Re: [R] Lattice cloud() funtion bug in R1.8.0beta

2003-10-09 Thread Uwe Ligges
Mark Marques wrote:

   Cloud() function does not display anything with R1.8.0beta
   in WindowsXP ...
   Does any one noticed this ?
No. Works in the latest beta on my machine.

   others functions from lattice seem working properly.
   does it work in the final 1.8.0 for windows ?
Yes.

Uwe Ligges

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Re: [R] Scoping rules

2003-10-09 Thread Prof Brian Ripley
On Wed, 8 Oct 2003, Roger D. Peng wrote:

 I think I misinterpreted this section of the help file for get():
 
   If `inherits' is `FALSE', only the first frame of the specified
   environment is inspected.  If `inherits' is `TRUE', the search is
   continued up through the parent frames until a bound value of the
   right mode is found.
 
 Should this read parent environments instead of parent frames?  I'm 
 taking this from R 1.7.1.

It should read `enclosing' not `parent' for a start.

Thanks: we will try to get this consistent.

 
 -roger
 
 Prof Brian Ripley wrote:
 
  On Wed, 8 Oct 2003, Roger D. Peng wrote:
  
  
 It seems like you want in fnB
 
 get(AA$first, envir = parent.frame(1))
 
 but I'm entirely clear on why your original function doesn't work.  My 
 understanding was that get() should search through the parent frames.
  
  
  Where did you get that idea from?  Argument `inherits' to get() defaults
  to TRUE and is defined as
  
  inherits: should the enclosing frames of the environment be inspected?
  
  Note `enclosing', not `parent'.  So the normal R scope rules apply when
  looking for an object from the frame of fnB, which as its environment (aka
  enclosing frame) is the workspace (.GlobalEnv) is to look in the local
  frame and then along the search path.
  
  [This does seem a fairly common misconception, so if you do have any idea 
  in which document it arises it would be good to know.]
  
  
 Peter Alspach wrote:
 
 Dear List members:
 
 I'm using R1.7.1 (Windows 2000) and having difficulty with scoping. 
 I've studied the FAQ and on-line manuals and think I have identified
 the
 source of my difficulty, but cannot work out the solution.
 
 For the purposes of illustration.  I have three functions as defined
 below:
 
 fnA - function(my.x)
 {
   list(first=as.character(substitute(my.x)), second=sqrt(my.x))
 }
 
 fnB - function(AA)
 {
   tmp.x - get(AA$first)
   tmp.x^2
 }
 
 fnC - function()
 {
   x - 1:2
   y - fnA(x)
   z - fnB(y)
   c(x,y,z)
 }
 
 fnA() has a vector as an argument and returns the name of the vector
 and the square root of its elements in a list.  fn(B) takes the result
 of fn(A) as its argument, gets the appropriate vector and computes the
 square of its elements.  These work fine when called at the command
 line.
 
 fnC() defines a local vector x and calls fnA() which operates on this
 vector.  Then fnB() is called, but it operates on a global vector x in
 GlobalEnv (or returns an error is x doesn't exist there) - but I want
 it
 to operate on the local vector.
  
  
  I am not sure what you really want to do here, but R works best if you 
  pass functions an object to work on, and not the name of an object.
  Normally this sort of thing is best avoided, but if it is really needed it 
  is normally simpler to find the object in the calling function (your fnC).
  
  
 I think this is related to the enclosing environment of all three
 functions being GlobalEnv (since they were created at the command
 line),
 but the parent environment of fnB() being different when invoked from
 within fnC().
 
 My questions:
 
 1  Have I correctly understood the issue ?
 2  How do I make fnB() operate on the local vector rather than the
 global one ?
 3  And, as an aside, I have used as.character(substitute(my.x)) to
 pass
 the name - but deparse(substitute(my.x)) also works.  Is there any
 reason to prefer one over the other?
  
  
  deparse() is preferred.  One subtle reason is what happens with very long 
  expressions (and note deparse may give more than one line of output), 
  but the main reason is what happens with expressions such as calls:
  
  
 fn1 - function(x) as.character(substitute(x))
 fn2 - function(x) deparse(substitute(x))
 fn1(log(x))
  
  [1] log x  
  
 fn2(log(x))
  
  [1] log(x)
  
  
  It is normally dangerous to use get() on the result of 
  deparse(substitute()), as the latter may be the character representation 
  of an expression and not a simple name.
  
 
 

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
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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RE: [R] 2 questions regarding base-n and identifing digits + the source problem description

2003-10-09 Thread Andrej Kveder
Thanks for the suggestions..

The strsplit function works great for the second question...
I will have to come up with another solution to the first one, since my
problem would definetly involve a lot of calculations and I think that
current methods would cause major computational congestion...
BUt here is the outline of my problem... if anybody has an idea...
 In practice I start with 4 possible correlations: -0.9, -0.1, 0.1, 0.9 and
want to construct all possible 3x3 correaltion matrices with those values.
So I need to do all possible permutations of a given length with
replication. I have a set of 4 distinct values and want to create the
permutations of length 3.
My idea was as folows: specifing the sequence in base-4 form 0 to 333 would
account for all possible combinations.
I checked some of the existing functions which were either recursive and
slow or without replication. I think there was a thread on the list just a
short while ago.
If anybody has a hint to follow, i would be more then glad to try it out...

Thanks again

Andrej

_
Andrej Kveder, M.A.
researcher
Institute of Medical Sciences SRS SASA; Novi trg 2, SI-1000 Ljubljana,
Slovenia
phone: +386 1 47 06 440   fax: +386 1 42 61 493

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[R] SuSE rpms for R-1.8.0 available

2003-10-09 Thread Detlef Steuer
Rpms for R-base and all R-contrib packages (that compile on my machines) have been 
uploaded to CRAN.

For the time beeing SuSE 7.3, 8.[012] are supported. 9.0 rpms will be created asap. 

This is the last build for 7.3.

Have fun,
dst

-- 
The whole problem with the world is that fools and fanatics are always
 so certain of themselves, but wiser people so full of doubts. Russell

Detlef Steuer --- http://fawn.unibw-hamburg.de/steuer.html
* Encrypted mail preferred *

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Re: [R] Previous Commands

2003-10-09 Thread Peter Dalgaard BSA
Philippe Glaziou [EMAIL PROTECTED] writes:

 Rau, Roland [EMAIL PROTECTED] wrote:
  yesterday I took the R-1.8.0-source file and compiled it on my
  own. As I am using Linux just for a couple of weeks, it was my
  first compiling session with ./configure, make, 
  Everything went fine, except for one thing: if I want to look
  at the commands history by using the cursor keys, it does not
  work. Instead of displaying the previous commands, it returns
  something like [[A.  Is this a common problem?  Does anyone
  have a solution?
 
 
 You may need to install the ncurses dev libraries.

and/or readline-devel

-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907

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Re: [R] Previous Commands

2003-10-09 Thread Prof Brian Ripley
On Thu, 9 Oct 2003, Philippe Glaziou wrote:

 Rau, Roland [EMAIL PROTECTED] wrote:
  yesterday I took the R-1.8.0-source file and compiled it on my
  own. As I am using Linux just for a couple of weeks, it was my
  first compiling session with ./configure, make, 
  Everything went fine, except for one thing: if I want to look
  at the commands history by using the cursor keys, it does not
  work. Instead of displaying the previous commands, it returns
  something like [[A.  Is this a common problem?  Does anyone
  have a solution?
 
 
 You may need to install the ncurses dev libraries.

More likely it is the readline-del[ev] RPMs/.debs/ that you need.
Take a look at the R-admin manual (e.g. doc/html/R-admin.html in the 
sources).  

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
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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Re: [R] Previous Commands

2003-10-09 Thread Philippe Glaziou
Philippe Glaziou [EMAIL PROTECTED] wrote:
 Rau, Roland [EMAIL PROTECTED] wrote:
  yesterday I took the R-1.8.0-source file and compiled it on my
  own. As I am using Linux just for a couple of weeks, it was my
  first compiling session with ./configure, make, 
  Everything went fine, except for one thing: if I want to look
  at the commands history by using the cursor keys, it does not
  work. Instead of displaying the previous commands, it returns
  something like [[A.  Is this a common problem?  Does anyone
  have a solution?
 
 
 You may need to install the ncurses dev libraries.

oops, sorry, I meant readline. And then re-configure.

-- 
Philippe

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[R] Correlations

2003-10-09 Thread Bobbie van der Westhuizen
Hi I am trying out R for the first time and it seems to work nice.

I also try it out on a LINUX platform aswell as on Windows. I downloaded the 
new version of R for windows (version 8.1.0) but something look not right in 
the calculations of correlations between traits when I use the next command:

cor(fc,use=pairwise)

The correlation return between the same trait (that must be 1.000) is not 1 
and sometimes it is 0.37?? When I run the same scrip with the same data in 
Linux the correlation is correctly, 1.000. And when I run the following scrip 
in 1.8.0 for windows it returns the correct correlation of 1.000.

cor.test(BIRHTMASS,BIRHTMASS,na.rm=T,method=pearson)

Could there be a bug in this version of Windows?

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[R] simulate binary data from a logistic regression model

2003-10-09 Thread Michele Grassi
Hi.
How can i simulate a binary data set from a logistic 
regression model?I need to manipulate parameters and so 
obtain my set of data.
I want to show the improve in analyzing binary data 
with GLM(binomial) model instead of classical ANOVA or 
NON-MODELS procedures(relative risk-odds ratio-Pearson 
test of godness of fit...)
Can you say me what is the right function to use?
Do you know any interesting simulation in the web?

Thank you.
Michele.

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RE: is.na(v)-b (was: Re: [R] Beginner's query - segmentation fault)

2003-10-09 Thread Simon Fear

 -Original Message-
 From: Richard A. O'Keefe [mailto:[EMAIL PROTECTED]
snip

 The very existence of an is.na- which accepts  a logical
 vector containing FALSE as well as TRUE ...

And don't forget this is not the only usage of is.na-. In fact it is 
designed to take any valid indexing value. For example:

 a-1:10
 is.na(a) - 1:5
 a
 [1] NA NA NA NA NA  6  7  8  9 10

Wow. I really hate that. Someone tell me again why this is
better than a[1:5] - NA ??
 

