Re: [R] Probelms installing package RMySQL (Dominic Senn)

2005-10-24 Thread Prof Brian Ripley
On Sun, 23 Oct 2005, Jeff Ryan wrote:

 Make sure you have your environment variable LDFLAGS set to -L/usr/
 lib, otherwise I believe the linker doesn't look there.

That is on the system default ld path on all known systems, including 
Solaris 8.

 You can check where R looks in the Makeconf file, under LDFLAGS.

Those are _additional_ places.

 Not too sure though - just slogged through building on a brand new
 Solaris box, and that was my problem. I am sure there are others who
 know FAR more than I.

Note that Dominic Senn had already replied to say this problem was solved: 
see

https://stat.ethz.ch/pipermail/r-help/2005-October/079897.html


 jeff
 On Oct 23, 2005, at 5:00 AM, [EMAIL PROTECTED] wrote:

 [R] Probelms installing package RMySQL (Dominic Senn)

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-- 
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] GAM and AIC: How can I do??? please

2005-10-24 Thread Martin Maechler
 ronggui == ronggui  [EMAIL PROTECTED]
 on Mon, 24 Oct 2005 10:09:30 +0800 writes:

ronggui === 2005-10-24 09:55:32
ronggui úÚ´ÅдÀº===

  Hello, I'm a Korean researcher who have been started to
 learn the R package.
 
 I want to make gam model and AIC value of the model to
 compare several models.
 
 I did the GAM model, but there were error for AIC.
 SO, how can I do? pleas help me!!!
 
 
 I did like below;

 
  a.fit - gam(pi~ s(t1r), family = gaussian(link=log))
  summary(a.fit)

Family: gaussian
Link function: log
 
Formula:
pi ~ s(t1r)
 
Parametric coefficients:
   Estimate  std. err.t ratioPr(|t|)
constant   0.093105   0.005238  17.77 2.22e-16
 
Approximate significance of smooth terms:
  edf   chi.sq p-value
s(t1r)  1.833   24.153 0.00014213
 
R-sq.(adj) =  0.435   Deviance explained = 47.1%
GCV score = 0.0010938   Scale est. = 0.00099053  n = 30

ronggui are you using the mgcv package?  if you are,just
ronggui use a.fit$aic to get the aic.

hmm, yes, and no:

It's true what you say,  
BUT is not at all recommended in general:

You should use the generic AIC() function
rather than extracting components yourself.

This is a general priniciple:  If possible use  'extractor functions'
to work on objects rather then relying on internal
representations.

This is particularly relevant for fitted models:

Do use  residuals(.), fitted(.), LogLik(.), AIC(.), vcov(.) 
etc etc!


Now back to this problem:

 AIC(a.fit) 
 Error in logLik(object) : no applicable method for logLik

I can't reproduce this; Eun definitely needs to give more
details, since the following works fine:

 library(mgcv)
 x - 1:50
 set.seed(1)
 y - 2^(sin(x/10) + rnorm(50))
 a.fit - gam(y ~ s(x), family = gaussian(link=log))
 summary(a.fit)

Family: gaussian 
Link function: log 

Formula:
y ~ s(x)

Parametric coefficients:
Estimate Std. Error t value Pr(|t|)  
(Intercept)   0.3171 0.1251   2.535   0.0147 *
---
Signif. codes:  ..{UTF-8 code}

Approximate significance of smooth terms:
   edf Est.rankF p-value   
s(x) 2.8589.000 3.07 0.00576 **
---
Signif. codes: 

R-sq.(adj) =0.4   Deviance explained = 43.5%
GCV score = 0.94391   Scale est. = 0.87107   n = 50

 AIC(a.fit)
[1] 140.6937


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[R] Strange update behavior of gregmisc

2005-10-24 Thread Thomas Schönhoff
Hello,

I notice an odd behavior of gregmisc package when using
update.packages() via R --no-save (as root).
Every time I launch update.packages() gregmisc is repeatedly selected
for upgrade. Current available version of gregmisc is 2.08 according
to 'installed.packages()'. Despite I obviousely have already installed
the most up to date gregmisc,  gregmisc will be updated repeatedly?

No one seems to have noticed a similar behavior like this before
according to mail archive. All dependencies are seemingly meet and no
error messages occured, so I am kind of stuck to figure out what
happens here.
Here is my update session:

thomas# R --no-save

---
 update.packages()
--- Please select a CRAN mirror for use in this session ---
Loading Tcl/Tk interface ... done
gregmisc :
 Version 2.0.6 installed in /usr/lib/R/site-library
 Version 2.0.8 available at http://pangora.org/cran
Update (y/N/c)?  y
try URL 'http://pangora.org/cran/src/contrib/gregmisc_2.0.8.tar.gz'
Content type 'application/x-tar' length 901 bytes
URL opened
==
downloaded 901 bytes

* Installing *source* package 'gregmisc' ...
No man pages found in package 'gregmisc'
** building package indices ...
* DONE (gregmisc)

The downloaded packages are in
/tmp/Rtmp4Thydf/downloaded_packages
--

When I relaunch 'update.packages()' the same as desribed above is
going to happen again?

Do I miss something?

regards

Thomas

My system (Debian Sarge):

platform i386-pc-linux-gnu
arch i386
os   linux-gnu
system   i386, linux-gnu
status
major2
minor2.0
year 2005
month10
day  06
svn rev  35749
language R

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[R] [R-pkgs] new package bundle on CRAN: BACCO

2005-10-24 Thread Robin Hankin
Dear List

please find on CRAN a new R bundle, BACCO, for Bayesian analysis of
random functions, comprising two packages: emulator and calibrator.

Package calibrator implements:

“Bayesian calibration of computer models”, M. C. Kennedy and A.  
O'Hagan 2001. Journal of the Royal Statistical Society B, 63(3)  
pp425-464


and package emulator implements:
J. Oakley 2004. “Estimating percentiles of uncertain computer code  
outputs”. Applied Statistics, 53(1), pp89-93.

J. Oakley and A. O'Hagan, 2002. “Bayesian Inference for the  
Uncertainty Distribution of Computer Model Outputs”, Biometrika 89 
(4), pp769-784





The bundle is described in:

R. K. S. Hankin 2005. “Introducing BACCO, an R bundle for Bayesian  
analysis of computer code output”, Journal of Statistical Software, 14 
(16)




enjoy


rksh

--

Robin Hankin
Uncertainty Analyst
National Oceanography Centre, Southampton
European Way, Southampton SO14 3ZH, UK
  tel  023-8059-7743

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[R] Is 64-bit linux compatible version of 'R' available?

2005-10-24 Thread uttam . phulwale

Hi,
Is there any 64-bit compatible version of 'R' available?

Thanks  Regards,

Uttam Phulwale
Tata Consultancy Services Limited
Mailto: [EMAIL PROTECTED]
Website: http://www.tcs.com


[[alternative HTML version deleted]]

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Re: [R] Male and female symbols?

2005-10-24 Thread Barry Rowlingson
(Ted Harding) wrote:

 For example -- though I'm not seriously saying I need this --
 in a population study of faxes and rabbits surveyed over several
 years, one might wish to plot the Rabbit population using tiny
 rabbits as points, and foxes' heads for the Fox population.

  I cant help thinking now of the graphic shown on the 'Brass Eye' 
comedy show on Animal Cruelty. Cue totally over-the-top 3d zooming 
barchart with mad lighting effects, and voice-over:

'If you plot number of animals abused against what makes people 
cruel versus intelligence of either party, the pattern is so 
unreadable you might as well draw in a chain of fox heads on sticks.
And if you do that, an interesting thing happens: the word cruel 
starts flashing.'

  But seriously: you could load in an image with the pixmap package and 
plot with that:

library(pixmap)
x - read.pnm(system.file(pictures/logo.ppm, package=pixmap)[1])
plot(1:10,type='n')
for(i in 1:10){addlogo(x,px=c(i-.2,i+.2),py=c(i-.2,i+.2))}

 From there to a chain of fox heads on sticks is a small step.

Baz

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Re: [R] Is 64-bit linux compatible version of 'R' available?

2005-10-24 Thread Γιάννης Δημάκος

On Δευ, Οκτώβριος 24, 2005 11:48, [EMAIL PROTECTED] wrote:

 Hi,
 Is there any 64-bit compatible version of 'R' available?


There is of course the possibility that you can build your own version of
R by obtaining the source and compiling and optimizing for your own 64-bit
processor.

IKD
-- 
Ioannis C. Dimakos
University of Patras
Department of Elementary Education
Patras, GR-26500 GREECE
http://www.elemedu.upatras.gr/dimakos/
http://yannishome.port5.com/

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Re: [R] Errors occured

2005-10-24 Thread Roger Bivand
On Sun, 23 Oct 2005, Leaf Sun wrote:

 Hi all,
 
 Has anybody have the experience in the errors:
 
 Error in data.frame(..., check.names=FALSE): arguments imply differing
 number of rows: 343,15
 
 This is the error occured in the middle of the program. I don't think
 the data frame has any problem, if there is problem with the program,
 why it happened in the middle?

Further to Uwe's advice, looking at the traceback() output may give you an 
idea of what is going wrong, and if your script is adequately written, 
using debug() on the function in which the error occurs will let you 
examine what is being passed to data.frame() before the error happens.

 
 Does anybody have such an experience? It seems so weird to me.
 
 Thanks a lot!
 
 Leaf
 
 

-- 
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: [EMAIL PROTECTED]

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[R] tk problem with R 2.2.0 on wine/linux

2005-10-24 Thread Hin-Tak Leung
Actually I am trying to run sciview-R and encounted some problems with
tk, and I thought I'll check the basic library(tcltk) functionallity,
just to be sure. Anybody seen that  '[tcl] bad window path name .1.'
message before?

Prof. Philippe Grosjean: yes, I have managed to load most of
sciview-R under Wine, except the tcltk library!

===
R : Copyright 2005, The R Foundation for Statistical Computing
Version 2.2.0  (2005-10-06 r35749)
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

   Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for a HTML browser interface to help.
Type 'q()' to quit R.

