Re: [R] Vector comparison to matrix

2005-08-15 Thread Prof Brian Ripley
Probably you use the idea from unique.matrix, that is

1) form a string from each row and
2) call match() to see which strings match your pattern row.

On Sun, 14 Aug 2005, Todd Remund wrote:

 I am looking for a fast way to count the number of rows in a matrix are
 identical to a pattern vector.  For example, if I am interested in counting
 the number of row vectors in a matrix that are identical to (1,2,3) what
 would I do?  I have tried the identical statement in a loop but this is far
 too slow.  I have a very large matrix and need to avoid loops at all costs.

-- 
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] scratch a figure

2005-08-15 Thread Dieter Menne
jonathenwu at hotmail.com writes:

 I have generated a figure using rgl.surface(),how can I scratch this 
 figure? thanks a lot.

Assuming you mean print: Try rgl.snapshot, which produces a png file that can 
be printed by any standard paint program.

Dieter

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[R] return unique values from date/time class object

2005-08-15 Thread McClatchie, Sam (PIRSA-SARDI)
Background:
OS: Linux Mandrake 10.1
release: R 2.0.0
editor: GNU Emacs 21.3.2
front-end: ESS 5.2.3
-
Colleagues

I have a  wind speed time series with a normal frequency distribution and a
spike in the 5 metres/second bin. The most likely explanation is that the
instrument was returning duplicate values at this speed. To check  this, I
want to extract all the unique times from the series. However, unique()
works with vectors and the object is POSIXt class. I've looked for a similar
function to unique() that will work with this class, but have failed to find
one.

Any suggestions?

Thanks

Sam

Sam McClatchie,
Biological oceanography 
South Australian Aquatic Sciences Centre
PO Box 120, Henley Beach 5022
Adelaide, South Australia
email [EMAIL PROTECTED]
Cellular: 0431 304 497 
Telephone: (61-8) 8207 5448
FAX: (61-8) 8207 5481
Research home page http://www.members.iinet.net.au/~s.mcclatchie/
  
   /\
  ...xX(° 
 
   °)Xx
  /  \\
(((° 
  (((°   ...xX(°O°)Xx

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Re: [R] Vector comparison to matrix

2005-08-15 Thread Prof Brian Ripley
On Mon, 15 Aug 2005, Prof Brian Ripley wrote:

 Probably you use the idea from unique.matrix, that is

 1) form a string from each row and
 2) call match() to see which strings match your pattern row.

If your matrix A really does have short rows like c(1,2,3) and millions of 
them, another idea is to do

target - rep(c(1,2,3), each= nrow(A))
rowSums(A != target) == 0

For wider rows my first suggestion is probably faster.

 On Sun, 14 Aug 2005, Todd Remund wrote:

 I am looking for a fast way to count the number of rows in a matrix are
 identical to a pattern vector.  For example, if I am interested in counting
 the number of row vectors in a matrix that are identical to (1,2,3) what
 would I do?  I have tried the identical statement in a loop but this is far
 too slow.  I have a very large matrix and need to avoid loops at all costs.

-- 
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] return unique values from date/time class object

2005-08-15 Thread Petr Pikal
Hi Sam

It works for me:

ss-Sys.time()
sss-rep(ss,5)
ss-Sys.time()
sss-c(sss,ss)
 sss
[1] 2005-08-15 10:04:02 Střední Evropa (letní čas) 2005-08-15 
10:04:02 Střední Evropa (letní čas)
[3] 2005-08-15 10:04:02 Střední Evropa (letní čas) 2005-08-15 
10:04:02 Střední Evropa (letní čas)
[5] 2005-08-15 10:04:02 Střední Evropa (letní čas) 2005-08-15 
10:04:35 Střední Evropa (letní čas)

# six values but only 2 different

 unique(sss)
[1] 2005-08-15 10:04:02 Střední Evropa (letní čas) 2005-08-15 
10:04:35 Střední Evropa (letní čas)

# 2 values

 str(sss)
'POSIXct', format: chr [1:6] 2005-08-15 10:04:02 2005-08-15 
10:04:02 2005-08-15 10:04:02 2005-08-15 10:04:02 2005-
08-15 10:04:02 ...