Simon Fear
Senior Statistician
Syne qua non Ltd
Tel: +44 (0) 1379 69
Fax: +44 (0) 1379 65
email: [EMAIL PROTECTED]
web: http://www.synequanon.com
 
Number of attachments included with this message: 0
 
This message (and any associated files) is confidential and\...{{dropped}}

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[R] Exact logistic regression models

2003-10-09 Thread Andrew Criswell
Hello All:

Is there such a function in the R libraries: exact logistic regression?

Thanks,
ANDREW

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[R] Source package installation for WinXPpro

2003-10-09 Thread Phguardiol
Hi
I d like to compile the source code from last Affy package for WinXPpro under 
R18beta
however the doc is pretty poor regarding this process...
I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and 
downloaded in The essentials, tools and Perl 5.8.0, then MingW from www.mingw.org and 
I wonder if I need any other stuff from this page ? I m not sure but I dont 
think I need the cross-conpilers ? what about the others below ? Then I 
installed MingW and Perl.
Then what am i suposed to do?
If I click on Rcmd I dont get any windows to open or just for a second...
thanks for your help
Philippe

[[alternative HTML version deleted]]

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Re: [R] polygon border

2003-10-09 Thread Clément Calenge
see ?chull

hope this helps,

Clément.

At 12:34 09/10/2003 +0200, Marta Rufino wrote:
Hello,

Does anyone know how a function to find automaticly the border (polygon) 
of a cloud of points?
It is for a PCA kind of analysis, where I wanted to present as the limits 
for each group, instead of all points...

thank you in advance
Marta
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[R] lattice/levelplot: panels with values can be empty

2003-10-09 Thread Wolfram Fischer
I tried:
library(lattice)

F0  - c( 'A', 'A', 'B', 'B' )
F1  - c(  1 ,  1 ,  1 ,  2 )
F2  - c(  8 ,  9 ,  8 ,  9 )
VAL - c(  20,  50,  10,  60 )
df - data.frame( F0, F1, F2, VAL )

levelplot( VAL ~ F1 * F2 | F0, data=df )

I got an empty field for F0 == 'A'
and a colored field for F0 == 'B'.
I expected two colored fields. - What can I do?

Thanks. Wolfram

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Re: [R] Source package installation for WinXPpro

2003-10-09 Thread Uwe Ligges
[Please do not cross-post to several mailing lists]



[EMAIL PROTECTED] wrote:

 Hi
 I d like to compile the source code from last Affy package for 
WinXPpro under
 R18beta
 however the doc is pretty poor regarding this process...

...\gnuwin32\readme.packages and ...\gnuwin32\install do provide a great 
description.

 I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and
 downloaded in The essentials, tools and Perl 5.8.0, then MingW from 
www.mingw.org and
 I wonder if I need any other stuff from this page ?

Please read the files mentioned above and follow the instructions given 
therein exactly.

 I m not sure but I dont
 think I need the cross-conpilers ?
No, given you are not going to cross-compile ...

 what about the others below ? Then I
 installed MingW and Perl.
 Then what am i suposed to do?
 If I click on Rcmd I dont get any windows to open or just for a second...
Rcmd is supposed to be used within the windows shell.

Uwe Ligges

 thanks for your help
 Philippe

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[R] robust regression and poisson errors

2003-10-09 Thread Carlos Sperber
We have done a multiple regression (glm) with non-orthogonal design and two 
correlated explanatory variables, and poisson errors, because the response 
variable is a count (number of species). The parameter estimates calculated 
were opposite to the tendency observed in the plot. As we excluded the most 
influencial point, the results changed radically, but as we took the second 
influential point the results changed again, to a third form.
Thefore I tried to use robust regression, with rlm. My questions are:
1 - how do I get the test of bias of the robust regression? In the S-Plus 
guide (p. 338), it is said that this test should be used to choose between 
the robust regression and the other one. Is this correct?
2 - when I run an anova, comparing the complete rlm model to a more simple 
model, I get no values for F nor P. How do I get these?
3 - may I use robust regression for count response variables, taking the 
log of the data?

Thank you all!

Carlos Sperber, Carla Galbiati  Carla Ribas

Carlos Frankl Sperber
Ecology - Orthoptera: Grylloidea
Departamento de Biologia Geral
Universidade Federal de Viçosa
3.570-000 - Viçosa - MG
Brazil
tel: +55 (31) 3899 2556
fax: +55 (31) 3899 2549
E-mail: [EMAIL PROTECTED]


---



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[R] robust standard error

2003-10-09 Thread daniele\.frison
How can I do a 
Multiple Linear Regression Models
 with robust standard error?
Thank in advance.
D.F.



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R: [R] simulate binary data from a logistic regression model

2003-10-09 Thread Vito Muggeo
You can use the followings:

lp- -5+. #linear predictor
y-rbinom(length(lp), size, plogis(lp))

Note that size means your denominator in proportions to be simulated. For
instance, if you want binary data use size=1.


best,
vito



- Original Message -
From: Michele Grassi [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Thursday, October 09, 2003 11:38 AM
Subject: [R] simulate binary data from a logistic regression model


 Hi.
 How can i simulate a binary data set from a logistic
 regression model?I need to manipulate parameters and so
 obtain my set of data.
 I want to show the improve in analyzing binary data
 with GLM(binomial) model instead of classical ANOVA or
 NON-MODELS procedures(relative risk-odds ratio-Pearson
 test of godness of fit...)
 Can you say me what is the right function to use?
 Do you know any interesting simulation in the web?

 Thank you.
 Michele.

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Re: [R] Source package installation for WinXPpro

2003-10-09 Thread Prof Brian Ripley
On Thu, 9 Oct 2003 [EMAIL PROTECTED] wrote:

 Hi
 I d like to compile the source code from last Affy package for WinXPpro under 
 R18beta
 however the doc is pretty poor regarding this process...

Or possibly you have failed to find the documentation.

 I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and 
 downloaded in The essentials, tools and Perl 5.8.0, then MingW from www.mingw.org 
 and 
 I wonder if I need any other stuff from this page ? I m not sure but I dont 
 think I need the cross-conpilers ? what about the others below ? Then I 
 installed MingW and Perl.
 Then what am i suposed to do?

Read the documentation, starting with file readme.packages in the R 
distribution.

 If I click on Rcmd I dont get any windows to open or just for a second...

And where in the documentation does it tell you to do that?

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
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] [R-pkgs] new package: segmented

2003-10-09 Thread Vito Muggeo
A few days ago I uploaded to CRAN a new package called segmented.

The package contains functions to fit (generalized) linear models with
`segmented' (or `broken-line' or `piecewise linear') relationships between
the response and one or more explanatory variables according to methodology
described in

Muggeo VMR (2003), Estimating regression models with unknown break-points,
Statistics in Medicine, 22, 3055-3071.

I would be very grateful for comments and suggestions,

best,
vito

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Re: [R] run R under unix

2003-10-09 Thread michaell taylor
One can run R 'txt', script files thusly:

1. create the txt file (foo.txt) script.
2. at a command prompt type :
R --vanilla  foo.txt  foo.results

The file 'foo.results' will now have all the output that you normally
would see on the screen.  This is actually quite useful in that you can
move around freely within foo.results (using some sort of text editor) -
unlike results written to a screen.

This will only run while you are logged into the machine, however.  The
best way to run a script without having to be logged in is through a
batch processor. Indeed, for jobs running for days - your system
administrator will be thrilled that it runs on the batch processor
instead of interactively.  The method for doing this depends on your
particular unix machine configuration, but a common method flow like
this:

1. Place the line:

R --vanilla  foo.txt  foo.results

into a file named foo.batch.  No other text should be in the file. Make
this file executable via

 chmod 755 foo.batch

Then at the command line:

 at -f foo.batch now

or perhaps,
 batch -f foo.batch

If this does not work, ask your system administrator how to set up a
batch process.

The advantage of the batch process is 1) you need not be logged in, 2)
your job will take a lower priority than interactive jobs.

Michaell

On Thu, 2003-10-09 at 01:52, Jason Turner wrote:
 Zhen Pang wrote:
 ...
  I now want to run the code under unix. However, I do not know how to run 
  this code in txt file under unix. I just log in to the unix and enter 
  the R, what should I do next?
  
  One more question is: if I log off my computer when R is running under 
  unix (i.e., disconnect my computer from server), will I get the result 
  when I log in my computer next time?
 ...
 
 You'll lose it if you run R in the normal, interactive way.  Running it 
 in the background will allow you to log out and still have it running, but!
 
 1) If you're not the only person using this machine, you learn the 
 command nice before you begin.
 2) I'm not certain you'll be able to produce jpeg or png graphics when 
 backgrounded; your backgrounded task needs access to the windowing 
 system for graphics rendering, and local security policy might prohibit 
 this.
 3) Save early, save often.  You probably already know that, but it bears 
 repeating.
 
 Here are some suggested steps to run your simulation in background mode. 
   Unfortunately, the exact commands will depend on which version of Unix 
 you're using, and what command shells are available.  Consult your local 
 expert.
 
 1) transfer the text file of commands to the unix machine.  FTP, using 
 ASCII mode is safest.
 2) log onto the Unix machine.
 3) run sh, ksh, or bash.  (the syntax for what follows is different for 
 the C shell, and I don't know it).
 4) using a stripped-down version of your script which will complete in a 
 short time (say, a minute or two), just to check that things work, type
 
 nohup nice 15 R  my.small.script my.output 21 
 
 (again, learn what nice means before you use it.  This may not be 
 suitable, and it's impossible for me to tell from here if it is).
 
 I know that's not the full answer, but only someone who knows the local 
 setup can give you that answer.
 
 Cheers
 
 Jason
 -- 
 Indigo Industrial Controls Ltd.
 http://www.indigoindustrial.co.nz
 64-21-343-545
 [EMAIL PROTECTED]
 
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Re: [R] Source package installation for WinXPpro

2003-10-09 Thread James MacDonald
You need to make sure that all the tools are in your path, with the R
tools before perl and mingw. Set this by right clicking My Computer,
then properties, advanced, environment variables, then edit the path in
the system variables window. Once you have done that, you should be able
to download the sources (put them in a folder where the path doesn't
contain spaces. In addition, it is best if R is in a path that doesn't
contain spaces (so C:\Program Files\Rw1080 is not ideal. I usually
install in C:\Rw1080, but do what you like.)