[Previously saved workspace restored]

  library(tcltk)
Loading Tcl/Tk interface ... done
  demo(tkdensity)


 demo(tkdensity)
  ~

Type  Return   to start :

  require(tcltk) || stop(tcltk support is absent)
[1] TRUE

  require(graphics)
[1] TRUE

  require(stats)
[1] TRUE

  local({
 y - NULL
 xlim - NULL
 size - tclVar(50.00)
 dist - tclVar(1.00)
 kernel - tclVar(gaussian)
 bw - tclVar(1.00)
 bw.sav - 1.00
 replot - function(...) {
 if (is.null(y))
 re  [TRUNCATED]
Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), 
class = tclObj) :
 [tcl] bad window path name .1.
  demo(tkttest)


 demo(tkttest)
  ~~~

Type  Return   to start :

  require(tcltk) || stop(tcltk support is absent)
[1] TRUE

  require(stats)
[1] TRUE

  local({
 dialog.t.test - function() {
 tt - tktoplevel()
 tkwm.title(tt, t test)
 x.entry - tkentry(tt, textvariable = xvar)
 y.entry - tkentry(tt, textvariable = yvar)
 alt - tclVar(two.sided)
 d  [TRUNCATED]
**
  The source for this demo can be found in the file:
  C:/PROG~FBU/R/R-2_~MVR.0/library/tcltk/demo/tkttest.R
**
Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), 
class = tclObj) :
 [tcl] bad window path name .2.
 

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Re: [R] tk problem with R 2.2.0 on wine/linux

2005-10-24 Thread Philippe Grosjean
Hello,

This is interresting. I think you did the big part of the job if 
SciViews-R is starting. tcltk is used independently from the rest of 
SciViews-R, for some dialog boxes and for R Commander. I think you 
should try now to run tcltk on the plain RGui.exe under wine. I guess it 
will eliminate various possible interferences... and then, if you 
succeed, go back to RGui + SciViews-R + tcltk under Wine.

Unfortunatelly, I cannot help you much here (except if I have some code 
to change for a better behaviour of SciViews-R under Wine).

For the use of tcltk with RGui.exe under Wine, the best person to 
contact is the tcltk maintainer, that is, Peter Dalgaard.

Best,

Philippe Grosjean

P.S.: What about the performances of R / SciViews-R under Wine???

..°}))
  ) ) ) ) )
( ( ( ( (Prof. Philippe Grosjean
  ) ) ) ) )
( ( ( ( (Numerical Ecology of Aquatic Systems
  ) ) ) ) )   Mons-Hainaut University, Pentagone (3D08)
( ( ( ( (Academie Universitaire Wallonie-Bruxelles
  ) ) ) ) )   8, av du Champ de Mars, 7000 Mons, Belgium
( ( ( ( (
  ) ) ) ) )   phone: + 32.65.37.34.97, fax: + 32.65.37.30.54
( ( ( ( (email: [EMAIL PROTECTED]
  ) ) ) ) )
( ( ( ( (web:   http://www.umh.ac.be/~econum
  ) ) ) ) )  http://www.sciviews.org
( ( ( ( (
..

Hin-Tak Leung wrote:
 Actually I am trying to run sciview-R and encounted some problems with
 tk, and I thought I'll check the basic library(tcltk) functionallity,
 just to be sure. Anybody seen that  '[tcl] bad window path name .1.'
 message before?
 
 Prof. Philippe Grosjean: yes, I have managed to load most of
 sciview-R under Wine, except the tcltk library!
 
 ===
 R : Copyright 2005, The R Foundation for Statistical Computing
 Version 2.2.0  (2005-10-06 r35749)
 ISBN 3-900051-07-0
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
 Type 'license()' or 'licence()' for distribution details.
 
   Natural language support but running in an English locale
 
 R is a collaborative project with many contributors.
 Type 'contributors()' for more information and
 'citation()' on how to cite R or R packages in publications.
 
 Type 'demo()' for some demos, 'help()' for on-line help, or
 'help.start()' for a HTML browser interface to help.
 Type 'q()' to quit R.
 
 [Previously saved workspace restored]
 
   library(tcltk)
 Loading Tcl/Tk interface ... done
   demo(tkdensity)
 
 
 demo(tkdensity)
  ~
 
 Type  Return   to start :
 
   require(tcltk) || stop(tcltk support is absent)
 [1] TRUE
 
   require(graphics)
 [1] TRUE
 
   require(stats)
 [1] TRUE
 
   local({
 y - NULL
 xlim - NULL
 size - tclVar(50.00)
 dist - tclVar(1.00)
 kernel - tclVar(gaussian)
 bw - tclVar(1.00)
 bw.sav - 1.00
 replot - function(...) {
 if (is.null(y))
 re  [TRUNCATED]
 Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), 
 class = tclObj) :
 [tcl] bad window path name .1.
   demo(tkttest)
 
 
 demo(tkttest)
  ~~~
 
 Type  Return   to start :
 
   require(tcltk) || stop(tcltk support is absent)
 [1] TRUE
 
   require(stats)
 [1] TRUE
 
   local({
 dialog.t.test - function() {
 tt - tktoplevel()
 tkwm.title(tt, t test)
 x.entry - tkentry(tt, textvariable = xvar)
 y.entry - tkentry(tt, textvariable = yvar)
 alt - tclVar(two.sided)
 d  [TRUNCATED]
 **
  The source for this demo can be found in the file:
  C:/PROG~FBU/R/R-2_~MVR.0/library/tcltk/demo/tkttest.R
 **
 Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), 
 class = tclObj) :
 [tcl] bad window path name .2.
  
 
 


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[R] locfit: simultaneous confidence band

2005-10-24 Thread Michael Gälger
I'm using the package 'locfit' for nonparametric regression. This package
contains the function 'scb' to compute simultaneous confidence bands. 
The variance of the data is unknown. Up to now I compute a fit with
'locfit'. Afterwards an estimate of the residual variance is computed by the
function 'rv'. The weights in the 'scb'-function are set 1/sigma^2 to
compute the confidence band.
Is this procedure correct or is there any other way to compute confidence
bands with unknown variance?

Thanks very much for any help you can offer. 

Michael Gälger

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Re: [R] tk problem with R 2.2.0 on wine/linux

2005-10-24 Thread Hin-Tak Leung
Philippe Grosjean wrote:
 Hello,
 
 This is interresting. I think you did the big part of the job if 
 SciViews-R is starting. tcltk is used independently from the rest of 
 SciViews-R, for some dialog boxes and for R Commander. I think you 
 should try now to run tcltk on the plain RGui.exe under wine. I guess it 
 will eliminate various possible interferences... and then, if you 
 succeed, go back to RGui + SciViews-R + tcltk under Wine.

This is what I am trying to do - it seems to be some interaction to
the windows manager. I tried running library(tcltk); demo(tkdensity)
under native R on linux - it works, but on exit from R, I get a bunch of 
warning messages like this:

Warning messages:
1: X11 protocol error: BadWindow (invalid Window parameter)
2: X11 protocol error: BadWindow (invalid Window parameter)
3: X11 protocol error: BadWindow (invalid Window parameter)
4: X11 protocol error: BadWindow (invalid Window parameter)
5: X11 protocol error: BadWindow (invalid Window parameter)
6: X11 protocol error: BadWindow (invalid Window parameter)
7: X11 protocol error: BadWindow (invalid Window parameter)
8: X11 protocol error: BadWindow (invalid Window parameter)
9: X11 protocol error: BadWindow (invalid Window parameter)
10: X11 protocol error: BadWindow (invalid Window parameter)

So it seems the tcltk is doing something not quite correct, and
the problem is serious enough under wine to stop the whole thing.

 Unfortunatelly, I cannot help you much here (except if I have some code 
 to change for a better behaviour of SciViews-R under Wine).
 
 For the use of tcltk with RGui.exe under Wine, the best person to 
 contact is the tcltk maintainer, that is, Peter Dalgaard.
 
 Best,
 
 Philippe Grosjean
 
 P.S.: What about the performances of R / SciViews-R under Wine???

It is quite useable - I think screen refreshes and updates are 
significantly slower, so don't expect to do animations, but the Rgui
and Rconsole are not noticeably slower than native.

 
 ..°}))
  ) ) ) ) )
 ( ( ( ( (Prof. Philippe Grosjean
  ) ) ) ) )
 ( ( ( ( (Numerical Ecology of Aquatic Systems
  ) ) ) ) )   Mons-Hainaut University, Pentagone (3D08)
 ( ( ( ( (Academie Universitaire Wallonie-Bruxelles
  ) ) ) ) )   8, av du Champ de Mars, 7000 Mons, Belgium
 ( ( ( ( (
  ) ) ) ) )   phone: + 32.65.37.34.97, fax: + 32.65.37.30.54
 ( ( ( ( (email: [EMAIL PROTECTED]
  ) ) ) ) )
 ( ( ( ( (web:   http://www.umh.ac.be/~econum
  ) ) ) ) )  http://www.sciviews.org
 ( ( ( ( (
 ..
 
 Hin-Tak Leung wrote:
 
 Actually I am trying to run sciview-R and encounted some problems with
 tk, and I thought I'll check the basic library(tcltk) functionallity,
 just to be sure. Anybody seen that  '[tcl] bad window path name .1.'
 message before?

 Prof. Philippe Grosjean: yes, I have managed to load most of
 sciview-R under Wine, except the tcltk library!

 ===
 R : Copyright 2005, The R Foundation for Statistical Computing
 Version 2.2.0  (2005-10-06 r35749)
 ISBN 3-900051-07-0

 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
 Type 'license()' or 'licence()' for distribution details.

   Natural language support but running in an English locale

 R is a collaborative project with many contributors.
 Type 'contributors()' for more information and
 'citation()' on how to cite R or R packages in publications.

 Type 'demo()' for some demos, 'help()' for on-line help, or
 'help.start()' for a HTML browser interface to help.
 Type 'q()' to quit R.

 [Previously saved workspace restored]

   library(tcltk)
 Loading Tcl/Tk interface ... done
   demo(tkdensity)


 demo(tkdensity)
  ~

 Type  Return   to start :

   require(tcltk) || stop(tcltk support is absent)
 [1] TRUE

   require(graphics)
 [1] TRUE

   require(stats)
 [1] TRUE

   local({
 y - NULL
 xlim - NULL
 size - tclVar(50.00)
 dist - tclVar(1.00)
 kernel - tclVar(gaussian)
 bw - tclVar(1.00)
 bw.sav - 1.00
 replot - function(...) {
 if (is.null(y))
 re  [TRUNCATED]
 Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), 
 class = tclObj) :
 [tcl] bad window path name .1.
   demo(tkttest)