# posix format as well

HTH
Petr





On 15 Aug 2005 at 16:57, McClatchie, Sam (PIRSA-SARDI) wrote:

 Background:
 OS: Linux Mandrake 10.1
 release: R 2.0.0
 editor: GNU Emacs 21.3.2
 front-end: ESS 5.2.3
 -
 Colleagues
 
 I have a  wind speed time series with a normal frequency distribution
 and a spike in the 5 metres/second bin. The most likely explanation is
 that the instrument was returning duplicate values at this speed. To
 check  this, I want to extract all the unique times from the series.
 However, unique() works with vectors and the object is POSIXt class.
 I've looked for a similar function to unique() that will work with
 this class, but have failed to find one.
 
 Any suggestions?
 
 Thanks
 
 Sam
 
 Sam McClatchie,
 Biological oceanography 
 South Australian Aquatic Sciences Centre
 PO Box 120, Henley Beach 5022
 Adelaide, South Australia
 email [EMAIL PROTECTED]
 Cellular: 0431 304 497 
 Telephone: (61-8) 8207 5448
 FAX: (61-8) 8207 5481
 Research home page http://www.members.iinet.net.au/~s.mcclatchie/
 
/\
   ...xX(° 
  
°)Xx
   /  \\
 (((° 
   (((°   ...xX(°O°)Xx
 
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Petr Pikal
[EMAIL PROTECTED]

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Re: [R] Problem with lme4

2005-08-15 Thread Peter Ho
I did as you suggested by just running just R (--vanilla) and that 
seemed to work. Not sure what the problem was though.

Thanks

Peter

Douglas Bates wrote:

On 8/12/05, Peter Ho [EMAIL PROTECTED] wrote:
  

Hi,

I cannot seem to get lme4 to work. I have installed the lme4 and Matrix
package with apt-get. and both can be found in /usr/lib/R/site-library.
When I tried an example for lmer, R could not find the function lmer(),



Try using

install.packages(Matrix)
install.packages(lme4)

in R instead.  I have not created and uploaded new Debian packages of
the lme4 and Matrix R packages for several weeks.  The versions on
CRAN are more recent than the versions on the Debian archives.

  

  library(lme4)

Attaching package: 'lme4'


The following object(s) are masked from package:nlme :

 getCovariateFormula getResponseFormula groupedData

Error in autoloader(name = confint, package = MASS) :
autoloader did not find 'confint' in 'MASS'



Try not to have the nlme and the lme4 packages loaded simultaneously. 
It appears that you may have had Rcmdr loaded causing many of the
other packages to be loaded.  It would be better to use --vanilla in
the call to R and keep the number of loaded packages to a minimum
until you can work out the problem of where lmer can be found.

It is a bit confusing.  The lmer function was in the lme4 package but
now is in the Matrix package.
  

  (fm1 - lmer(decrease ~ treatment + (1|rowpos) + (1|colpos),
+  OrchardSprays))
Error: couldn't find function lmer
 

Is this a bug with the lme4 package for Debian (r-cran-lme4)?


Peter



#
R : Copyright 2005, The R Foundation for Statistical Computing
Version 2.1.1  (2005-06-20), 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.

Loading Tcl/Tk interface ... done
Loading required package: tcltk
Loading required package: rgl
Loading required package: zoo
Loading required package: strucchange
Loading required package: sandwich
Loading required package: relimp
Loading required package: nnet
Loading required package: graphics
Loading required package: grDevices
Loading required package: stats
Loading required package: nlme

Attaching package: 'nlme'


The following object(s) are masked from package:stats :

 contr.SAS

Loading required package: mvtnorm
Loading required package: multcomp
Loading required package: mgcv
This is mgcv 1.2-4
Loading required package: MASS
Loading required package: lmtest
Loading required package: lattice
Loading required package: grid
Loading required package: foreign
Loading required package: effects
Loading required package: car
Loading required package: abind
[Previously saved workspace restored]

  library(Matrix)
  library(lme4)

Attaching package: 'lme4'


The following object(s) are masked from package:nlme :

 getCovariateFormula getResponseFormula groupedData

Error in autoloader(name = confint, package = MASS) :
autoloader did not find 'confint' in 'MASS'
  (fm1 - lmer(decrease ~ treatment + (1|rowpos) + (1|colpos),
+  OrchardSprays))
Error: couldn't find function lmer
 

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[R] Semicolons (was: clip to keep coordinate system?)