Next, open a command prompt. Start menu, run, type cmd, enter. Then cd
to the folder where the affy.tar.gz resides and type 'tar xvfz affy*gz'
without the quotes. After everything is untarred and unzipped, cd to
Rw1080\bin and type 'rcmd install path to affy folder'. Windows is
case insensitive (mostly), so you don't need to capitalize. You should
then see a bunch of stuff happening, hopefully none of which contains an
error message.

If something doesn't work, re-read Brian Ripley's page on compiling. You
can also get good information by downloading the R-1.8.1 tarball and
looking for the readme-packages file.

HTH,

Jim




James W. MacDonald
Affymetrix and cDNA Microarray Core
University of Michigan Cancer Center
1500 E. Medical Center Drive
7410 CCGC
Ann Arbor MI 48109
734-647-5623
 [EMAIL PROTECTED] 10/09/03 06:53 AM 
Hi
I d like to compile the source code from last Affy package for WinXPpro
under 
R18beta
however the doc is pretty poor regarding this process...
I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and 
downloaded in The essentials, tools and Perl 5.8.0, then MingW from
www.mingw.org and 
I wonder if I need any other stuff from this page ? I m not sure but I
dont 
think I need the cross-conpilers ? what about the others below ? Then I 
installed MingW and Perl.
Then what am i suposed to do?
If I click on Rcmd I dont get any windows to open or just for a
second...
thanks for your help
Philippe

[[alternative HTML version deleted]]

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Under dispersion; Was: [R] binomial glm warnings revisited

2003-10-09 Thread Tord Snall
Dear all,


 I have this problem with my data. In a GLM, I have 269 zeroes and
 only 1 one:


During profiling, you may be pushing one of the parameter near the
extremes and get a model where the fitted p's are very close to 0/1.

I just want to clarify that the warning was given already when I fitted the
glm():

 dbh- glm(MPext ~ dbh, maxit = 100, family = binomial, data = valkdat)
Warning message: 
fitted probabilities numerically 0 or 1 occurred in: (if (

(As you can see I had to increase maxit for th algorithm to converge.)

A summary:
summary(dbh)
Coefficients:
Estimate Std. Error z value Pr(|z|)
(Intercept)   0.1659 3.8781   0.0430.966
dbh  -0.5872 0.5320  -1.1040.270
Null deviance: 13.1931  on 269  degrees of freedom
Residual deviance:  9.9168  on 268  degrees of freedom
AIC: 13.917

 drop1(dbh, test = Chisq)
   Df Deviance AIC LRT Pr(Chi)  
none  9.9168 13.9168  
dbh 1  13.1931 15.1931  3.2763 0.07029 .

And then CI:
confint(dbh)
Waiting for profiling to be done...
2.5 %  97.5 %
(Intercept) -6.458119 10.12380773
dbh -2.253015 -0.05047997
There were 17 warnings (use warnings() to see them)

BUT, note the under dispersion. I GUESS it is because I have surveyed a
moss on marked trees at three occations (with two years in between). The
response 1 means that the moss has disappeared, and dbh is tree diameter.
(This corresponds to revisitng patients who has a disease, and whose weight
is unchanged between the visits. H0: weight does not affect tha chance of
recovery from the disease)

Here is a version with quasibinomial:

 dbh- glm(MPext ~ dbh, maxit = 100, family = quasibinomial, data =
valkdat)

Note, no warning.

 summary(dbh)
Estimate Std. Error t value Pr(|t|)  
(Intercept)   0.1659 1.7179   0.097   0.9231  
dbh  -0.5872 0.2357  -2.491   0.0133 *
(Dispersion parameter for quasibinomial family taken to be 0.1962275)
Null deviance: 13.1931  on 269  degrees of freedom
Residual deviance:  9.9168  on 268  degrees of freedom
AIC: NA
Number of Fisher Scoring iterations: 11

 confint(dbh)
Waiting for profiling to be done...
2.5 % 97.5 %
(Intercept) -2.970644  3.9019555
dbh -1.158646 -0.2131936

 drop1(dbh, test = Chisq)
   Df Deviance scaled dev.   Pr(Chi)
none  9.9168  
dbh 1  13.1931 16.6966 4.386e-05 ***

Note, no warning.

I guess that this quasibinomial model is more reliable than the binomial.
Now I can trust the SE of the Estim. too, can't I? 

(Under dispersion has not been discussed on the list except for a reply by
Prof. Ripley on a Poisson model question.)


That's not necessarily a sign of unreliability -- the procedure is to
set one parameter to a sequence of fixed values and optimize over the
other, and it might just be the case that the optimizations have been
wandering a bit far from the optimum. (I'd actually be more suspicious
about the fact that the name of the predictor suddenly changed)

:D 


However, if you have only one 1 you are effectively asking whether
one observation has a different mean than the other 269, and you have
to consider the sensitivity to the distribution of the predictor. As
far as I can see, you end up with the test of the null hypothesis
beta==0 being essentially equivalent to a two sample t test between
the mean of the 0 group and that of the 1 group, so with only one
observation in one of the groups, the normal approximation of the test
hinges quite strongly on a normal distribution of the predictor
itself.

Thanks for this interesting point of view.


Sincerely,
Tord


-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907


---
Tord Snäll
Avd. f växtekologi, Evolutionsbiologiskt centrum, Uppsala universitet
Dept. of Plant Ecology, Evolutionary Biology Centre, Uppsala University
Villavägen 14   
SE-752 36 Uppsala, Sweden
Tel: 018-471 28 82 (int +46 18 471 28 82) (work)
Tel: 018-25 71 33 (int +46 18 25 71 33) (home)
Fax: 018-55 34 19 (int +46 18 55 34 19) (work)
E-mail: [EMAIL PROTECTED]
Check this: http://www.vaxtbio.uu.se/resfold/snall.htm!

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Re: [R] simulate binary data from a logistic regression model

2003-10-09 Thread kjetil
On 9 Oct 2003 at 11:38, Michele Grassi wrote:

Here is one way of doing it:

 x - rnorm(1000)
 beta - 1
 p - 1/(1+exp(-beta*x))
 o - order(x)
 plot( x[o], p[o], ylim=c(0,1), type=l)
 y - rbinom(1000, 1, prob=p)
 model - glm(y ~ x , family=binomial)
 summary(model)
.
.
.

 B - 1000 # number of simulation replications
 coefs - matrix(0, B, 2)
 for (i in 1:B) {
+coefs[i, ] - coef(glm(rbinom(1000,1,prob=p) ~ x, 
family=binomial))
+ }
 hist( coefs[,1])
 hist(coefs[,2])
 plot(coefs)



Kjetil Halvorsen

Hi.
How can i simulate a binary data set from a logistic 
regression model?I need to manipulate parameters and so 
obtain my set of data.
I want to show the improve in analyzing binary data 
with GLM(binomial) model instead of classical ANOVA or 
NON-MODELS procedures(relative risk-odds ratio-Pearson 
test of godness of fit...)
Can you say me what is the right function to use?
Do you know any interesting simulation in the web?

Thank you.
Michele.

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Re: [R] Correlations

2003-10-09 Thread Prof Brian Ripley
On Thu, 9 Oct 2003, Bobbie van der Westhuizen wrote:

 Hi I am trying out R for the first time and it seems to work nice.
 
 I also try it out on a LINUX platform aswell as on Windows. I downloaded the 
 new version of R for windows (version 8.1.0) but something look not right in 
 the calculations of correlations between traits when I use the next command:
 
 cor(fc,use=pairwise)
 
 The correlation return between the same trait (that must be 1.000) is not 1 
 and sometimes it is 0.37?? When I run the same scrip with the same data in 
 Linux the correlation is correctly, 1.000. And when I run the following scrip 
 in 1.8.0 for windows it returns the correct correlation of 1.000.
 
 cor.test(BIRHTMASS,BIRHTMASS,na.rm=T,method=pearson)
 
 Could there be a bug in this version of Windows?

Given that R 1.8.0 (sic) for Windows is not yet on CRAN, there is at least
a bug in your description, and undoubtedly there are bugs in Windows.

If you want to discuss a bug in R, please consult the FAQ and provide 
proper version information and a reproducible example.

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
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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Re: Under dispersion; Was: [R] binomial glm warnings revisited

2003-10-09 Thread Peter Dalgaard BSA
Tord Snall [EMAIL PROTECTED] writes:

 Null deviance: 13.1931  on 269  degrees of freedom
 Residual deviance:  9.9168  on 268  degrees of freedom
 AIC: 13.917
...

 BUT, note the under dispersion. I GUESS it is because I have surveyed a
 moss on marked trees at three occations (with two years in between). The
 response 1 means that the moss has disappeared, and dbh is tree diameter.
 (This corresponds to revisitng patients who has a disease, and whose weight
 is unchanged between the visits. H0: weight does not affect tha chance of
 recovery from the disease)

Don't trust deviances as measures of dispersion with binary data! 

 Here is a version with quasibinomial:
 
...
 
 Note, no warning.
 
 I guess that this quasibinomial model is more reliable than the binomial.
 Now I can trust the SE of the Estim. too, can't I? 

No. Neither nor.
 
With binary data, the deviance is purely a function of the fitted
parameters. It is the difference in -2 log L between a perfect fit
and the observed fit. A perfect fit has a zero prob. where the obs is
0 and probability 1 where it is 1, and L == 1 identically in that
case. Now consider the likelihood for the complete toss-up i.e.
intercept and slope both equal to 0 so all probabilities are 0.5. The
likelihood in that case is 0.5^269, i.e. a constant. Take logarithms
and notice that the model deviance plus the change in deviance from
the model to the toss-up model is constant (2*269*log(2) to be
precise). So what appears to be a measure of residual error is
really just a measure of how far the fitted probabilities are from
0.5!


-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907

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Re: [R] robust standard error

2003-10-09 Thread Frank E Harrell Jr
On Thu,  9 Oct 2003 13:26:57 +0200
daniele\.frison [EMAIL PROTECTED] wrote:

 How can I do a 
 Multiple Linear Regression Models
  with robust standard error?
 Thank in advance.
 D.F.
 