 demo(tkttest)
  ~~~

 Type  Return   to start :

   require(tcltk) || stop(tcltk support is absent)
 [1] TRUE

   require(stats)
 [1] TRUE

   local({
 dialog.t.test - function() {
 tt - tktoplevel()
 tkwm.title(tt, t test)
 x.entry - tkentry(tt, textvariable = xvar)
 y.entry - tkentry(tt, textvariable = yvar)
 alt - tclVar(two.sided)
 d  [TRUNCATED]
 **
  The source for this demo can be found in the file:
  

Re: [R] Male and female symbols?

2005-10-24 Thread Ted Harding
On 24-Oct-05 Barry Rowlingson wrote:
 (Ted Harding) wrote:
 
 For example -- though I'm not seriously saying I need this --
 in a population study of faxes and rabbits surveyed over several
 years, one might wish to plot the Rabbit population using tiny
 rabbits as points, and foxes' heads for the Fox population.
 
   I cant help thinking now of the graphic shown on the 'Brass Eye' 
 comedy show on Animal Cruelty. Cue totally over-the-top 3d zooming 
 barchart with mad lighting effects, and voice-over:
 
 'If you plot number of animals abused against what makes people 
 cruel versus intelligence of either party, the pattern is so 
 unreadable you might as well draw in a chain of fox heads on sticks.
 And if you do that, an interesting thing happens: the word cruel 
 starts flashing.'
 
   But seriously: you could load in an image with the pixmap package and
 plot with that:
 
 library(pixmap)
 x - read.pnm(system.file(pictures/logo.ppm, package=pixmap)[1])
 plot(1:10,type='n')
 for(i in 1:10){addlogo(x,px=c(i-.2,i+.2),py=c(i-.2,i+.2))}
 
  From there to a chain of fox heads on sticks is a small step.
 
 Baz

Baz, We know what your day job is. But what's the other one,
I begin to wonder?

Cheers,
Ted.



E-Mail: (Ted Harding) [EMAIL PROTECTED]
Fax-to-email: +44 (0)870 094 0861
Date: 24-Oct-05   Time: 10:52:33
-- XFMail --

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Re: [R] Is 64-bit linux compatible version of 'R' available?

2005-10-24 Thread Prof Brian Ripley
On Mon, 24 Oct 2005 [EMAIL PROTECTED] wrote:


 Hi,
 Is there any 64-bit compatible version of 'R' available?

Yes.  See the R-admin manual for how to make one.  There are even 64-bit 
RPMs available.

-- 
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] Pb with function taxo2phylog (package ade4)

2005-10-24 Thread Christophe Girod
Hello

  I'm using the package ade4 to obtain classification from a .txt file. I 
use the following commands:
cronquist - read.table(cronquist.txt, h = T, row.names = 8)
cronquist - as.taxo(cronquist[7:1])
cro.phy - taxo2phylog(cronquist)

in which cronquist.txt is a file with a classification of 218 genus of tree 
species from french Guiana.
We I try to use the function taxo2phylog, I obtain the following error 
message (in French) :
Erreur dans newick2phylog.addtools(res) : la longueur de 'dimnames' [2] 
n'est pas égale à l'étendue du tableau
Error in newick2phylog.addtools(res) : length of dimnames[2] is not equal to 
length of frame

newick2phylog.addtools is a function that is called when taxo2phylog is 
called

when I want to know what is in dimnames[2] I obtain the names of my columns 
: none is missing.

I don't understand what's happening because I've already been using this 
function with other files and I  had no problem
Can someone help me?

Thanks

Christophe Girod

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Re: [R] Pb with function taxo2phylog (package ade4)

2005-10-24 Thread Stéphane Dray
Christophe,
please send emails related to this package to the ade4 list :

http://pbil.univ-lyon1.fr/ADE-4/adelist.html

Merci.

Christophe Girod wrote:

Hello

  I'm using the package ade4 to obtain classification from a .txt file. I 
use the following commands:
cronquist - read.table(cronquist.txt, h = T, row.names = 8)
cronquist - as.taxo(cronquist[7:1])
cro.phy - taxo2phylog(cronquist)

in which cronquist.txt is a file with a classification of 218 genus of tree 
species from french Guiana.
We I try to use the function taxo2phylog, I obtain the following error 
message (in French) :
Erreur dans newick2phylog.addtools(res) : la longueur de 'dimnames' [2] 
n'est pas égale à l'étendue du tableau
Error in newick2phylog.addtools(res) : length of dimnames[2] is not equal to 
length of frame

newick2phylog.addtools is a function that is called when taxo2phylog is 
called

when I want to know what is in dimnames[2] I obtain the names of my columns 
: none is missing.

I don't understand what's happening because I've already been using this 
function with other files and I  had no problem
Can someone help me?

Thanks

Christophe Girod

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-- 
Stéphane DRAY ([EMAIL PROTECTED] )
Laboratoire BBE-CNRS-UMR-5558, Univ. C. Bernard - Lyon I
43, Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France
Tel: 33 4 72 43 27 57   Fax: 33 4 72 43 13 88
http://www.steph280.freesurf.fr/

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[R] query on xtable(Sweave)

2005-10-24 Thread ManuelPerera-Chang




Dear all,

I am exporting to latex a dataframe via xtable(Sweave). My dataframe
includes 4 rows and 4 columns. The first two rows containing real
values(e.g. a laboratory parameter's mean value), and the two rows at the
bottom containing only integers (number of cases).

using display=c('fg','fg','fg','fg') as an argument to xtable I tried to
reach my goal, of presenting the table with numbers formatted with decimal
paces in the upper rows, but with the numbers in the lower rows as integers
(without superfluous commas and decimal places), as shown in the example
below,
Example I:
A B C D
0,52  2,52  0,35  3,63
3,52  6,25  3,62  6,36
11121516
14151618

or another example(II):

A B C D
11,5  12,5  10,4  13,6
3,52  6,25  12,62 16,3
11121516
14151618


The command used was ...

trend_table-xtable(trend.table,caption=Caption,display=c('fg','fg','fg','fg'),size='small')
trend_table

The R help on xtable states that fg displays 'digits' as number of
_significant_ digits. As a result no decimal places are shown in the last
two rows, as expected, but no decimal places are shown neither in the first
two rows, if the real value in the cell is greater than 10, and only 1
decimal place if the value in the cell is lower than 10.
Thus instead of example II, I got in Latex the following data:

A B C D
12131014
3,5   6,3   1316
11121516
14151618

 I would prefer to show 1 additional decimal  in both cases.Thus my
question is how to modify the setting for _significant_ digits(in xtable or
in Sweave??) in order to print values.

thanks for your help,

Manuel





Manuel

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[R] Spearman's Rho Help!

2005-10-24 Thread Suresh Kumar Karanam
Hi,
I have a dataset with four categories of data, the number of samples are not 
the same in each category. I want to find the Spearaman's Rho. Let me give 
an example.
x=(14.22770439,26.49420624,46.7277932,19.02550707,23.37379361,16.97789862,19.77100085,23.11270162,13.72929843,33.54430621,14.4756979,70.15811106,11.22789833,NA,NA,NA)
y=(143.2420241,45.24260203,62.13218994,27.79050219,27.41029595,191.2759927,141.1430225,234.1600259,37.69120463,156.332942,19.98579421,34.77930022,69.9088,21.92539608,NA,NA)
z=(70.28027834,349.7838817,29.81811184,83.48042267,52.47989761,107.7110162,71.24609317,155.6580091,68.37158664,156.3179887,134.8930305,80.25242044,100.5309559,266.4470408,65.4934171,22.86950128)
v=(150.2099947,73.52000706,83.18122348,150.3240468,352.9101222,195.8919089,263.9489287,114.2090369,153.5000165,18.62309563,117.2399949,441.8981252,285.3369951,161.3959985,NA,NA)

I want to find the spearman's rho for this data. To my knowledge spearman's 
rho is for x vs. y or x vs. z or any combination. Is there a spearman's rho 
for the data all together (x y z v)? Please help!
Thanks a bunch.
suresh

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Re: [R] testing non-linear component in mgcv:gam

2005-10-24 Thread Simon Wood
In this case the models being compared are really identical, and the
P-value is meaningless numerical noise.

If your main focus is hypothesis testing and you really need near exact
p-values, then do this sort of testing using unpenalized models. i.e.
don't have mgcv::gam estimate the EDF of the smooth, just use
`s(...,fx=TRUE)' to estimate it unpenalized. This gives horrible point
estimates and excellent p-values.

best,
Simon

 Hi,

 I need further help with my GAMs. Most models I test are very
 obviously non-linear. Yet, to be on the safe side, I report the
 significance of the smooth (default output of mgcv's summary.gam) and
 confirm it deviates significantly from linearity.

 I do the latter by fitting a second model where the same predictor is
 entered without the s(), and then use anova.gam to compare the two. I
 thought this was the equivalent of the default output of anova.gam
 using package gam instead of mgcv.

 I wonder if this procedure is correct because one of my models
 appears to be linear. In fact mgcv estimates df to be exactly 1.0 so
 I could have stopped there. However I inadvertently repeated the
 procedure outlined above. I would have thought in this case the
 anova.gam comparing the smooth and the linear fit would for sure have
 been not significant. To my surprise, P was 6.18e-09!

 Am I doing something wrong when I attempt to confirm the non-
 parametric part a smoother is significant? Here is my example case
 where the relationship does appear to be linear:

 library(mgcv)
  This is mgcv 1.3-7
 Temp - c(-1.38, -1.12, -0.88, -0.62, -0.38, -0.12, 0.12, 0.38, 0.62,
 0.88, 1.12,
 1.38, 1.62, 1.88, 2.12, 2.38, 2.62, 2.88, 3.12, 3.38,
 3.62, 3.88,
 4.12, 4.38, 4.62, 4.88, 5.12, 5.38, 5.62, 5.88, 6.12,
 6.38, 6.62, 6.88,
 7.12, 8.38, 13.62)
 N.sets - c(2, 6, 3, 9, 26, 15, 34, 21, 30, 18, 28, 27, 27, 29, 31,
 22, 26, 24, 23,
  15, 25, 24, 27, 19, 26, 24, 22, 13, 10, 2, 5, 3, 1, 1,
 1, 1, 1)
 wm.sed - c(0.0, 0.016129032, 0.0, 0.062046512,
 0.396459596, 0.189082949,
  0.054757925, 0.142810440, 0.168005168, 0.180804428,
 0.111439628, 0.128799505,
  0.193707937, 0.105921610, 0.103497845, 0.028591837,
 0.217894389, 0.020535469,
  0.080389068, 0.105234450, 0.070213450, 0.050771363,
 0.042074434, 0.102348837,
  0.049748344, 0.019100478, 0.005203125, 0.101711864,
 0.0, 0.0,
  0.014808824, 0.0, 0.22200, 0.16700,
 0.0, 0.0,
  0.0)

 sed.gam - gam(wm.sed~s(Temp),weight=N.sets)
 summary.gam(sed.gam)
  Family: gaussian
  Link function: identity
 
  Formula:
  wm.sed ~ s(Temp)
 
  Parametric coefficients:
  Estimate Std. Error t value Pr(|t|)
  (Intercept)  0.084030.01347   6.241 3.73e-07 ***
  ---
  Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
 
  Approximate significance of smooth terms:
  edf Est.rank F  p-value
  s(Temp)   11 13.95 0.000666 ***
  ---
  Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
 
  R-sq.(adj) =  0.554   Deviance explained = 28.5%
  GCV score = 0.09904   Scale est. = 0.093686  n = 37

 # testing non-linear contribution
 sed.lin - gam(wm.sed~Temp,weight=N.sets)
 summary.gam(sed.lin)
  Family: gaussian
