test[, Y]
mymodel - lm(y ~ x)
# Coefficients and more information
summary(mymodel)
# Plots for the residuals
plotspar(mfrow=c(2,2))
plot(mymodel)
See also ?lm
HTH,
Jorge
On Tue, May 13, 2008
Does something like this do it for you:
x - read.table(textConnection( V1 V2
1 1 160.54%
2 1 201.59%
3 1 18.45%
4 1 179.03%
5 1 274.37%
6 1 0.00%
7 1 24.52%
8 1 39.17%
9 3 43.72%
10 1 53.06%
11 1 64.97%
12 1 79.84%
13 1 98.08%
14 1 115.32%
15 1 127.96%
16
Dear members,
I want to create 8 graphs and write it into one page using mfrow=c(4,2).
How to make all graphs (including the titles, legends, line types) to be
scale down (resized proportionally).
As an illustration, below is the code:
pdf(testmfrow.pdf)
par(mfrow=c(4,2))
x-seq(1:10)
I have written a function which reads data from files using read.delim
().
The names of these files are complicated and are built using arguments
to the wrapper function. Since the files in question may or may not
exist, I thought to enclose the read.delim() call in a try():
file -
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