 

One way:

install.packages('Hmisc'); install.packages('Design')
library(Design)
f - ols(y ~ x1 + , x=T, y=T)
g - robcov(f)  # or bootcov to use bootstrap s.e.'s

---
Frank E Harrell JrProfessor and ChairSchool of Medicine
  Department of BiostatisticsVanderbilt University

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Re: [R] nlme lme for complex mixed ANOVAs

2003-10-09 Thread Douglas Bates
The short answer is yes.

The longer answer is the lme function in the nlme package uses a
compact representation of the model matrices for a mixed-effects
model.  It is a sparse matrix representation that is specific to cases
of strictly nested random effects when there is more that one level of
random effects.  In your case it seems that there will only be random
effects for animal and the sparse matrix representation would apply.

You may find that the version of lme in the experimental lme4 package
is faster than the version in nlme.

David Airey [EMAIL PROTECTED] writes:

 I downloaded R for the first time yesterday, in the hopes that I might
 deal more effectively with a complex repeated measures experimental
 design involving inbred strains of laboratory mice. The design below,
 somewhat simplified, cannot be computed with standard ANOVA, because
 something called the X'X matrix is too large. The design has the
 following factors:
 
 
 Between-subject factors (levels):
   inbred mouse strain (20, twenty)
   sex (2)
 Animals:
   10 per sex*strain combination (400 total)
 Within-subject factors:
   drug (3)
   trial set (4)
   stimulus characteristic 1 (2)
   stimulus characteristic 2 (2)
 
 My question for the R community is, does R have in nlme or lme the
 ability to compute this problem on a typical desktop PC? In Stata, for
 instance, which has a matrix size limit of 11,000, the problem above
 will not fit, using standard ANOVA. Matrix size can be determined by
 listing all the terms of the full model and multiplying the levels of
 each factor withing a term and summing all terms. I said simplified in
 the first paragraph above, because if I include the day of drug
 challenge, the model oversteps the number of within-subject factors
 allowed. So, surprisingly to me, Stata/SE, which I bought for large
 data sets, is too small! Not that I don't like Stata, but I am annoyed
 that I must find another tool to use. I understand that SAS Proc Mixed
 will compute the problem, because it may handle the covariance matrix
 in some kind of piecemeal fashion (perhaps by animal but I've no
 confirmation of this, except that it zips through a comparable data
 set on someone else's computer). However, I am running Apple OS X and
 don't have SAS on my machine. I don't really understand what's going
 on underneath these programs respective hoods, but my question here is
 whether R computes mixed models in such a way as to require a matrix
 size like Stata or like SAS, when mixed models of this size are
 presented?
 
 
 Sincerely,
 
 -Dave
 
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Douglas Bates[EMAIL PROTECTED]
Statistics Department608/262-2598
University of Wisconsin - Madisonhttp://www.stat.wisc.edu/~bates/

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[R] Partly successful build on Alpha/Tru64 UNIX 5.1

2003-10-09 Thread Jörg Polzehl
Dear all,

 I'd like to share my experiences in building R 1.8.0 on an 
Alpha/Tru64 UNIX 5.1
machine.

I used the following modifications in file  config.site:

CC=cc
F77=f77
CXX=c++
MAKE=gmake
with these settings I was able to successfully run

./configure MAKE=gmake

I had to manually unpack the files insrc/library/recommended
to get
gmake

running through the end (otherwise gmake complained about a
missing method for survival). Everything worked fine then.
gmake check

produces three errors inarith.R .
All of these errors are due to an occurrence of  a  -0 instead of 0.
Unfortunately gmake check stops here, with  gmake check FORCE=FORCE
yielding the same result.
gmake install

runs without problems.

Best regards,

Jörg Polzehl

Dr. Jörg Polzehl
WIAS, Mohrenstr. 39
D-10117 Berlin, Germany
email: [EMAIL PROTECTED]
Tel. +49 30/20372 481
Fax: +49 30/2044975
WWW: http://www.wias-berlin.de/people/polzehl
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Re: Under dispersion; Was: [R] binomial glm warnings revisited

2003-10-09 Thread Tord Snall
Dear all,

 BUT, note the under dispersion. I GUESS it is because I have surveyed a
 moss on marked trees at three occations (with two years in between). The
 response 1 means that the moss has disappeared, and dbh is tree diameter.
 (This corresponds to revisitng patients who has a disease, and whose weight
 is unchanged between the visits. H0: weight does not affect tha chance of
 recovery from the disease)

Don't trust deviances as measures of dispersion with binary data! 


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[R] startup file and lambda

2003-10-09 Thread christoff pale
Hi,s there a .Rrc file? so that when R starts up
it automatically loads this file?
I am interested in putting in some matlab-like
functions names I am very use to.
for example: ans=.Last.value 
etc

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RE: [R] startup file and lambda

2003-10-09 Thread Liaw, Andy
See ?Startup.

Andy

 -Original Message-
 From: christoff pale [mailto:[EMAIL PROTECTED] 
 Sent: Thursday, October 09, 2003 10:40 AM
 To: [EMAIL PROTECTED]
 Subject: [R] startup file and lambda
 
 
 Hi,s there a .Rrc file? so that when R starts up
 it automatically loads this file?
 I am interested in putting in some matlab-like
 functions names I am very use to.
 for example: ans=.Last.value 
 etc
 
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[R] dyn.load error with C file

2003-10-09 Thread Jason Sinnwell
Re-sending this from 10/7.  Please help! I'm really clueless how to fix this:

System: Solaris 7, Software: R_1.7.1 for unix

 R CMD INSTALL -l /Rdir/library haplo.stats_1.1.0.tar.gz

-works like a charm-- no syntax errors, etc


But problems are when I'm loading the library within R.
 
 library(haplo.stats, lib.loc=/people/biostat3/sinnwell/Rdir/library)
 Error in dyn.load(x, as.logical(local), as.logical(now)) : 
 unable to load shared library 
 /people/biostat3/sinnwell/Rdir/library/haplo.stats/libs/haplo.stats.so:
   ld.so.1: /opt/tools/R/current-version/lib/R/bin/R.bin: fatal: relocation 
 error: file 
 /people/biostat3/sinnwell/Rdir/library/haplo.stats/libs/haplo.stats.so: symbol 
 errmsg: referenced symbol not found
 Error in library(haplo.stats, lib.loc = 
 /people/biostat3/sinnwell/Rdir/library) : 
 .First.lib failed

Within my package I have three C files, one of which I believe is causing the 
dynamic library error below.  
When I leave out this one C file when building the package, though remaining 
R-functions depend on it, the library loads beautifully.  We use all Calloc and 
Free for double-compatibility with S, so memory allocation is fine.  Is there 
some issue with C and R that I'm not aware of?


 FYI:  
 We have the whole haplo.stats package working in S, INCLUDING that C-file
 Also, zzz.R for haplo.stats package:
 
 .First.lib - function(lib, pkg) {
library.dynam(haplo.stats, pkg, lib)
 }

Has anyone dealt with anything similar to this?  I see some similar Fortran 
error messages...
 
Thank you for your help,
 
Jason 
 
-
Jason P. Sinnwell, M.S.
Mayo Clinic, Rochester
Health Sciences Research
Division of Biostatistics
507.284.3270

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Re: [R] startup file and lambda

2003-10-09 Thread Philipp Pagel
On Thu, Oct 09, 2003 at 07:39:58AM -0700, christoff pale wrote:
 Hi,s there a .Rrc file? so that when R starts up
 it automatically loads this file?

?Startup

will tell you everything you want to know - especially bout the
.Rprofile file.

cu
Philipp

-- 
Dr. Philipp PagelTel.  +49-89-3187-3675
Institute for Bioinformatics / MIPS  Fax.  +49-89-3187-3585
GSF - National Research Center for Environment and Health
Ingolstaedter Landstrasse 1
85764 Neuherberg, Germany

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[R] anonymous access to the R CVS archive

2003-10-09 Thread Douglas Bates
Thanks to John Eaton of the Octave project we now have anonymous CVS
access to (a copy of) the R archive.  See http://anoncvs.r-project.org/

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[R] upgrading R

2003-10-09 Thread Weiming Zhang
Hi,

I have installed a lot of extra packages for R 1.7.1. If I install R
1.8.0, will I have to reinstall all those packages? Is there a way that
I can upgrading R without losing old packages?

Thank you.

wz

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[R] curious mistake in tkradiobutton

2003-10-09 Thread solares
Hello, the following code produces an error when executing it, it is a code 
that produces 6 checkbutton that at 
the beginning are empty, when selecting the first checkbox he says that  
doesn't know the second 
variable tcl, he say: 

[1] 1
Error in structure(.External(dotTcl, ..., PACKAGE = tcltk), class 
= tclObj) : 
[tcl] can't read ::RTcl2: no such variable.

when six variables tcl has been created in the array b and they exist:

 b
[1] ::RTcl1 ::RTcl2 ::RTcl3 ::RTcl4 ::RTcl5 ::RTcl6

the script is(I'm use R 1.7.1 for win):

library(tcltk)
tt-tktoplevel()
f-tkframe(tt)
tkpack(f)
j-6
nbre-c(c1,c2,c3,c4,c5,c6)
b-c()
i-1
 while (i=j){
  aux-paste(b,i,sep=)
  aux-tclVar(init=0)
  b-c(b,as.character(aux))
  tclvalue(b[i])-0
  i-i+1
 }
 i-1
 while (i=j){
 t-tkcheckbutton(f,text=nbre[i],variable=eval(b
[i]),relief=raised,command=function()ver())
 tkpack(t)
 i-i+1
 }
 
 ver-function(){
 k-1
 while (k=j){
  print(tclvalue(b[k]))
  k-k+1
  }
  }

 any help will be welcome. Thank you Ruben

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[R] Fitting AR(p) models

2003-10-09 Thread Laura Quinn
I am wanting to fit AR(p) models to column data for a series of matrices
I have. Rather than trying to compute the AR models per column I was
hoping to be able to do this per matrix (i.e. one AR model for each column
in said matrix). However, when i attempt this, if there is just one NA
value in any of the columns, the program refuses to compute AR models for
any of the columns.(I am using na.action=na.omit)

Is there a way I can force the calculation to provide AR models for
complete columns, or alternatively, a better way to deal with NA's to
provide an AR model, (eg via interpolation?) despite some missing values?