  Link function: identity
 
  Formula:
  wm.sed ~ Temp
 
  Parametric coefficients:
   Estimate Std. Error t value Pr(|t|)
  (Intercept)  0.162879   0.019847   8.207 1.14e-09 ***
  Temp-0.023792   0.006369  -3.736 0.000666 ***
  ---
  Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
 
 
  R-sq.(adj) =  0.554   Deviance explained = 28.5%
  GCV score = 0.09904   Scale est. = 0.093686  n = 37
 anova.gam(sed.lin, sed.gam, test=F)
  Analysis of Deviance Table
 
  Model 1: wm.sed ~ Temp
  Model 2: wm.sed ~ s(Temp)
 Resid. Df Resid. Dev Df  Deviance  F   Pr(F)
  1 3.5000e+01  3.279
  2 3.5000e+01  3.279 5.5554e-10 2.353e-11 0.4521 6.18e-09 ***


 Thanks in advance,


 Denis Chabot

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Re: [R] testing non-linear component in mgcv:gam

2005-10-24 Thread Simon Wood
Looks like a bug in mgcv::summary.gam when the model is strictly
parametric... I'll take a look and fix it. thanks, Simon


 In my original message I mentioned a gam fit that turns out to be a
 linear fit. By curiosity I analysed it with a linear predictor only
 with mgcv package, and then as a linear model. The output was
 identical in both, but the r-sq (adj) was 0.55 in mgcv and 0.26 in
 lm. In lm I hope that my interpretation that 26% of the variance in y
 is explained by the linear relationship with x is valid. Then what
 does r2 mean in mgcv?

 Denis
   summary.gam(lin)

 Family: gaussian
 Link function: identity

 Formula:
 wm.sed ~ Temp

 Parametric coefficients:
   Estimate Std. Error t value Pr(|t|)
 (Intercept)  0.162879   0.019847   8.207 1.14e-09 ***
 Temp-0.023792   0.006369  -3.736 0.000666 ***
 ---
 Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1


 R-sq.(adj) =  0.554   Deviance explained = 28.5%
 GCV score = 0.09904   Scale est. = 0.093686  n = 37


   summary(sed.true.lin)

 Call:
 lm(formula = wm.sed ~ Temp, weights = N.sets)

 Residuals:
  Min  1Q  Median  3Q Max
 -0.6138 -0.1312 -0.0325  0.1089  1.1449

 Coefficients:
   Estimate Std. Error t value Pr(|t|)
 (Intercept)  0.162879   0.019847   8.207 1.14e-09 ***
 Temp-0.023792   0.006369  -3.736 0.000666 ***
 ---
 Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1

 Residual standard error: 0.3061 on 35 degrees of freedom
 Multiple R-Squared: 0.285,Adjusted R-squared: 0.2646
 F-statistic: 13.95 on 1 and 35 DF,  p-value: 0.000666


 Le 05-10-05 à 09:45, John Fox a écrit :

  Dear Denis,
 
  Take a closer look at the anova table: The models provide identical
  fits to
  the data. The differences in degrees of freedom and deviance
  between the two
  models are essentially zero, 5.5554e-10 and 2.353e-11 respectively.
 
  I hope this helps,
   John
 
  
  John Fox
  Department of Sociology
  McMaster University
  Hamilton, Ontario
  Canada L8S 4M4
  905-525-9140x23604
  http://socserv.mcmaster.ca/jfox
  
 
 
  -Original Message-
  From: [EMAIL PROTECTED]
  [mailto:[EMAIL PROTECTED] On Behalf Of Denis Chabot
  Sent: Wednesday, October 05, 2005 8:22 AM
  To: r-help@stat.math.ethz.ch
  Subject: [R] testing non-linear component in mgcv:gam
 
  Hi,
 
  I need further help with my GAMs. Most models I test are very
  obviously non-linear. Yet, to be on the safe side, I report
  the significance of the smooth (default output of mgcv's
  summary.gam) and confirm it deviates significantly from linearity.
 
  I do the latter by fitting a second model where the same
  predictor is entered without the s(), and then use anova.gam
  to compare the two. I thought this was the equivalent of the
  default output of anova.gam using package gam instead of mgcv.
 
  I wonder if this procedure is correct because one of my
  models appears to be linear. In fact mgcv estimates df to be
  exactly 1.0 so I could have stopped there. However I
  inadvertently repeated the procedure outlined above. I would
  have thought in this case the anova.gam comparing the smooth
  and the linear fit would for sure have been not significant.
  To my surprise, P was 6.18e-09!
 
  Am I doing something wrong when I attempt to confirm the non-
  parametric part a smoother is significant? Here is my example
  case where the relationship does appear to be linear:
 
  library(mgcv)
 
  This is mgcv 1.3-7
 
  Temp - c(-1.38, -1.12, -0.88, -0.62, -0.38, -0.12, 0.12,
  0.38, 0.62, 0.88, 1.12,
  1.38, 1.62, 1.88, 2.12, 2.38, 2.62, 2.88, 3.12,
  3.38, 3.62, 3.88,
  4.12, 4.38, 4.62, 4.88, 5.12, 5.38, 5.62, 5.88,
  6.12, 6.38, 6.62, 6.88,
  7.12, 8.38, 13.62)
  N.sets - c(2, 6, 3, 9, 26, 15, 34, 21, 30, 18, 28, 27, 27,
  29, 31, 22, 26, 24, 23,
   15, 25, 24, 27, 19, 26, 24, 22, 13, 10, 2, 5, 3,
  1, 1, 1, 1, 1) wm.sed - c(0.0, 0.016129032,
  0.0, 0.062046512, 0.396459596, 0.189082949,
   0.054757925, 0.142810440, 0.168005168,
  0.180804428, 0.111439628, 0.128799505,
   0.193707937, 0.105921610, 0.103497845,
  0.028591837, 0.217894389, 0.020535469,
   0.080389068, 0.105234450, 0.070213450,
  0.050771363, 0.042074434, 0.102348837,
   0.049748344, 0.019100478, 0.005203125,
  0.101711864, 0.0, 0.0,
   0.014808824, 0.0, 0.22200,
  0.16700, 0.0, 0.0,
   0.0)
 
  sed.gam - gam(wm.sed~s(Temp),weight=N.sets)
  summary.gam(sed.gam)
 
  Family: gaussian
  Link function: identity
 
  Formula:
  wm.sed ~ s(Temp)
 
  Parametric coefficients:
  Estimate Std. Error t value Pr(|t|)
  (Intercept)  0.084030.01347   6.241 3.73e-07 ***
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 
  Approximate significance of smooth terms:
  

Re: [R] Spearman's Rho Help!

2005-10-24 Thread Frank E Harrell Jr
Suresh Kumar Karanam wrote:
 Hi,
 I have a dataset with four categories of data, the number of samples are not 
 the same in each category. I want to find the Spearaman's Rho. Let me give 
 an example.
 x=(14.22770439,26.49420624,46.7277932,19.02550707,23.37379361,16.97789862,19.77100085,23.11270162,13.72929843,33.54430621,14.4756979,70.15811106,11.22789833,NA,NA,NA)
 y=(143.2420241,45.24260203,62.13218994,27.79050219,27.41029595,191.2759927,141.1430225,234.1600259,37.69120463,156.332942,19.98579421,34.77930022,69.9088,21.92539608,NA,NA)
 z=(70.28027834,349.7838817,29.81811184,83.48042267,52.47989761,107.7110162,71.24609317,155.6580091,68.37158664,156.3179887,134.8930305,80.25242044,100.5309559,266.4470408,65.4934171,22.86950128)
 v=(150.2099947,73.52000706,83.18122348,150.3240468,352.9101222,195.8919089,263.9489287,114.2090369,153.5000165,18.62309563,117.2399949,441.8981252,285.3369951,161.3959985,NA,NA)
 
 I want to find the spearman's rho for this data. To my knowledge spearman's 
 rho is for x vs. y or x vs. z or any combination. Is there a spearman's rho 
 for the data all together (x y z v)? Please help!
 Thanks a bunch.
 suresh
 
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In the Hmisc package see rcorr

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

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[R] aggregating using several functions

2005-10-24 Thread Christoph Scherber
Dear R users,

I would like to aggregate a data frame using several functions at once 
(e.g., mean plus standard error).

How can I make this work using aggregate()?  The help file says scalar 
functions are needed; can anyone help?

Below is the code for my meanse function which I´d like to use like this:

aggregate(dataframe, list(factorA,factoB),meanse)

Thanks for your help!
Christoph





meanse-function(x,...,na.rm=T){
if(na.rm)
x-x[!is.na(x)]
m-mean(x)
s-sd(x)
l-length(x)
serr-s/sqrt(l)
return(data.frame(list(Mean=m,Std.Error=serr)))
}

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[R] R Reference Card (especially useful for Newbies)

2005-10-24 Thread Berton Gunter
 

Newbies (and others!) may find useful the R Reference Card made available by
Tom Short and Rpad at http://www.rpad.org/Rpad/Rpad-refcard.pdf  or through
the Contributed link on CRAN (where some other reference cards are also
linked). It categorizes and organizes a bunch of R's basic, most used
functions so that they can be easily found. For example, paste() is under
the Strings heading and expand.grid() is under Data Creation. For
newbies struggling to find the right R function as well as veterans who
can't quite remember the function name, it's very handy.
 
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
 
The business of the statistician is to catalyze the scientific learning
process.  - George E. P. Box

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Re: [R] reading data from a pdf

2005-10-24 Thread Jean Eid

Hi,

In my experience pdftotext did not do a very good job at this because it 
screws up the formatting of tables. This of course depends on what 
program the pdf document was originally constructed with. What I found 
most appealing is the use of cut and paste into xemacs or emacs and use 
M-x  canonically-space-region function. This  will eliminate any extra 
spaces. However if the pdf document was prepared through scanning and 
one uses a  character recognition program, then all is up in the air and 
the formatting of tables have to be done by hand.

Jean
[EMAIL PROTECTED] wrote:

Hi, I'm trying to read data from a PDF file.Is it possible to do it
with R? Thanks,  Marco



If cut and paste to a text file fails, try this:

pdftotext (from the xpdf project)

or

http://pdftohtml.sourceforge.net
pdftohtml is a utility which converts PDF files into HTML and
XML formats

In addition, pdftk, the command line pdf toolkit may be useful
http://www.accesspdf.com/pdftk/

  


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[R] Compilation package error

2005-10-24 Thread Poizot Emmanuel

Dear all,
I tried to install gstat package and add the following compilation error :


* Installing *source* package 'gstat' ...
creating cache ./config.cache
checking for gcc... gcc
checking whether the C compiler (gcc  ) works... yes
checking whether the C compiler (gcc  ) is a cross-compiler... no
checking whether we are using GNU C... yes
checking whether gcc accepts -g... yes
checking how to run the C preprocessor... gcc -E
checking for AIX... no
checking for minix/config.h... no
checking for POSIXized ISC... no
checking for ANSI C header files... yes
checking for working const... yes
checking whether time.h and sys/time.h may both be included... yes
checking for 8-bit clean memcmp... yes
checking for vprintf... yes
checking for strstr... yes
checking for strtod... yes
checking for strtol... yes
checking for drand48... yes
checking for gettimeofday... yes
checking whether byte ordering is bigendian... no
checking for memory.h... yes
checking for ANSI C header files... (cached) yes
checking for gcc option to accept ANSI C...
checking for function prototypes... yes
checking for working const... (cached) yes
checking for complex.h... yes
checking for malloc.h... yes
checking for varargs.h... no
checking for size_t... yes
checking for working const... (cached) yes
checking whether byte ordering is bigendian... (cached) no
checking for u_int
computing machine epsilon(s)
gcc -o macheps ./src/meschach/dmacheps.c
gcc -o macheps ./src/meschach/fmacheps.c
computing M_MAX_INT