I hope this makes some sense,

thanks in advance,
Laura

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Re: [R] Getting rows from a dataframe

2003-10-09 Thread Rajarshi Guha
On Thu, 2003-10-09 at 12:02, Mark Lee wrote:
 Sorry if this is a silly question. I'm trying to extract all elements
 of a dataframe at a particular row. I can find no mention of this in
 any documentation and it may be naivety of dataframe on my part as I'm
 very green at this. Thankyou,

If d is your data.frame then

d[ 1, ]

will give all the columns coresponding to row 1 in a data.frame


 d - read.table('data')
 class(d)
[1] data.frame
 x - d[1,]
 class(x)
[1] data.frame


HTH
---
Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
---
A red sign on the door of a physics professor: 
'If this sign is blue, you're going too fast.'

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Re: [R] upgrading R

2003-10-09 Thread apjaworski

I am not sure if this is a proper way, but here is what I did recently
installing consecutive alpha and beta releases of 1.8.0 on a Win2000
machine:
(1) I uninstalled previous version using the uninstall provided with R.
This leaves all the additional packages in the library folder
(2) I reinstalled the new version into the same folder structure.

The problem might be that some 1.7.1 packages might be different from
1.8.0, so it might be safer to reinstall them from CRAN.

Andy

__
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Engineering Systems Technology Center
3M Center, 518-1-01
St. Paul, MN 55144-1000
-
E-mail: [EMAIL PROTECTED]
Tel:  (651) 733-6092
Fax:  (651) 736-3122


|-+
| |   Weiming Zhang  |
| |   [EMAIL PROTECTED]|
| |   edu |
| |   Sent by: |
| |   [EMAIL PROTECTED]|
| |   ath.ethz.ch  |
| ||
| ||
| |   10/09/2003 10:38 |
| ||
|-+
  
-|
  |
 |
  |  To:   [EMAIL PROTECTED]   
  |
  |  cc:   
 |
  |  Subject:  [R] upgrading R 
 |
  
-|




Hi,

I have installed a lot of extra packages for R 1.7.1. If I install R
1.8.0, will I have to reinstall all those packages? Is there a way that
I can upgrading R without losing old packages?

Thank you.

wz

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Re: [R] dyn.load error with C file

2003-10-09 Thread Prof Brian Ripley
On Thu, 9 Oct 2003, Jason Sinnwell wrote:

 Re-sending this from 10/7.  Please help! I'm really clueless how to fix this:

Your code calls the C entry point errmsg, and that is not in the R binary.  
So find out what library it is in and link against it.  NB: it does not
show up on our Solaris 8 system at a quick look.

I think the error message is pretty explicit, so maybe you need to take 
local advice about your C code.

 
 System: Solaris 7, Software: R_1.7.1 for unix
 
  R CMD INSTALL -l /Rdir/library haplo.stats_1.1.0.tar.gz
 
 -works like a charm-- no syntax errors, etc
 
 
 But problems are when I'm loading the library within R.
  
  library(haplo.stats, lib.loc=/people/biostat3/sinnwell/Rdir/library)
  Error in dyn.load(x, as.logical(local), as.logical(now)) : 
  unable to load shared library 
  /people/biostat3/sinnwell/Rdir/library/haplo.stats/libs/haplo.stats.so:
ld.so.1: /opt/tools/R/current-version/lib/R/bin/R.bin: fatal: relocation 
  error: file 
  /people/biostat3/sinnwell/Rdir/library/haplo.stats/libs/haplo.stats.so: symbol 
  errmsg: referenced symbol not found
  Error in library(haplo.stats, lib.loc = 
  /people/biostat3/sinnwell/Rdir/library) : 
  .First.lib failed
 
 Within my package I have three C files, one of which I believe is causing the 
 dynamic library error below.  
 When I leave out this one C file when building the package, though remaining 
 R-functions depend on it, the library loads beautifully.  We use all Calloc and 
 Free for double-compatibility with S, so memory allocation is fine.  Is there 
 some issue with C and R that I'm not aware of?
 
 
  FYI:  
  We have the whole haplo.stats package working in S, INCLUDING that C-file
  Also, zzz.R for haplo.stats package:
  
  .First.lib - function(lib, pkg) {
 library.dynam(haplo.stats, pkg, lib)
  }
 
 Has anyone dealt with anything similar to this?  I see some similar Fortran 
 error messages...
  
 Thank you for your help,
  
 Jason 
  
 -
 Jason P. Sinnwell, M.S.
 Mayo Clinic, Rochester
 Health Sciences Research
 Division of Biostatistics
 507.284.3270
 
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Re: [R] Getting rows from a dataframe

2003-10-09 Thread Gavin Simpson
Mark Lee wrote:

Sorry if this is a silly question. I'm trying to extract all elements
of a dataframe at a particular row. I can find no mention of this in
any documentation and it may be naivety of dataframe on my part as I'm
very green at this. Thankyou,
Mark

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dat - data.frame(var1 = c(1:10), var2 = c(31:40), var3 = c(6:15))

dat[1, ] #extract 1st row

dat[1:4, ] #extract rows 1 through 4

dat[c(1,3,5,7,9), ] #extract named non-consecutive rows

dat[ ,1] # extract 1st column

... etc

It's in 'An Introduction to R' that should have come with your 
distribution, or in the manuals section of the r website:

http://www.r-project.org

HTH
--
%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
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ENSIS Research Fellow [F] +44 (0)20 7679 7565
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AW: [R] Getting rows from a dataframe

2003-10-09 Thread Unternährer Thomas, uth

Df[x, ]

Read 'an introduction to R' and 'FAQ'



-Ursprüngliche Nachricht-
Von: Mark Lee [mailto:[EMAIL PROTECTED] 
Gesendet: Donnerstag, 9. Oktober 2003 18:02
An: [EMAIL PROTECTED]
Betreff: [R] Getting rows from a dataframe


Sorry if this is a silly question. I'm trying to extract all elements of a dataframe 
at a particular row. I can find no mention of this in any documentation and it may be 
naivety of dataframe on my part as I'm very green at this. Thankyou,

Mark

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AW: [R] Getting rows from a dataframe

2003-10-09 Thread Mark Lee
I have this right on the desk in front of me. I have gone through most
of this actually and have been looking for the answer for several
weeks now before resorting to this. The only reference I've found to
this is on page 20 under array indexing but didn't see the relation to
dataframes. Thanks,

Mark

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[R] R-OpenOffice.org Calc

2003-10-09 Thread Branimir K. Hackenberger

I have been very satisfied with R-Excel interface (DCOM). Few months ago
I have changed my OS to Linux-Mandrake, and now I am using
OpenOffice.org Calc as spreadsheet. I would like to know does exist some
R-OpenOffice.org interface or how is possible to use R-functions in
OpenOffice.org Calc?

Thanks a lot!

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Re: [R] plotting graphs with Rterm

2003-10-09 Thread Uwe Ligges
Eric ESPOSITO wrote:

Hello,
I need to execute R code contained in  a file xxx.R from DOS.
The file is really simple, only:
plot(rnorm(100))
You have to specify the windows() device explicitly, if you are in 
non-interactive mode:

 windows()
 plot(rnorm(100))

When I launch Rterm from Dos command and then source the file xxx.R it
works, but I need to call the command from a DOS command file *.bat
Using Rterm --slave  xxx.R plots the graph in a postscript file Rplots.ps,
how can I do to get the graph in an R window.
Using a command windows() or win.graph() in the R file does not work any
more.
I have the same problem with tk widgets. If the file xxx.R is:

library(tcltk)
tt-tktoplevel()
The widget does not appear on the screen.


It appears! I guess your R process has finished right after those lines 
and the window has been shut before you have seen it.

Uwe Ligges


Does anybody can help?
Regards,
Eric
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[R] Automatic re-looping after error

2003-10-09 Thread Ted Harding
Hi Folks,
I'm seeking advice about how to resume an outer loop following
failure of a function within the loop (which issues an error
message).

Essentially, I'm repeating (simulating) a process which involves
random sampling, EM and MCMC. I'm walking on very edge of rather
thin ice -- data rather thinly spread over many parameters!

Occasionally some component of the loop fails, with an error message.
At this point, R quits the run altogether and returns to the command
prompt. I then have to restart the whole script.

All that's really needed to cope with the situation is for R to
drop that cycle of the loop, and resume with a new cycle.

However, I'm wondering how to set this up. I've had a look at
try(), and I'm not at all sure that it does what I would want.
What I'd really like is something (inside the loop) on the lines of

   on.error(maybe some parameters X) break

where X might specify what sort of error or what function it comes
from. Would setting

  options(error = break )

do it?

Any other suggestions?

With thanks,
Ted.



E-Mail: (Ted Harding) [EMAIL PROTECTED]
Fax-to-email: +44 (0)870 167 1972
Date: 09-Oct-03   Time: 18:03:37
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Re: AW: [R] Getting rows from a dataframe

2003-10-09 Thread Tony Plate
If you're having so much trouble, perhaps it's because you want to get a 
vector result?  This requires a little more, and if so, perhaps one of the 
following provides what you are looking for:

 x - data.frame(a=1:3,b=4:6)
 # row as a data frame
 x[2,]
  a b
2 2 5
 # row as a list
 x[2,,drop=T]
$a
[1] 2
$b
[1] 5
 # row as a vector
 unlist(x[2,,drop=T])
a b
2 5
 # row as a vector again
 unlist(x[2,])
a b
2 5
 # row as a matrix (if x contains any non-numeric columns, this will be a 
character matrix)
 as.matrix(x[2,])
  a b
2 2 5
 # row as a vector (if x contains any non-numeric columns, this will be a 
character vector)
 as.matrix(x)[2,]
a b
2 5
 # row as a numeric vector (non-numeric columns in x will be converted to 
numeric data, see ?data.matrix for how)
 data.matrix(x[2,])
  a b
2 2 5


Tony Plate

At Thursday 05:40 PM 10/9/2003 +0100, Mark Lee wrote:
I have this right on the desk in front of me. I have gone through most
of this actually and have been looking for the answer for several
weeks now before resorting to this. The only reference I've found to
this is on page 20 under array indexing but didn't see the relation to
dataframes. Thanks,
Mark

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Re: [R] Automatic re-looping after error

2003-10-09 Thread Spencer Graves
Have you considered try? 

hope this helps.  spencer graves

(Ted Harding) wrote:

Hi Folks,
I'm seeking advice about how to resume an outer loop following
failure of a function within the loop (which issues an error
message).
Essentially, I'm repeating (simulating) a process which involves
random sampling, EM and MCMC. I'm walking on very edge of rather
thin ice -- data rather thinly spread over many parameters!
Occasionally some component of the loop fails, with an error message.
At this point, R quits the run altogether and returns to the command
prompt. I then have to restart the whole script.
All that's really needed to cope with the situation is for R to
drop that cycle of the loop, and resume with a new cycle.
However, I'm wondering how to set this up. I've had a look at
try(), and I'm not at all sure that it does what I would want.
What I'd really like is something (inside the loop) on the lines of
  on.error(maybe some parameters X) break

where X might specify what sort of error or what function it comes
from. Would setting
 options(error = break )

do it?

Any other suggestions?

With thanks,
Ted.

E-Mail: (Ted Harding) [EMAIL PROTECTED]
Fax-to-email: +44 (0)870 167 1972
Date: 09-Oct-03   Time: 18:03:37
-- XFMail --
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RE: [R] Getting rows from a dataframe

2003-10-09 Thread Paul, David A
Suppose foo.frame is your dataframe.  Use

foo.frame[j,]

to extract all of the elements in the jth row
of foo.frame.  Also, you should get two excellent
books that will help your learning process:

The Basics of S and Splus, by Krause and Olsen,
Third Edition, Springer-Verlag

Modern Applied Statistics with S, by Venables 
and Ripley, Fourth Edition, Springer-Verlag

Krause  Olsen's book is the more elementary
of the two.  Venables and Ripley will get you
to the point where you can productively use 
R/Splus for statistical analyses. Hope this helps.


Best,
  david paul


-Original Message-
From: Mark Lee [mailto:[EMAIL PROTECTED] 
Sent: Thursday, October 09, 2003 12:02 PM
To: [EMAIL PROTECTED]
Subject: [R] Getting rows from a dataframe


Sorry if this is a silly question. I'm trying to extract all elements of a
dataframe at a particular row. I can find no mention of this in any
documentation and it may be naivety of dataframe on my part as I'm very
green at this. Thankyou,

Mark

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[R] New Department of Biostatistics, Multiple Job Openings

2003-10-09 Thread Frank E Harrell Jr
NEW DEPARTMENT OF BIOSTATISTICS

The School of Medicine at Vanderbilt University is pleased to announce
the creation of a new Department of Biostatistics.  Vanderbilt has
made a major new funding commitment to build a world-class department.
Chaired by Frank E. Harrell, Jr., the new department has exceptional
institutional support from a medical center that is currently 16th in
U.S. News and World Report's 2002 rankings of research-oriented
medical schools, and has seen a sharp rise in NIH and other grant
funding.  The Vanderbilt School of Medicine has a strong basic,
clinical, and health services research program.  The Dean and other
senior medical school faculty are committed to providing outstanding
collaborative support in biostatistics to clinical and basic
scientists and to developing a graduate program in biostatistics that
will train outstanding collaborative scientists and will focus on the
methods of modern applied statistics.

The department currently has 9 PhD faculty members and plans to double
in size over the next two years, continuing to add a significant
number of faculty and staff biostatisticians after that.  Besides a
graduate program, a statistical data coordinating center will be
created.  We are excited about the future and seek outstanding
biostatisticians who will help us to bring our goals to fruition.

POSITIONS AVAILABLE AT ALL LEVELS

There are openings at all levels: full professor, associate professor,
assistant professor, senior and junior M.S. biostatistician,
statistical programmers knowledgeable about tools such as R, S-Plus, and
LaTeX, and data managers.  We are especially seeking individuals with
expertise in clinical trials, health services research, Bayesian
methods, statistical methods in epidemiology, multicenter clinical
trial data management, clinical safety assessment for pharmaceutical
trials, and modern statistical computing.  Applicants for PhD or MS
biostatistician positions must have degrees in Biostatistics or have
graduate degrees in Statistics with significant experience in
clinical research or health services/outcomes research. 

Vanderbilt University is an independent, privately supported,
university with an enrollment of 10,800 undergraduate, graduate, and
professional students.  The medical center is located within the main
campus on 330 acres near downtown Nashville, Tennessee.  Faculty and
staff at the university receive excellent fringe benefits, including
health, dental, life, and disability insurance, a tax deferred
contributory retirement plan, and generous tuition assistance for
dependents.

Nashville is a pleasant metropolitan area of approximately 1.2 million
residents.  A wide variety of cultural activities are available,
especially for music lovers.  Nashville is famous as the home of
country and western music.  In addition, as a recording center for the
music industry, the city draws many excellent rock, jazz, and
classical artists.  Sports fans will appreciate the Tennessee Titans
(football), Nashville Predators (ice hockey), Nashville Sounds (AAA
baseball), and numerous intercollegiate sporting events.  There are
many parks in the area, including the largest in-city park in the
United States.  Nashville also provides easy access to recreational
areas for hiking, bicycling, water sports, and other outdoor
activities.

All candidates must enjoy collaborative research and possess excellent
written and verbal communication skills.  Send CV to
[EMAIL PROTECTED] or to Search Committee, Biostatistics, S-2323
MCN, Vanderbilt University, Nashville, TN 37232-2158. Vanderbilt
University is an equal opportunity/affirmative action employer; all
qualified persons are encouraged to apply.

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[R] Specifying suitable PC to run R

2003-10-09 Thread Michael Dewey
If I am buying a PC where the most compute intensive task will be running R 
and I do not have unlimited resources what trade-offs should I make?
Specifically should I go for
1 - more memory, or
2 - faster processor, or
3 - something else?
If it makes a difference I shall be running Windows on it and I am thinking 
about getting a portable which I understand makes upgrading more difficult.

Extra background: the tasks I notice going slowly at the moment are fitting 
models with lme which have complex random effects and bootstrapping. By the 
standards of r-help posters I have small datasets (few thousand cases, few 
hundred variables). In order to facilitate working with colleagues I need 
to stick with windows even if linux would be more efficient

Michael Dewey
[EMAIL PROTECTED]
http://www.aghmed.fsnet.co.uk/home.html
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Re: [R] Specifying suitable PC to run R

2003-10-09 Thread Roger D. Peng
On Windows, I find that having as much memory as I can possibly afford 
makes a real difference with R.  Since I always end up having larger 
datasets/problems then I thought I'd have.  My general strategy is to 
maximize the amount of memory first -- if that doesn't work, then think 
about getting a faster processor.

-roger

Michael Dewey wrote:

If I am buying a PC where the most compute intensive task will be 
running R and I do not have unlimited resources what trade-offs should 
I make?
Specifically should I go for
1 - more memory, or
2 - faster processor, or
3 - something else?
If it makes a difference I shall be running Windows on it and I am 
thinking about getting a portable which I understand makes upgrading 
more difficult.

Extra background: the tasks I notice going slowly at the moment are 
fitting models with lme which have complex random effects and 
bootstrapping. By the standards of r-help posters I have small 
datasets (few thousand cases, few hundred variables). In order to 
facilitate working with colleagues I need to stick with windows even 
if linux would be more efficient

Michael Dewey
[EMAIL PROTECTED]
http://www.aghmed.fsnet.co.uk/home.html
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Re: [R] Automatic re-looping after error

2003-10-09 Thread Achim Zeileis
On Thursday 09 October 2003 19:03, Ted Harding wrote:

 Hi Folks,
 I'm seeking advice about how to resume an outer loop following
 failure of a function within the loop (which issues an error
 message).

 Essentially, I'm repeating (simulating) a process which involves
 random sampling, EM and MCMC. I'm walking on very edge of rather
 thin ice -- data rather thinly spread over many parameters!

 Occasionally some component of the loop fails, with an error
 message. At this point, R quits the run altogether and returns to
 the command prompt. I then have to restart the whole script.

 All that's really needed to cope with the situation is for R to
 drop that cycle of the loop, and resume with a new cycle.

 However, I'm wondering how to set this up. I've had a look at
 try(), and I'm not at all sure that it does what I would want.
 What I'd really like is something (inside the loop) on the lines of

on.error(maybe some parameters X) break

 where X might specify what sort of error or what function it comes
 from. Would setting

   options(error = break )

 do it?

 Any other suggestions?

Look at try().

hth,
Z

 With thanks,
 Ted.


 
 E-Mail: (Ted Harding) [EMAIL PROTECTED]
 Fax-to-email: +44 (0)870 167 1972
 Date: 09-Oct-03   Time: 18:03:37
 -- XFMail --

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Re: [R] Automatic re-looping after error

2003-10-09 Thread Achim Zeileis
On Thursday 09 October 2003 19:03, Ted Harding wrote:

 Hi Folks,
 I'm seeking advice about how to resume an outer loop following
 failure of a function within the loop (which issues an error
 message).

 Essentially, I'm repeating (simulating) a process which involves
 random sampling, EM and MCMC. I'm walking on very edge of rather
 thin ice -- data rather thinly spread over many parameters!

 Occasionally some component of the loop fails, with an error
 message. At this point, R quits the run altogether and returns to
 the command prompt. I then have to restart the whole script.

 All that's really needed to cope with the situation is for R to
 drop that cycle of the loop, and resume with a new cycle.

 However, I'm wondering how to set this up. I've had a look at
 try(), and I'm not at all sure that it does what I would want.
 What I'd really like is something (inside the loop) on the lines of

on.error(maybe some parameters X) break

 where X might specify what sort of error or what function it comes
 from. Would setting

   options(error = break )

 do it?

Argh, didn't read carefully enough, sorry. Usually, I would expect 
from your description that try() would be good enough. You can try() 
the critical functions inside the loop and modify the actions inside 
the loop accordingly if something goes wrong...
Z

 Any other suggestions?

 With thanks,
 Ted.