gcc -o maxint maxint.c
./src/meschach/maxint.c: In function 'main':
./src/meschach/maxint.c:37: warning: incompatible implicit declaration 
of built-in function 'printf'

checking char \\0 vs. float zeros
checking for bcopy... yes
checking for bzero... yes
checking for function prototypes
checking for function prototypes in structures
updating cache ./config.cache
creating ./config.status
creating makefile
creating src/config.h
creating src/machine.h
** libs
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c block.c 
-o block.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c 
chfactor.c -o chfactor.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c copy.c 
-o copy.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c data.c 
-o data.o

/tmp/ccXDZili.s: Messages de l'assembleur:
/tmp/ccXDZili.s:8032: ERREUR: Opérande de relocalisation inconnue: 
!lituse_jsrdirect

make: *** [data.o] Erreur 1
ERROR: compilation failed for package 'gstat'
** Removing '/usr/local/lib/R/site-library/gstat'
** Restoring previous '/usr/local/lib/R/site-library/gstat'
---

R run on a dec alpha station under Debian Sarge 64 bits (alpha version 
of course).

Compiler version is gcc 4.0.2.

Regards



Emmanuel Poizot
Cnam/Intechmer
B.P. 324
50103 Cherbourg Cedex

Phone (Direct) : (00 33)(0)233887342
Fax : (00 33)(0)233887339


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Re: [R] finite mixture model (2-component gaussian): plotting component gaussian components?

2005-10-24 Thread Karen.Green
Dear R Community,

I was finally able to figure out how to plot the components of
the finite mixture model.

Because it was not obvious, I am including the script here --
in case anyone in the future also needs to do this.

Karen
---
Karen M. Green, Ph.D.
Research Investigator
Drug Design Group
Sanofi Aventis Pharmaceuticals
Tucson, AZ, USA

#
# name: testMclust1Dplot
#
# date:  23 October 2005
#
# status:validated
#
# dependencies:  package mclust
#
# purpose:  to test the mclust1Dplot function 
#  to test the plot of components
#
# (0) preliminaries
##
library(mclust)

##
# (1) get some data
##
data(faithful)

attach(faithful)
eruptions-sort(eruptions)
eruptions-data.frame(eruptions)
eruptions-as.numeric(eruptions$eruptions)
detach(faithful)

##
# (2) get model
##
MyMixtureModel-summary(EMclust(eruptions),eruptions)

##
# (3) plot mixture model
##

attach(MyMixtureModel)
mclust1Dplot(data=eruptions,z=z,mu=mu,sigmasq=sigmasq,pro=pro,ask=FALSE,type=c(density))
do.call(mclust1Dplot,c(list(data=eruptions,ask=FALSE,type=c(density)),MyMixtureModel))
detach(MyMixtureModel)

##
# (4) plot components
##
temp - cdens(modelName = 
MyMixtureModel$modelName,data=eruptions,mu=MyMixtureModel$mu,
sigmasq=MyMixtureModel$sigmasq,decomp=MyMixtureModel$decomp)

MyMixtureComponents-cbind(eruptions,temp)
colnames(MyMixtureComponents)-c(eruptions,component1,component2,component3,component4)

MyMixtureComponents-data.frame(MyMixtureComponents)
MyMixtureComponents$eruptions-as.numeric(MyMixtureComponents$eruptions)

attach(MyMixtureComponents)
lines(x=eruptions,y=component1*MyMixtureModel$pro[1],type=l,col=red)
lines(x=eruptions,y=component2*MyMixtureModel$pro[2],type=l,col=red)
lines(x=eruptions,y=component3*MyMixtureModel$pro[3],type=l,col=red)
lines(x=eruptions,y=component4*MyMixtureModel$pro[4],type=l,col=red)

detach(MyMixtureComponents)
#
  -Original Message-
 From: Green, Karen M. PH/US  
 Sent: Thursday, October 20, 2005 6:42 PM
 To:   '[EMAIL PROTECTED]'; '[EMAIL PROTECTED]'
 Cc:   Green, Karen M. PH/US
 Subject:  finite mixture model (2-component gaussian):  plotting 
 component gaussian components?
 Importance:   High
 
 Dear Knowledgeable R Community Members,
 
 Please excuse my ignorance, I apologize in advance if this is an easy 
 question, but I am a bit stumped and could use a little guidance.
 
 I have a finite mixture modeling problem -- for example, a 2-component 
 gaussian mixture -- where the components have a large overlap, and 
 I am trying to use the mclust package to solve this problem.  
 
 I need to decompose that mixture into its 2 components which will need to be 
 plotted.
 
 What I don't know how to do is:
 
 (1) restrict the number of components to 2 in the EMclust function
 
 (2) obtain and plot a component gaussian density 
 
 Regarding (1), I think this should be the 'G' value but the documentation is 
 somewhat cryptic as regards the format.
 Regarding (2), I think I need to use the cdens function, but again the 
 documentation is somewhat cryptic.
 
 Here is a little test script to illustrate.  (Note: my real dataset will not 
 have peaks this well separated, but I needed to find a small example.) 
 
 ##
 # (1) get some data
 ##
 data(faithful)
 
 ##
 # (2) get model
 ##
 library(mclust)
 MyMixtureModel-summary(EMclust(faithful$eruptions),faithful$eruptions)
 
 ##
 # (3) plot mixture model
 ##
 attach(MyMixtureModel)
 mclust1Dplot(data=faithful$eruptions,z=z,mu=mu,sigmasq=sigmasq,pro=pro,ask=FALSE,type=c(density))
 do.call(mclust1Dplot,c(list(data=faithful$eruptions,ask=FALSE,type=c(density)),MyMixtureModel))
 
 ##
 # (4) plot components
 ##
 ???
 
 Any information you might be able to shed on this would be very much 
 appreciated.
 
 With appreciation for your help,
 
 Karen
 ---
 Karen M. Green, Ph.D.
 Research Investigator
 Drug Design Group
 Sanofi Aventis Pharmaceuticals
 Tucson, AZ
 USA
 

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[R] Implicit nonlinear equation

2005-10-24 Thread Florent Bresson
I can't find a commande to solve an implicit nonlinear
equation. Does it exist please ?

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[R] SOM object manupulation

2005-10-24 Thread Nayeem Quayum
I am trying to use SOM package to cluster some gene expression data. I got
stuck with 2 questions and can't not find any documents to resolve these
matters. I would really appreciate if anybody can shed some sort of light. Q1.
I clustered the data using SOM function and plotted it using plot function.
But I can't figure out how I can list the data elements belongs to different
clusters. I made a 5X5 SOM grid and there are 25 clusters. The plot tells me
how many data elements belongs to this different cluster grids but I want to
make separate list of them. I don't know how to deal with the
SOM.objectfrankly speaking.
Q2. The SOM package listed 5 functions
som.init
som
som.train
som.update and
som.project
I was wondering to get the best result in what order I should apply them?
Should I first initialize the som using som.init, then train it with
som.train and finally update it with som.update? Or just use som function
followed by som.update? As I have only one set of data I don't think I need
to use project function.
Thanks in advance and regards.

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Re: [R] Any way to add to data frame saved as .rData file?

2005-10-24 Thread Ken Termiso

thx everyone for your help...for simplicity, i elected to stay with a text 
file and transpose it so that each new row of data is really a column...in 
this transposed file, the header is really the row labels. the first cell 
has the name of the row labels (RowID in this case)...

here's code for what i ended up doing, in case anyone wants it (or wants to 
improve it) :


outfile - mydata.txt

zz - file(outfile, w)

rowlabels - c(1:1)

cat(c(RowID, rowlabels, \n), file = zz, sep = \t)   # make the first 
row of the file have the row labels

grep_text - function(s)   # 's' is a unique string that is contained in the 
col or cols that you want
{
temp_header - scan(file = outfile, what = list(RowID), flush = TRUE)
temp_header - unlist(temp_header)
g - grep(toString(s), temp_header)  # gives the row number in outfile 
with 
the data you want

if(length(g)==1)
{
temp_file - scan(file = outfile, what = character(), skip = 
g-1, nlines = 
1)  # temp_file = a vector
temp_file - temp_file[2:length(temp_file)]  # drop title
temp_file - as.numeric(temp_file)  # now this is num vector
tf_df - as.data.frame(temp_file)
}

if(length(g)1)
{
for(i in 1:length(g))
{
temp_file - scan(file = outfile, what = character(), 
skip = g[i]-1, 
nlines = 1)
temp_file - temp_file[2:length(temp_file)]  # drop 
title
temp_file - as.numeric(temp_file)  # now this is num 
vector

if(i==1)
{
tf_df - as.data.frame(temp_file)
}

if(i!=1)
{
tf_df[i] - temp_file
}
}
}

return(tf_df)
}


you would use grep_text(s) to return a data frame with column titles 
contained in the string s...if i had a column named Year05_population in 
the mydata.txt file, to return a data frame named 'df' with only that one 
column titles Year05_population i would simply type :

outfile - mydata.txt
df - grep_text(Year05_population)



From: Greg Snow [EMAIL PROTECTED]
To: [EMAIL PROTECTED],[EMAIL PROTECTED]
CC: [EMAIL PROTECTED],r-help@stat.math.ethz.ch
Subject: Re: [R] Any way to add to data frame saved as .rData file?
Date: Thu, 13 Oct 2005 12:53:10 -0600

Have you looked at the g.data package?  It might be useful
(but may still require some redesign of your dataset).

Greg Snow, Ph.D.
Statistical Data Center, LDS Hospital
Intermountain Health Care
[EMAIL PROTECTED]
(801) 408-8111

  Ken Termiso [EMAIL PROTECTED] 10/13/05 08:14AM 

 
 I'd put the extra columns in their own data frame, and save that to
disk
 (use dates/times/process ids or some other unique identifier in the
 filenames to distinguish them).  When you need access to a mixture of

 columns, load (or source, depending how you did the save) the columns
you
 need, and cbind them together into one big data frame.
 
 If you are concerned about memory requirements when producing the
pieces,
 watch out that you don't write out so much data that you'll never have

 enough memory to load all you need at once.
 
 Duncan Murdoch


hmm...maybe i should just be dumping to a text file instead of a data
frame..is there any way (without using a real SQL database) in R to
create a
file that i can selectively load certain columns from?

if not, maybe i should break the data frame up into pieces (as you
suggested) and create a separate file that keeps track of which columns
are
stored in which files (like a hashtable) and just load the small file
of
keys each time i need to load something..

whaddya think??

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[R] Problems with pf() with certain noncentral values/degrees of freedom combinations

2005-10-24 Thread Ken Kelley
Hello all.

It seems that the pf() function when used with noncentral parameters can 
behave badly at times. I've included some examples below, but what is 
happening is that with some combinations of df and ncp parameters, 
regardless of how large the quantile gets, the same probability value is 
returned. Upon first glance noncentral values greater than 200 may seem 
large, but they are in some contexts not large at all. The problems with 
pf() can thus have serious implications (for example, in the context of 
sample size planning).

I noticed that in in 1999 and 2000 issues with large degrees of freedom 