 
 E-Mail: (Ted Harding) [EMAIL PROTECTED]
 Fax-to-email: +44 (0)870 167 1972
 Date: 09-Oct-03   Time: 18:03:37
 -- XFMail --

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Re: [R] Automatic re-looping after error

2003-10-09 Thread Thomas Lumley
On Thu, 9 Oct 2003 [EMAIL PROTECTED] wrote:

 All that's really needed to cope with the situation is for R to
 drop that cycle of the loop, and resume with a new cycle.

 However, I'm wondering how to set this up. I've had a look at
 try(), and I'm not at all sure that it does what I would want.
 What I'd really like is something (inside the loop) on the lines of

on.error(maybe some parameters X) break

 where X might specify what sort of error or what function it comes
 from. Would setting

   options(error = break )


I don't think so.  You may need to look at the new exception-handling code
(start with help(tryCatch)).

-thomas

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[R] Indexing Question

2003-10-09 Thread Nathan Cooper
I have an indexing question. I have a data set that looks like this:

b
[[1]]
[1] 22 23 24 25 26
[[2]]
[1] 6 7 8 9 NA
etc. from [[1]] to [[1000]]

Then I need to use the sample function to take two samples from b[[1]] to 
b[[1000]] each separately. I thought something like 
sample(na.omit(b[[1:1000]]),2,replace=TRUE) would work but it doesn't. Is 
there a way to index this properly?? Thanks,

Nathan

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Re: [R] R-OpenOffice.org Calc

2003-10-09 Thread Barry Rowlingson
Branimir K. Hackenberger wrote:
I have been very satisfied with R-Excel interface (DCOM). Few months ago
I have changed my OS to Linux-Mandrake, and now I am using
OpenOffice.org Calc as spreadsheet. I would like to know does exist some
R-OpenOffice.org interface or how is possible to use R-functions in
OpenOffice.org Calc?
 I think all you need to do is download the SDK:

http://www.openoffice.org/dev_docs/source/sdk/index.html

 then read and understand both the 900 page OpenOffice SDK manual, and 
everything there is to know about R internals. Then write an extension 
for OpenOffice Calc that uses UNO to communicate between Calc and the R 
library. You'll probably have to use C++.

 The spreadsheet section of the SDK doc starts at page 535, by the way...

 Or is there a quicker way?

 Baz

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Re: [R] Indexing Question

2003-10-09 Thread Peter Dalgaard BSA
Nathan Cooper [EMAIL PROTECTED] writes:

 I have an indexing question. I have a data set that looks like this:
 
 b
 [[1]]
 [1] 22 23 24 25 26
 
 [[2]]
 [1] 6 7 8 9 NA
 
 etc. from [[1]] to [[1000]]
 
 Then I need to use the sample function to take two samples from b[[1]]
 to b[[1000]] each separately. I thought something like
 sample(na.omit(b[[1:1000]]),2,replace=TRUE) would work but it
 doesn't. Is there a way to index this properly?? Thanks,

Not really.

I'd try

lapply(lapply(b,na.omit),sample,2,replace=TRUE)

or

lapply(b,function(x)sample(na.omit(x),2,replace=TRUE))

-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907

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Re: [R] Indexing Question

2003-10-09 Thread Roger D. Peng
I think what you want is

lapply(b, function(x) sample(na.omit(x), 2, replace = TRUE))

-roger

Nathan Cooper wrote:

I have an indexing question. I have a data set that looks like this:

b
[[1]]
[1] 22 23 24 25 26
[[2]]
[1] 6 7 8 9 NA
etc. from [[1]] to [[1000]]

Then I need to use the sample function to take two samples from b[[1]] 
to b[[1000]] each separately. I thought something like 
sample(na.omit(b[[1:1000]]),2,replace=TRUE) would work but it 
doesn't. Is there a way to index this properly?? Thanks,

Nathan

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Re: [R] Specifying suitable PC to run R

2003-10-09 Thread james . holtman

If you are running Windows, do you have the Performance Monitor running?
This will help identify the reasons that programs are running slow.  Most
likely, you are low on memory and are paging a lot.  I alway have it
running and when I am running a large R script, if I am not using 100% of
the CPU, then I must be paging (assuming that I am not reading in my data).
You can also sprinkle the following function throughout your code to see
how much CPU and memory you are using.  I bracket all my major
computational sections with it:

 my.stats -  function(text = stats)
{
cat(text, -,sys.call(sys.parent())[[1]], :,  proc.time()[1:3],  :
, round(
memory.size()/2.^20., 1.), MB\n)
invisible(flush.console())
}

This prints out a message like:

 my.stats('Begin Reading')
Begin Reading - my.stats : 5.61 3.77 22309.67  :  18.7 MB

This says that I have used 5.61 CPU seconds of 'user' time, 3.77 CPU
seconds of 'system' time and the R session has been running for 22309
seconds (I always have one waiting for simple calculation) and I have
18.7MB of memory allocated to objects.

My first choice is get as much memory on your machine as you can; 1GB since
this the most that R can use.  I noticed a big difference in upgrading from
256M - 512M.  I also watch the Performance Monitor and when memory gets
low and I want to run a large job, I restart R.  Most of my scripts are
setup to run R without saving any data in the .Rdata file.  If I need to
save a large object, I do it explicitly since memory is key performance
limiting factor and Windows is not that good at freeing up memory after you
have used a lot of it.

A faster CPU will also help, but it would be the second choice, since if
you are paging, most of your time is spent on data transfer and not
computation.
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  Michael Dewey

  [EMAIL PROTECTED]To:   [EMAIL PROTECTED]
  
  uk  cc: 

  Sent by: Subject:  [R] Specifying suitable 
PC to run R   
  [EMAIL PROTECTED]

  ath.ethz.ch  

   

   

  10/09/2003 14:04 

   

   





If I am buying a PC where the most compute intensive task will be running R

and I do not have unlimited resources what trade-offs should I make?
Specifically should I go for
1 - more memory, or
2 - faster processor, or
3 - something else?
If it makes a difference I shall be running Windows on it and I am thinking

about getting a portable which I understand makes upgrading more difficult.

Extra background: the tasks I notice going slowly at the moment are fitting

models with lme which have complex random effects and bootstrapping. By the

standards of r-help posters I have small datasets (few thousand cases, few
hundred variables). In order to facilitate working with colleagues I need
to stick with windows even if linux would be more efficient


Michael Dewey
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Re: [R] lattice/levelplot: panels with values can be empty

2003-10-09 Thread Deepayan Sarkar
On Thursday 09 October 2003 05:40, Wolfram Fischer wrote:
 I tried:
   library(lattice)

   F0  - c( 'A', 'A', 'B', 'B' )
   F1  - c(  1 ,  1 ,  1 ,  2 )
   F2  - c(  8 ,  9 ,  8 ,  9 )
   VAL - c(  20,  50,  10,  60 )
   df - data.frame( F0, F1, F2, VAL )

   levelplot( VAL ~ F1 * F2 | F0, data=df )

 I got an empty field for F0 == 'A'
 and a colored field for F0 == 'B'.
 I expected two colored fields. - What can I do?

Hmm, this seems to be a bug triggered when some panel has only one unique x 
(or y) value. Can't think of a workaround, other than adding some dummy rows 
with VAL = NA, e.g.

F0  - c( 'A', 'A', 'B', 'B', 'A')
F1  - c(  1 ,  1 ,  1 ,  2 ,  2 )
F2  - c(  8 ,  9 ,  8 ,  9 ,  8 )
VAL - c(  20,  50,  10,  60, NA )
df - data.frame( F0, F1, F2, VAL )

Deepayan

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[R] subsetting objects

2003-10-09 Thread Jean Eid
I want to be able to exctract a matrix from a data frame that contains repeated 
measurements for individuals. i.e I want to exctract the second observation for each 
individual in the study. 
Is there a way of doing this? 

I guess what I am trying to ask is if there as a multidimensional version of 
aggregate() as in aggregate(data, list(data[,ID]), function(x) x[2,])
but aggregate will only give back scalars. 

Thank you, 
Jean
[[alternative HTML version deleted]]

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Re: [R] run R under unix

2003-10-09 Thread Andrew Robinson
Your Unix computer may also have screen installed.  This is a multiplexing 
terminal that allows you to place tasks in the background, log out of them, 
log back into them on different machines, maintain multiple command prompts, 
etc., all with minimal overhead - ideal for modems.

E.g. the following steps:

login
screen
R
source(mycode.R)
start simulation
Ctrl-a d
(screen is now detached; process is running in background)
exit

Then on a different machine

login
screen -r
(process is now running in foreground)
Ctrl-a d
(screen is now detached; process is running in background)
exit

You can create new screens, label them, obtain a menu, and use it to juggle 
numerous tasks - such as editing a source file and executing it efficiently.

Refinements: use source(mycode.R, echo=T) for information about the status 
of your simulation.  You can also easily write snippets of code to have the 
process email you when it's done, and run them via the system command. 
Locate cat commands judiciously through your code to update you on its 
progress.  

Andrew
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[R] detecting singular matrices

2003-10-09 Thread Murray Jorgensen
My colleague runs R 1.7.1 under Windows XP. He remarks:

A
[,1] [,2] [,3]
[1,]123
[2,]456
[3,]789
b
[1] 1 2 3
solve(A,b)
[1] -0.333  0.667  0.000
solve(A)
   [,1] [,2][,3]
[1,] -4.5036e+15  9.00720e+15 -4.5036e+15
[2,]  9.0072e+15 -1.80144e+16  9.0072e+15
[3,] -4.5036e+15  9.00720e+15 -4.5036e+15
eigen(A)
$values
[1]  1.611684e+01 -1.116844e+00 -1.303678e-15
with a condition number of  1.236260e+16 I think I'd like it to tell me it's singular like it used to :) and I know it is singular 
Under 1.6.0 also on XP I get

 solve(A,1:3)
Error in solve.default(A, 1:3) : singular matrix `a' in solve
 solve(A)
Error in solve.default(A) : singular matrix `a' in solve
 eigen(A)
$values
[1]  1.611684e+01 -1.116844e+00 -1.120190e-16
$vectors
   [,1][,2]   [,3]
[1,] -0.2719964 -0.76169140  0.3734378
[2,] -0.6159646 -0.08408654 -0.7468756
[3,] -0.9599328  0.59351831  0.3734378
Which seems to be preferable output.