came about (PR#138), but I couldn't find the present issue reported 
anywhere.

Might there be a way to make the algorithm more stable? I'm not sure how 
difficult this issue might be to fix, but hopefully it won't be too bad 
and can be easily done. Any thoughts on a workaround until then?

Thanks,
Ken Kelley

# Begin example code
X - seq(10, 600, 10)

# Gets stuck at .99135

round(pf(X, 10, 1000, 225), 5)
round(pf(X, 10, 200, 225), 5)

round(pf(X, 5, 1000, 225), 5)
round(pf(X, 5, 200, 225), 5)

round(pf(X, 1, 1000, 225), 5)
round(pf(X, 1, 200, 225), 5)

# Gets stuck at .97035

round(pf(X, 10, 1000, 250), 5)
round(pf(X, 10, 200, 250), 5)

round(pf(X, 5, 1000, 250), 5)
round(pf(X, 5, 200, 250), 5)

round(pf(X, 1, 1000, 250), 5)
round(pf(X, 1, 200, 250), 5)

# Gets stuck at .93539

round(pf(X, 10, 1000, 275), 5)
round(pf(X, 10, 200, 275), 5)

round(pf(X, 5, 1000, 275), 5)
round(pf(X, 5, 200, 275), 5)

round(pf(X, 1, 1000, 275), 5)
round(pf(X, 1, 200, 275), 5)
# end example code

  version
  _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor2.0
year 2005
month10
day  06
svn rev  35749
language R

-- 
Ken Kelley, Ph.D.
Inquiry Methodology Program
Indiana University
201 North Rose Avenue, Room 4004
Bloomington, Indiana 47405
http://www.indiana.edu/~kenkel

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Re: [R] Compilation package error

2005-10-24 Thread Prof Brian Ripley
This is a compiler error, not an R package error.  Please ask on a 
suitable (Debian?) compiler list.


As a possible hint, when such things happen on Solaris it indicates a 
mis-installed gcc, missing the gnu binutils it depends on.


On Mon, 24 Oct 2005, Poizot Emmanuel wrote:


Dear all,
I tried to install gstat package and add the following compilation error :


* Installing *source* package 'gstat' ...
creating cache ./config.cache
checking for gcc... gcc
checking whether the C compiler (gcc  ) works... yes
checking whether the C compiler (gcc  ) is a cross-compiler... no
checking whether we are using GNU C... yes
checking whether gcc accepts -g... yes
checking how to run the C preprocessor... gcc -E
checking for AIX... no
checking for minix/config.h... no
checking for POSIXized ISC... no
checking for ANSI C header files... yes
checking for working const... yes
checking whether time.h and sys/time.h may both be included... yes
checking for 8-bit clean memcmp... yes
checking for vprintf... yes
checking for strstr... yes
checking for strtod... yes
checking for strtol... yes
checking for drand48... yes
checking for gettimeofday... yes
checking whether byte ordering is bigendian... no
checking for memory.h... yes
checking for ANSI C header files... (cached) yes
checking for gcc option to accept ANSI C...
checking for function prototypes... yes
checking for working const... (cached) yes
checking for complex.h... yes
checking for malloc.h... yes
checking for varargs.h... no
checking for size_t... yes
checking for working const... (cached) yes
checking whether byte ordering is bigendian... (cached) no
checking for u_int
computing machine epsilon(s)
gcc -o macheps ./src/meschach/dmacheps.c
gcc -o macheps ./src/meschach/fmacheps.c
computing M_MAX_INT
gcc -o maxint maxint.c
./src/meschach/maxint.c: In function 'main':
./src/meschach/maxint.c:37: warning: incompatible implicit declaration of 
built-in function 'printf'

checking char \\0 vs. float zeros
checking for bcopy... yes
checking for bzero... yes
checking for function prototypes
checking for function prototypes in structures
updating cache ./config.cache
creating ./config.status
creating makefile
creating src/config.h
creating src/machine.h
** libs
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c block.c -o 
block.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c chfactor.c 
-o chfactor.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c copy.c -o 
copy.o
gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c data.c -o 
data.o

/tmp/ccXDZili.s: Messages de l'assembleur:
/tmp/ccXDZili.s:8032: ERREUR: Opérande de relocalisation inconnue: 
!lituse_jsrdirect

make: *** [data.o] Erreur 1
ERROR: compilation failed for package 'gstat'
** Removing '/usr/local/lib/R/site-library/gstat'
** Restoring previous '/usr/local/lib/R/site-library/gstat'
---

R run on a dec alpha station under Debian Sarge 64 bits (alpha version of 
course).

Compiler version is gcc 4.0.2.

Regards



Emmanuel Poizot
Cnam/Intechmer
B.P. 324
50103 Cherbourg Cedex

Phone (Direct) : (00 33)(0)233887342
Fax : (00 33)(0)233887339





--
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] question about technieque do with large computation

2005-10-24 Thread Uwe Ligges
ronggui wrote:

 The green book tells:The basic technique is classic :keep it simple .A long 
 ,complicated expression or function is less fravorable than a relatively 
 small computations that combines calls to a few other functions to perform 
 its tasks.
 
 But I don't get the point totally.Can anyone give me an example to make me 
 understand this rules totally?
 
 ps:
 Is it mean that f1 is better than f2?  Thank you!
 
 
 f1-function(x){
 n-length(x)
 s-sum(x)
 m-s/n}
 
 f2-
 function(x){
 m-sum(x)/length(x)}  


No, it means collecting sensible small parts of the code into separate
functions as in

f1 - function(x, .){
 x1 - f1a(x, ..)
 x2 - f1b(x1, .)
 x3 - f1a(x2, .)
 f1c(x1, x2, x3, .)
}

which is better than

f2 - function(.){
##
## many lines calculating stuff as in f1a
##
## many lines calculating stuff as in f1b
##
## many lines calculating stuff as in f1a
##
## many lines calculating stuff as in f1c
##
}


Uwe Ligges



 
 2005-10-23
 
 --
 Deparment of Sociology
 Fudan University
 
 My new mail addres is [EMAIL PROTECTED]
 Blog:http://sociology.yculblog.com
 
 
 
 
 
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Re: [R] Strange update behavior of gregmisc

2005-10-24 Thread Uwe Ligges
Googling for gregmisc update points us, e.g., to

http://tolstoy.newcastle.edu.au/~rking/R/devel/05/06/1140.html

Uwe Ligges



Thomas Schönhoff wrote:

 Hello,
 
 I notice an odd behavior of gregmisc package when using
 update.packages() via R --no-save (as root).
 Every time I launch update.packages() gregmisc is repeatedly selected
 for upgrade. Current available version of gregmisc is 2.08 according
 to 'installed.packages()'. Despite I obviousely have already installed
 the most up to date gregmisc,  gregmisc will be updated repeatedly?
 
 No one seems to have noticed a similar behavior like this before
 according to mail archive. All dependencies are seemingly meet and no
 error messages occured, so I am kind of stuck to figure out what
 happens here.
 Here is my update session:
 
 thomas# R --no-save
 
 ---
 
update.packages()
 
 --- Please select a CRAN mirror for use in this session ---
 Loading Tcl/Tk interface ... done
 gregmisc :
  Version 2.0.6 installed in /usr/lib/R/site-library
  Version 2.0.8 available at http://pangora.org/cran
 Update (y/N/c)?  y
 try URL 'http://pangora.org/cran/src/contrib/gregmisc_2.0.8.tar.gz'
 Content type 'application/x-tar' length 901 bytes
 URL opened
 ==
 downloaded 901 bytes
 
 * Installing *source* package 'gregmisc' ...
 No man pages found in package 'gregmisc'
 ** building package indices ...
 * DONE (gregmisc)
 
 The downloaded packages are in
 /tmp/Rtmp4Thydf/downloaded_packages
 --
 
 When I relaunch 'update.packages()' the same as desribed above is
 going to happen again?
 
 Do I miss something?
 
 regards
 
 Thomas
 
 My system (Debian Sarge):
 
 platform i386-pc-linux-gnu
 arch i386
 os   linux-gnu
 system   i386, linux-gnu
 status
 major2
 minor2.0
 year 2005
 month10
 day  06
 svn rev  35749
 language R
 
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Re: [R] Compilation package error

2005-10-24 Thread Miguel A. Arranz
Please, tell us more about the packages and libraries installed. I did compile  
and installed gstat on a machine running sid64 (unstable) with no problems. 
The only thing is that I did not compile with the -mieee-with-inexact switch.

Hope this helps.


On Monday 24 October 2005 17:07, Poizot Emmanuel wrote:
 Dear all,
 I tried to install gstat package and add the following compilation error :

 
 * Installing *source* package 'gstat' ...
 creating cache ./config.cache
 checking for gcc... gcc
 checking whether the C compiler (gcc  ) works... yes
 checking whether the C compiler (gcc  ) is a cross-compiler... no
 checking whether we are using GNU C... yes
 checking whether gcc accepts -g... yes
 checking how to run the C preprocessor... gcc -E
 checking for AIX... no
 checking for minix/config.h... no
 checking for POSIXized ISC... no
 checking for ANSI C header files... yes
 checking for working const... yes
 checking whether time.h and sys/time.h may both be included... yes
 checking for 8-bit clean memcmp... yes
 checking for vprintf... yes
 checking for strstr... yes
 checking for strtod... yes
 checking for strtol... yes
 checking for drand48... yes
 checking for gettimeofday... yes
 checking whether byte ordering is bigendian... no
 checking for memory.h... yes
 checking for ANSI C header files... (cached) yes
 checking for gcc option to accept ANSI C...
 checking for function prototypes... yes
 checking for working const... (cached) yes
 checking for complex.h... yes
 checking for malloc.h... yes
 checking for varargs.h... no
 checking for size_t... yes
 checking for working const... (cached) yes
 checking whether byte ordering is bigendian... (cached) no
 checking for u_int
 computing machine epsilon(s)
 gcc -o macheps ./src/meschach/dmacheps.c
 gcc -o macheps ./src/meschach/fmacheps.c
 computing M_MAX_INT
 gcc -o maxint maxint.c
 ./src/meschach/maxint.c: In function 'main':
 ./src/meschach/maxint.c:37: warning: incompatible implicit declaration
 of built-in function 'printf'
 checking char \\0 vs. float zeros
 checking for bcopy... yes
 checking for bzero... yes
 checking for function prototypes
 checking for function prototypes in structures
 updating cache ./config.cache
 creating ./config.status
 creating makefile
 creating src/config.h
 creating src/machine.h
 ** libs
 gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c block.c
 -o block.o
 gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c
 chfactor.c -o chfactor.o
 gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c copy.c
 -o copy.o
 gcc -I/usr/lib/R/include   -mieee-with-inexact  -fPIC  -g -O2 -c data.c
 -o data.o
 /tmp/ccXDZili.s: Messages de l'assembleur:
 /tmp/ccXDZili.s:8032: ERREUR: Opérande de relocalisation inconnue:
 !lituse_jsrdirect
 make: *** [data.o] Erreur 1
 ERROR: compilation failed for package 'gstat'
 ** Removing '/usr/local/lib/R/site-library/gstat'
 ** Restoring previous '/usr/local/lib/R/site-library/gstat'
 ---

 R run on a dec alpha station under Debian Sarge 64 bits (alpha version
 of course).
 Compiler version is gcc 4.0.2.

 Regards


 
 Emmanuel Poizot
 Cnam/Intechmer
 B.P. 324
 50103 Cherbourg Cedex

 Phone (Direct) : (00 33)(0)233887342
 Fax : (00 33)(0)233887339
 

-- 
*
Miguel A. Arranz
Tol-Project
[EMAIL PROTECTED]

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[R] How to create a new data.frame with all possible observations

2005-10-24 Thread Kevin Wright
I would like to use something like expand.grid to get a data.frame with all
possible combinations of model terms from a formula. For example:

R dat=data.frame(y=rnorm(8),
+ trt=rep(c(A,B),4),
+ state=c(rep(c('IA','NE'),each=4)),
+ county=c('P','P','S','S','J','J','N','N'))
R dat=dat[-1,]
R dat
y trt state county
2 0.36 B IA P
3 0.44 A IA S
4 2.26 B IA S
5 -0.12 A NE J
6 0.84 B NE J
7 -2.11 A NE N
8 -0.69 B NE N

If my model is
model=formula(y~trt+state + county%in%state)

Then I would like to create a data.frame that includes the missing
observation for
A + IA + P %in IA (trt + state + county %in% state)

I currently use expand.grid to get all possible combinations of variables,
then delete impossible combinations like J %in IA. This works, but is a
bit clumsy and I wonder if there is a more general solution.

Ideas welcome.

Kevin Wright

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[R] Out of memory

2005-10-24 Thread Elizabeth Lawson
Hi,
 
I am using gamm and I run out of memory and R crashes.  I have tried to change 
the amount of memory in R using memory.limit as so far the largest it has 
allowed
memory.limit(size=3072)
still ahs this problem.
 
If I try to use max I get the following error
 memory.limit(memory.size(max=TRUE))
Error in memory.size(size) : don't be silly!: your machine has a 4Gb address 
limit

 
Does anyone have any sugestions on how to get more memory ot R?
 
Thanks,
 
Elizabeth Lawson



-

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Re: [R] Out of memory

2005-10-24 Thread Duncan Murdoch
On 10/24/2005 2:27 PM, Elizabeth Lawson wrote:
 Hi,
  
 I am using gamm and I run out of memory and R crashes.  I have tried to 
 change the amount of memory in R using memory.limit as so far the largest it 
 has allowed
 memory.limit(size=3072)
 still ahs this problem.
  
 If I try to use max I get the following error
 memory.limit(memory.size(max=TRUE))
 Error in memory.size(size) : don't be silly!: your machine has a 4Gb address 
 limit
 
  
 Does anyone have any sugestions on how to get more memory ot R?

Notice that those functions report sizes in bytes, but memory.limit 
takes input in megabytes.  That's the reason for the don't be silly 
message.

To get more than 3 GB out of R, you're probably going to have to run a 
64 bit version.  The theoretical limit for 32 bit versions is 4 GB, but 
most OS's reserve 1-2 GB for themselves.

Duncan Murdoch

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[R] Error in step() (or stepAIC) for Cox model

2005-10-24 Thread Li, Jia
Hello all,
 
I am trying to use stepwise procedure to select covariates in Cox model
and use bootstrap to repeat stepwise selection,  then record how many
times  variables  are chosen by step() in bootstrap replications. When I
use step() (or stepAIC) to do model selection, I got errors. Here is the
part of my code
 
for (j in 1:mm){#--mm=10
 
for (b in 1:nrow(reg.bs)){ #--bootstrap 10 times

mi-data.frame(tlfup,cen,complete(imp,j)) #--completed data sets after
MI

in.star-sample(1:n,n,replace=T) #--to sample id number 1-1851.

data.star-mi[in.star,] 

M-coxph(Surv(tlfup,cen)~mi$trt+mi$nodes+mi$htypeed1+mi$htypeed2+mi$ngra
ded2+mi$agem40

+mi$agem40sq+mi$er+mi$pr,data=data.star) 

reg.model-step(M) #--do stepwise selection

reg.step[[b]]-c((reg.model$coef)) #-store selected variables

chosen.vb[[b]]-names(reg.step[[b]]) #--store names of selected
variables

}

tot.vb[[j]]-c(unlist(chosen.vb)) 

}

Error in reg.step[[b]] : subscript out of bounds


varibles-unlist(tot.vb) #--change to a vector

table(varibles)   #--how many times the names have been
selected

Error in sort(unique.default(x), na.last = TRUE) : 
'x' must be atomic


I figure the reason may be that when stepwise procedure selects the
chosen model with no varibles, that is  

Start:  AIC= 12436.85 
 Surv(tlfup, cen) ~ mi$trt + mi$nodes + mi$htypeed1 + mi$htypeed2 +  
mi$ngraded2 + mi$agem40 + mi$agem40sq + mi$er + mi$pr 
 
  Df   AIC
- mi$pr1 12435
- mi$trt   1 12435
- mi$agem40sq  1 12435
- mi$agem401 12435
- mi$htypeed2  1 12435
- mi$nodes 1 12435
- mi$er1 12436
- mi$ngraded2  1 12436
- mi$htypeed1  1 12436
none   12437

Step:  AIC= 12425.91 
 Surv(tlfup, cen) ~ mi$htypeed1 + mi$ngraded2 + mi$er 
 
  Df   AIC
- mi$er1 12425
- mi$ngraded2  1 12425
- mi$htypeed1  1 12426
none   12426

Step:  AIC= 12424.77 
 Surv(tlfup, cen) ~ 1 

then reg.model$coef dosen't exist anymore (am I right?), but I need to
count the variables that are selected by step() in bootstrap
replications, what should I do? 
 
Thanks,
 
Jia

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Re: [R] Strange update behavior of gregmisc

2005-10-24 Thread Thomas Schönhoff
Hello,

2005/10/24, Uwe Ligges [EMAIL PROTECTED]:
 Googling for gregmisc update points us, e.g., to

 http://tolstoy.newcastle.edu.au/~rking/R/devel/05/06/1140.html

Thanks, I totally missed that.

Thomas

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[R] lme and lmer syntax

2005-10-24 Thread Ronaldo Reis-Jr.
Hi,

I have this:

lme(y~x1+x2,random=~1|x1/x2)

How to make this random effect using lmer?

I try this:

lmer(y~x1+x2+(1|x1/x2)

But it dont work.

Any idea?

Thanks
Ronaldo
-- 
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|  V  [UFV/DBA-Entomologia]
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Re: [R] Error in step() (or stepAIC) for Cox model

2005-10-24 Thread Prof Brian Ripley
On Mon, 24 Oct 2005, Li, Jia wrote:

 Hello all,

 I am trying to use stepwise procedure to select covariates in Cox model
 and use bootstrap to repeat stepwise selection,  then record how many
 times  variables  are chosen by step() in bootstrap replications. When I
 use step() (or stepAIC) to do model selection, I got errors. Here is the
 part of my code

 for (j in 1:mm){#--mm=10

 for (b in 1:nrow(reg.bs)){ #--bootstrap 10 times

 mi-data.frame(tlfup,cen,complete(imp,j)) #--completed data sets after
 MI

 in.star-sample(1:n,n,replace=T) #--to sample id number 1-1851.

 data.star-mi[in.star,]

 M-coxph(Surv(tlfup,cen)~mi$trt+mi$nodes+mi$htypeed1+mi$htypeed2+mi$ngra
 ded2+mi$agem40

 +mi$agem40sq+mi$er+mi$pr,data=data.star)

 reg.model-step(M) #--do stepwise selection

 reg.step[[b]]-c((reg.model$coef)) #-store selected variables

 chosen.vb[[b]]-names(reg.step[[b]]) #--store names of selected
 variables

 }

 tot.vb[[j]]-c(unlist(chosen.vb))

 }

 Error in reg.step[[b]] : subscript out of bounds


 varibles-unlist(tot.vb) #--change to a vector

 table(varibles)   #--how many times the names have been
 selected

 Error in sort(unique.default(x), na.last = TRUE) :
'x' must be atomic


 I figure the reason may be that when stepwise procedure selects the
 chosen model with no varibles, that is

 Start:  AIC= 12436.85
 Surv(tlfup, cen) ~ mi$trt + mi$nodes + mi$htypeed1 + mi$htypeed2 +
mi$ngraded2 + mi$agem40 + mi$agem40sq + mi$er + mi$pr

  Df   AIC
 - mi$pr1 12435
 - mi$trt   1 12435
 - mi$agem40sq  1 12435
 - mi$agem401 12435
 - mi$htypeed2  1 12435
 - mi$nodes 1 12435
 - mi$er1 12436
 - mi$ngraded2  1 12436
 - mi$htypeed1  1 12436
 none   12437

 Step:  AIC= 12425.91
 Surv(tlfup, cen) ~ mi$htypeed1 + mi$ngraded2 + mi$er

  Df   AIC
 - mi$er1 12425
 - mi$ngraded2  1 12425
 - mi$htypeed1  1 12426
 none   12426

 Step:  AIC= 12424.77
 Surv(tlfup, cen) ~ 1

 then reg.model$coef dosen't exist anymore (am I right?), but I need to
 count the variables that are selected by step() in bootstrap
 replications, what should I do?

Specify the lower scope suitably.

-- 
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] lme and lmer syntax

2005-10-24 Thread Doran, Harold
Ronaldo

See the article on lmer pasted below for syntax. It is the only current source 
documenting the code. In lmer(), the nesting structure for the ranmdom effects 
is handled in a slightly different way. If your observations are nested as you 
note, then you can use

 lmer(y~x1 + x2 +(1|x1) + (1|x2), data)

@Article{Rnews:Bates:2005,
  author   = {Douglas Bates},
  title= {Fitting Linear Mixed Models in {R}},
  journal  = {R News},
  year = 2005,
  volume   = 5,
  number   = 1,
  pages= {27--30},
  month= {May},
  url  = {http://CRAN.R-project.org/doc/Rnews/},
}

-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Ronaldo Reis-Jr.
Sent: Monday, October 24, 2005 3:56 PM
To: R-Help
Subject: [R] lme and lmer syntax

Hi,

I have this:

lme(y~x1+x2,random=~1|x1/x2)

How to make this random effect using lmer?

I try this:

lmer(y~x1+x2+(1|x1/x2)

But it dont work.

Any idea?

Thanks
Ronaldo
--
System halted!
--
|   // | \\   [***]
|   ( õ   õ )  [Ronaldo Reis Júnior]
|  V  [UFV/DBA-Entomologia]
|/ \   [36570-000 Viçosa - MG  ]
|  /(.''`.)\  [Fone: 31-3899-4007 ]
|  /(: :'  :)\ [EMAIL PROTECTED]]
|/ (`. `'` ) \[ICQ#: 5692561 | LinuxUser#: 205366 ]
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[R] Basic: setting resolution and size of an R graphic

2005-10-24 Thread Dr. med. Peter Robinson
Dear List,

I am sorry if this perhaps a too basic question, but I have not found an
answer in Google or in the R help system. I am trying to use R to do a
very simple analysis of some data (RT-PCR and Western analysis) with a
T-test and
to plot the results as a histogram with error bars. (I have pasted an
example script at the bottom of this mail).
In order to use this for publication, I would like to adjust the
resolution and size of the final image. However, even using file types
such as postscript or pdf that are vector based, I get rather bad-looking
results with
pdf(file=test.pdf)
source(script at bottom of mail)
dev.off()

using either pdf or postscript or jpg devices.


Therefore I would like to ask the list, how to best produce a graphic from
the script below that would fit into one column of a published article and
have a high resolution (as eps, or failing that tiff or png)?
Thanks in advance for any advice,

Peter




## Western.R
## A script to display the results of quantitative Western blotting with 6
repeats each at three dosages.
## This particular script has data from stimulation of fibroblasts with M-wt.


# --   CONVENIENCE FUNCTIONS - #
## Define a simple function to draw the error bars.
makeBars - function(x,mean,se){
segments(x,mean - se/2,x,mean+se/2)
segments(x-0.1,mean - se/2,x+0.1,mean - se/2)
segments(x-0.1,mean + se/2,x+0.1,mean + se/2)
}
##Define a simple function to write p values
writeP - function(x,mean,se,pval) {
if (pval = 0.01) {
# text(x, mean + se/2 + 0.25, sprintf('p=%.2f',pval),cex=1.5)
text(x +0.05, mean + se/2 + 0.4, sprintf('*'),cex=1)
} else {
text(x +0.05, mean + se/2 + 0.4, sprintf('**'),cex=1)
}
}


## define function to draw entire group
## A,B,C refer to the x positions of the x,y,z observations
drawBarsAndPValueForGroup -
function(A,B,C,x.mean,x.se,y.mean,y.se,z.mean,z.se,xy.pval,xz.pval) {
makeBars(A,x.mean,x.se)
makeBars(B,y.mean,y.se)
makeBars(C,z.mean,z.se)