Murray

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Email: [EMAIL PROTECTED]Fax 7 838 4155
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[R] Scoping Rules: Summary

2003-10-09 Thread Peter Alspach
Thanks to Andy Liaw, Roger Peng, Thomas Lumley, Brian Ripley and Peter
Dalgaard, all of whom addressed my questions or threads arising from
them.  The full messages were posted to the list so this is a brief
summary:

Andy Liaw explained the difference between lexical and dynamic scoping
and the rationale behind the choice of lexical scoping for R.  Roger
Peng showed how to modify fnB.  Brian Ripley suggested that it is
generally better to pass functions an object rather than just the name,
and warned of the dangers of using get() on the result of
deparse(substitute()).

Thanks all

Peter Alspach


Original question below:

I'm using R1.7.1 (Windows 2000) and having difficulty with scoping. 
I've studied the FAQ and on-line manuals and think I have identified
the
source of my difficulty, but cannot work out the solution.

For the purposes of illustration.  I have three functions as defined
below:

fnA - function(my.x)
{
  list(first=as.character(substitute(my.x)), second=sqrt(my.x))
}

fnB - function(AA)
{
  tmp.x - get(AA$first)
  tmp.x^2
}

fnC - function()
{
  x - 1:2
  y - fnA(x)
  z - fnB(y)
  c(x,y,z)
}

fnA() has a vector as an argument and returns the name of the vector
and the square root of its elements in a list.  fn(B) takes the result
of fn(A) as its argument, gets the appropriate vector and computes the
square of its elements.  These work fine when called at the command
line.

fnC() defines a local vector x and calls fnA() which operates on this
vector.  Then fnB() is called, but it operates on a global vector x in
GlobalEnv (or returns an error is x doesn't exist there) - but I want
it
to operate on the local vector.

I think this is related to the enclosing environment of all three
functions being GlobalEnv (since they were created at the command
line),
but the parent environment of fnB() being different when invoked from
within fnC().

My questions:

1  Have I correctly understood the issue ?
2  How do I make fnB() operate on the local vector rather than the
global one ?
3  And, as an aside, I have used as.character(substitute(my.x)) to
pass
the name - but deparse(substitute(my.x)) also works.  Is there any
reason to prefer one over the other?

Thank you ...



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RE: [R] subsetting objects

2003-10-09 Thread Gabor Grothendieck


test - data.frame(ID=c(1,1,1,2,2,2),data=1:6)
do.call(rbind, by(test,test$ID,function(x)x[2,]) )

 --- On Thu 10/09, Jean Eid  [EMAIL PROTECTED]  wrote:
From: Jean Eid [mailto: [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Date: Thu, 9 Oct 2003 16:06:12 -0400
Subject: [R] subsetting objects

I want to be able to exctract a matrix from a data frame that contains repeated 
measurements for individuals. i.e I want to exctract the second observation for each 
individual in the study. brIs there a way of doing this? brbrI guess what I am 
trying to ask is if there as a multidimensional version of aggregate() as in 
aggregate(data, list(data[,ID]), function(x) x[2,])brbut aggregate will only give 
back scalars. brbrThank you, brJeanbr  [[alternative HTML version 
deleted]]brbr__br[EMAIL PROTECTED] 
mailing listbrhttps://www.stat.math.ethz.ch/mailman/listinfo/r-helpbr

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Re: [R] Fitting AR(p) models

2003-10-09 Thread Jason Turner
Laura Quinn wrote:
I am wanting to fit AR(p) models to column data for a series of matrices
I have. Rather than trying to compute the AR models per column I was
hoping to be able to do this per matrix (i.e. one AR model for each column
in said matrix). However, when i attempt this, if there is just one NA
value in any of the columns, the program refuses to compute AR models for
any of the columns.(I am using na.action=na.omit)
Is there a way I can force the calculation to provide AR models for
complete columns, or alternatively, a better way to deal with NA's to
provide an AR model, (eg via interpolation?) despite some missing values?
Interpolation might not make sense for your data.  Can't tell from here. 
 Certainly it's quick, but it can also be pretty dirty - it 
over-weights those data regions.  You can get around this by 
interpolating, then selecting a lower resolution (window with a larger 
deltat), and build your model from that.

If the NAs are few and far between, some additional code to pick where 
the NAs are in each column, and build AR models from the longest 
continuous segment might be preferable.

Apart from that, there's not much else I can add.  Other takers?

Jason
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Re: [R] detecting singular matrices

2003-10-09 Thread Thomas Lumley
On Fri, 10 Oct 2003, Murray Jorgensen wrote:

 
  with a condition number of 1.236260e+16 I think I'd like it to tell me
  it's singular like it used to :) and I know it is singular

This was found during code freeze (and I suggested to Martin that he file
a bug report on it then, so that we could say Known Issue when someone
reported it).

Unlike the old LINPACK code the LAPACK code reports singularity only when
it encounters an exactly zero pivot. This doesn't happen very often.
There is another, more complicated LAPACK routine that reports an
estimated condition number and reports when the matrix is singular to
within working precision, and we should probably use that one instead.
We need to investigate things like relative speed as well.

-thomas

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[R] RWinEdt patch

2003-10-09 Thread Arnab mukherji
Hi:

 I just tried to install the patch for RWinEdt - there is an automated package 
('SWinRegistry' ) which with the rwinedt patch on the CRAN site have to be loaded as 
packages from R using the local zip drive option.

That works fine. The next step is to call the library(RwinEdt) and this does'nt work 
out ... the meesages i get are:

 install.packages(choose.files('',filters=Filters[c('zip','All'),]), .libPaths()[1], 
 CRAN = NULL)

updating HTML package descriptions


 install.packages(choose.files('',filters=Filters[c('zip','All'),]), .libPaths()[1], 
 CRAN = NULL)

updating HTML package descriptions


 install.packages(choose.files('',filters=Filters[c('zip','All'),]), .libPaths()[1], 
 CRAN = NULL)

updating HTML package descriptions


 library(RWinEdt)
Error in testRversion(descfile) : This package has not been installed properly
 See the Note in ?library
In addition: Warning message: 
package RWinEdt was built under R version 1.7.1 

I am using windows office 2000 and R ver 1.7 and hence the final error message. I have 
tried it out on ver 1.7.1 too and i Get the same error.

Was wondering if anyone else encountered this problem

thanks

Arnab

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RE: [R] upgrading R

2003-10-09 Thread Mulholland, Tom
This has been discussed with previous upgrades. One such discussion was
How to update installed packages to a new version of R?.
http://finzi.psych.upenn.edu/R/Rhelp02/archive/8316.html  There are a
variety of methods to choose from. You may also learn about updating
packages directly from the net which can take care of the issues of
having to reinstall packages.

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is prohibited. Please notify the sender immediately.


-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] 
Sent: Friday, 10 October 2003 12:16 AM
To: Weiming Zhang
Cc: [EMAIL PROTECTED]
Subject: Re: [R] upgrading R



I am not sure if this is a proper way, but here is what I did recently
installing consecutive alpha and beta releases of 1.8.0 on a Win2000
machine:
(1) I uninstalled previous version using the uninstall provided with R.
This leaves all the additional packages in the library folder
(2) I reinstalled the new version into the same folder structure.

The problem might be that some 1.7.1 packages might be different from
1.8.0, so it might be safer to reinstall them from CRAN.

Andy

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St. Paul, MN 55144-1000
-
E-mail: [EMAIL PROTECTED]
Tel:  (651) 733-6092
Fax:  (651) 736-3122


|-+
| |   Weiming Zhang  |
| |   [EMAIL PROTECTED]|
| |   edu |
| |   Sent by: |
| |   [EMAIL PROTECTED]|
| |   ath.ethz.ch  |
| ||
| ||
| |   10/09/2003 10:38 |
| ||
|-+
 
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  |  To:   [EMAIL PROTECTED]
|
  |  cc:
|
  |  Subject:  [R] upgrading R
|
 
---
--|




Hi,

I have installed a lot of extra packages for R 1.7.1. If I install R
1.8.0, will I have to reinstall all those packages? Is there a way that
I can upgrading R without losing old packages?

Thank you.

wz

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[R] command line limit under unix?

2003-10-09 Thread Zhen Pang
Dear all,

I have made my testing program to run successfully under unix in the 
background. However, my simulation work does not work. I read the 
foo.results file, I found it only have part of my code and not any output I 
want. Is there any line limit? My code is nearly 400 line. I can cut some of 
them, but I want to know whether there is any limit or exactly the number of 
limit is. Thanks.

Regards,

Pang Zhen

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Re: [R] command line limit under unix?

2003-10-09 Thread Jason Turner
Zhen Pang wrote:
I have made my testing program to run successfully under unix in the 
background. However, my simulation work does not work. I read the 
foo.results file, I found it only have part of my code and not any 
output I want. Is there any line limit? My code is nearly 400 line. I 
can cut some of them, but I want to know whether there is any limit or 
exactly the number of limit is. Thanks.
400 lines of input isn't large.   Were there any error messages?

Jason
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Re: [R] R-OpenOffice.org Calc

2003-10-09 Thread A.J. Rossini
Barry Rowlingson [EMAIL PROTECTED] writes:

 Branimir K. Hackenberger wrote:
 I have been very satisfied with R-Excel interface (DCOM). Few months ago
 I have changed my OS to Linux-Mandrake, and now I am using
 OpenOffice.org Calc as spreadsheet. I would like to know does exist some
 R-OpenOffice.org interface or how is possible to use R-functions in
 OpenOffice.org Calc?

   I think all you need to do is download the SDK:

 http://www.openoffice.org/dev_docs/source/sdk/index.html

   then read and understand both the 900 page OpenOffice SDK manual,
   and everything there is to know about R internals. Then write an
   extension for OpenOffice Calc that uses UNO to communicate between
   Calc and the R library. You'll probably have to use C++.

   The spreadsheet section of the SDK doc starts at page 535, by the way...

   Or is there a quicker way?

I think Harry M. (spelling escapes me this morning) posted about
working on a connection in the last few months.

That might help.

best,
-tony



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[R] R 1.8.0 Windows binaries uploaded

2003-10-09 Thread Duncan Murdoch
I've just uploaded the 1.8.0 binary build for Windows.  It should be
available on CRAN and the mirrors tomorrow.

Duncan Murdoch

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