writeP(B - 0.05, y.mean,y.se,xy.pval)
writeP(C -0.05,z.mean,z.se,xz.pval)
}



## We will make a two part graphic
par(mfrow=c(1,2))

## X: 0
## y: 0.2 µM
## z: 0.4 µM

yTop - 12  ## Limit for Y axis

##  ---  RT-PCR MMP1   --- ##

x - c(0.8839034,0.42011158,0.65318013 , 0.88494528,1.900606, 1.2572536 )
x.mean - mean(x)
x.se - sd(x) / sqrt(length(x))
y - c(5.067579666,2.630677502,1.881902881,1.61994864,3.356066695 )
y.mean - mean(y)
y.se - sd(y)/ sqrt(length(y))
z -
c(13.38923048,3.677270765,3.559984278,10.83628903,12.20110874,12.8957108)
z.mean - mean(z)
z.se - sd(z)/ sqrt(length(z))

## -- Do t test and calculate the p values -- ##
xy.t - t.test(y,x, alternative=c(greater),var.equal=TRUE)
xy.pval - xy.t$p.value

xz.t - t.test(z, x, alternative=c(greater),var.equal=TRUE)
xz.pval - xz.t$p.value


arr - c(x.mean,y.mean,z.mean)
mat - matrix(arr,nrow=3,byrow=F)


barplot(mat,  ## The data
beside=TRUE, ## juxtapose values in each column rather than stacking 
them
ylim=c(0,yTop), ## limits for y axis
xlim=c(0,3),
width=1,
space=c(0,0.1),##space: the amount of space (as a fraction of the 
average
bar width)
##  left before each bar. beside=TRUE, can be
given
## by 2 numbers, the space between bars within a 
group
## and space betweens bars of different groups
names=c('0.0 µM','0.2 µM','0.4 µM'),
ylab='Relative Change',
  col=c('white'),
  cex.names=1,
cex.axis=1,##cex.axis: expansion factor for numeric axis labels.
cex.lab=1)

## First for the RT-PCR group
start - 0.1
first - start + 0.5
second - start + 1.5
third - start + 2.5

drawBarsAndPValueForGroup(first,second,third,x.mean,x.se,y.mean,y.se,z.mean,z.se,xy.pval,xz.pval)


##  --- Western MMP1 --- ##

x2 - c(1.117373856,0.690266558,1.192359586 )
y2 - c(3.53806369,3.895634049,6.653024511 )
z2 - c(8.609814741,3.858564979,8.492977115)

x2.mean - mean(x2)
x2.se - sd(x2) / sqrt(length(x2))
y2.mean - mean(y2)
y2.se - sd(y2)/ sqrt(length(y2))
z2.mean - mean(z2)
z2.se - sd(z2)/ sqrt(length(2))

## -- Do t test and calculate the p values -- ##
xy2.t - t.test(y2,x2, alternative=c(greater),var.equal=TRUE)
xy2.pval - xy2.t$p.value

xz2.t - t.test(z2,x2,alternative=c(greater),var.equal=TRUE)
xz2.pval - xz2.t$p.value



arr - c(x2.mean, y2.mean,z2.mean)
mat - matrix(arr,nrow=3,byrow=F)

## mat now has the values of each type of experiment in individual columns




barplot(mat,  ## The date
beside=TRUE, ## juxtapose values in each column rather than stacking 
them
ylim=c(0,yTop), ## limits for y axis
xlim=c(0,4),
width=1,
space=c(0,0.1),##space: the amount of space (as a fraction of the 
average
bar width)
##  left before each bar. beside=TRUE, can be

[R] error messages in matrix multiplication

2005-10-24 Thread Bob Green
Hello,

I am hoping for some advice on using R - my experience with statistical 
programs has been limited to SPSS.

I have been using a textual analysis program and wanted to add some rigour 
to making a choice between two models of self-reported cannabis effects. To 
do this, I need to compare the two resulting word co-occurence matrices. 
The program itself,doesn't offer this as an option and the person who wrote 
the program, told me where the numerical data was located and offered this 
advice:

For two vectors a and b, the cosine similarity is: therefore cos   theta = 
a . b / magn(a)*magn(b)  that the formula is really identical   for 
matrices. The dot product (or inner product) is calculated by   multiplying 
each pair of corresponding elements from the two matrices,   and summing 
these products. Calculating the magnitude of a matrix is   really the same 
as a vector:  square each element of the matrix, sum the   squares, then 
take the square root of the sum.

I have been advised that when matrices are multiplied I should use %*%, 
whereas if I want a point estimate I omit the %.


I have tried to run syntax with and without the %, however my efforts at 
either syntax below (a) or syntax (b) remain unsuccessful.

With (a) I obtain the message - Warning message: Error in A %*% B : 
non-conformable arguments

With (b) I obtain the message - Warning message:NAs produced by integer 
overflow in: sum(A * A) * sum(B * B) :


(a) Matrix

testA -read.table(c:\\matrixA.txt,header=T)
testB -read.table(c:\\matrixB.txt,header=T)

A-as.matrix(testA)
B-as.matrix(testB)

cosineDissimilarity - sum(A%*%B)/sqrt(sum(A%*%A)*sum(B%*%B))



(b) pointwise

testA -read.table(c:\\matrixA.txt,header=T)
testB -read.table(c:\\matrixB.txt,header=T)

A-as.matrix(testA)
B-as.matrix(testB)

cosineDissimilarity - sum(A*B)/sqrt(sum(A*A)*sum(B*B))



Any suggestions are appreciated, regarding either the above logic about 
analysis selection or the necessary syntax.

regards

Bob

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Re: [R] Basic: setting resolution and size of an R graphic

2005-10-24 Thread Marc Schwartz (via MN)
On Mon, 2005-10-24 at 22:32 +0200, Dr. med. Peter Robinson wrote:
 Dear List,
 
 I am sorry if this perhaps a too basic question, but I have not found an
 answer in Google or in the R help system. I am trying to use R to do a
 very simple analysis of some data (RT-PCR and Western analysis) with a
 T-test and
 to plot the results as a histogram with error bars. (I have pasted an
 example script at the bottom of this mail).
 In order to use this for publication, I would like to adjust the
 resolution and size of the final image. However, even using file types
 such as postscript or pdf that are vector based, I get rather bad-looking
 results with
 pdf(file=test.pdf)
 source(script at bottom of mail)
 dev.off()
 
 using either pdf or postscript or jpg devices.
 
 
 Therefore I would like to ask the list, how to best produce a graphic from
 the script below that would fit into one column of a published article and
 have a high resolution (as eps, or failing that tiff or png)?
 Thanks in advance for any advice,
 
 Peter

Snip of code

What OS are you on?

Running your example on FC4, I get the attached output for a pdf().

I suspect that on your OS, the height and width arguments are not
appropriate by default.

Thus, you may need to adjust your pdf (or postscript) function call to
explicitly specify larger height and width arguments.

Also note that to generate an EPS file, pay attention to the details
section of ?postscript, taking note of the 'onefile', 'horizontal' and
'paper' arguments and settings.

Also, check with your journal to see if they specify dimensions for such
graphics so that you can abide by their specs if provided. If they are
using LaTeX, there are means of specifying and/or adjusting the height
and/or width specs in the code based upon proportions of various
measures (ie. \includegraphics[width=0.9\textwidth]{GraphicsFile.eps} ).

HTH,

Marc Schwartz



test.pdf
Description: Adobe PDF document
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Re: [R] Male and female symbols?

2005-10-24 Thread Greg Snow
If you have image files of your plotting symbols (fox and rabbits) then
one
approach is to follow the example in the post at:
http://tolstoy.newcastle.edu.au/~rking/R/help/05/08/10890.html

hope this helps,

Greg Snow, Ph.D.
Statistical Data Center, LDS Hospital
Intermountain Health Care
[EMAIL PROTECTED]
(801) 408-8111

 Ted Harding [EMAIL PROTECTED] 10/22/05 08:58AM 

George's query somewhat leads on to a more general question:
Can one define one's own symbols for plotting?

For example -- though I'm not seriously saying I need this --
in a population study of faxes and rabbits surveyed over several
years, one might wish to plot the Rabbit population using tiny
rabbits as points, and foxes' heads for the Fox population.

(Given the data coordinates, I would have my own ways to do this;
but not in R).

Best wishes,
Ted.



E-Mail: (Ted Harding) [EMAIL PROTECTED]
Fax-to-email: +44 (0)870 094 0861
Date: 22-Oct-05   Time: 15:55:41
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[R] stepAIC formula upper limit guidelines

2005-10-24 Thread Tate Avery
Hello,

I am attempting to refine an lm()-generated model using the stepAIC 
function.

My model has approximately 20 inputs and I am trying to determine the best 
upper limit scope for using those inputs.

My lower limit is y ~ 1 and my original upper limit was y ~ x1 + x2 + ... 
+ x20.

This is great start, but I am wondering if some other (more broad) upper 
limit would allow for combinations of inputs (examples: x1*x3 or x5/x7) 
before the coefficients are applied.

Specifically, I am trying to determine what syntax will give stepAIC the 
most flexibility to slice and dice my inputs as it searches for the best 
possible model.

Any details or references would be immensely appreciated.

Thank you,
Tate Avery

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[R] selecting every nth item in the data

2005-10-24 Thread Stephen Choularton
I want to make a glm and then use predict.  I have a fairly small sample
(4000 cases) and I want to train on 90% and test on 10% but I want to do
it in slices so I test on every 10th case and train on the others.  Is
there some simple way to get these elements?
 
Stephen

-- 



21/10/2005
 

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Re: [R] selecting every nth item in the data

2005-10-24 Thread Petr Pikal


On 25 Oct 2005 at 13:48, Stephen Choularton wrote:

From:   Stephen Choularton [EMAIL PROTECTED]
To: R Help r-help@stat.math.ethz.ch
Date sent:  Tue, 25 Oct 2005 13:48:42 +1000
Subject:[R] selecting every nth item in the data

 I want to make a glm and then use predict.  I have a fairly small
 sample (4000 cases) and I want to train on 90% and test on 10% but I
 want to do it in slices so I test on every 10th case and train on the
 others.  Is there some simple way to get these elements?

As glm accept subet you probably can use

test-seq(1,4000,n)

glm(, subset = test)

to select only n'th item or

glm(, subset = -test)

to select all but n'th items.

or you can split the data freme by

mydf[test,] or mydf[-test,]

HTH
Petr



 
 Stephen
 
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Petr Pikal
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[R] Examples of classwt, strata, and sampsize in randomForest?

2005-10-24 Thread David L. Van Brunt, Ph.D.
Just browsing the documentation, and searching the list came up short... I
have some unbalance data and was wondering if, in a 0 v 1 classification
forest, if these options might yield better predictions when the proportion
of one class is low (less than 10% in a sample of 2,000 observations).

Not sure how to specify these terms... from the docs, we have:

classwt: Priors of the classes. Need not add up to one. Ignored for
regression.

So is this something like ... classwt=c(.90,.10) ? I didn't see the syntax
demonstrated. Similar for strata and sampsize though there is a default
for sampsize that makes sense... not sure how you would make a vector of
the length the number of strata, however

Pointers?

--
---
David L. Van Brunt, Ph.D.
mailto:[EMAIL PROTECTED]

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