2005-08-15 Thread Jan T. Kim
On Tue, Aug 09, 2005 at 07:49:36AM -0700, Thomas Lumley wrote:
 On Tue, 9 Aug 2005 [EMAIL PROTECTED] wrote:
 
 
  dear R wizards:
 
  plot( 1, 1, ylim=(2,10), xlim=(2,10), type=n);
  rect( -1, -1, 12, 12, col=gray(0.99) );
 
  unfortunately wipes out the border axes around the plot.  how do I keep
  this?
 
 I think you meant
plot( 1, 1, ylim=c(2,10), xlim=c(2,10), type=n)
rect( -1, -1, 12, 12, col=gray(0.99) )
 Your code has two syntax errors and two spurious semicolons.

What's wrong with the semicolons? Technically, they're not necessary,
but they definitely improve readability without doing any harm.

Best regards, Jan
-- 
 +- Jan T. Kim ---+
 |*NEW*email: [EMAIL PROTECTED]   |
 |*NEW*WWW:   http://www.cmp.uea.ac.uk/people/jtk |
 *-=  hierarchical systems are for files, not for humans  =-*

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[R] stepAIC invalid scope argument

2005-08-15 Thread Adaikalavan Ramasamy
I am trying to replicate the first example from stepAIC from the MASS
package with my own dataset but am running into error. If someone can
point where I have gone wrong, I would appreciate it very much. 

Here is an example :

 set.seed(1)
 df   - data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) )
 df$y - 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5)
 # pairs(df); head(df)

 lo  - aov( y ~ 1, data=df )
 hi  - aov( y ~ .^2, data=df )
 mid - aov( y ~ x2 + x3, data=df )

Running any of the following commands

 stepAIC( mid, scope=list(upper = ~x1 + x2 + x3 , lower = ~1) )
 stepAIC( mid, scope=list(upper = hi , lower = lo) )
 addterm( mid, ~ x1 + x2 + x3 )
 addterm( lo, hi )

gives the same error message : 
  Error in eval(expr, envir, enclos) : invalid second argument

Here is a traceback of the first failed command :
 14: eval(predvars, data, env)
 13: model.frame.default(formula = y ~ x2 + x3 + x1, data = df, 
drop.unused.levels = TRUE)
 12: model.frame(formula = y ~ x2 + x3 + x1, data = df, drop.unused.levels = 
TRUE)
 11: eval(expr, envir, enclos)
 10: eval(mf, parent.frame())
 9: lm(formula = y ~ x2 + x3 + x1, data = df, method = model.frame)
 8: eval(expr, envir, enclos)
 7: eval(fcall, env, parent.frame())
 6: model.frame.lm(fob, xlev = object$xlevels)
 5: model.frame(fob, xlev = object$xlevels)
 4: stats:::add1.lm(object, scope = scope, scale = scale)
 3: addterm.lm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
...)
 2: addterm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
...)
 1: stepAIC(mid, scope = list(upper = ~x1 + x2 + x3, lower = ~1))

Any pointers would be much appreciated. Thank you.

Regards, Adai

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[R] error in predict glm (new levels cause problems)

2005-08-15 Thread K. Steinmann
Dear R-helpers,

I try to perform glm's with negative binomial distributed data.
So I use the MASS library and the commands:
model_1 = glm.nb(response ~ y1 + y2 + ...+ yi, data = data.frame)
and
predict(model_1, newdata = data.frame)


So far, I think everything should be ok.

But when I want to perform a glm with a subset of the data,
I run into an error message as soon as I want to predict values, based on the
new model. The problem seems to be the reduced number of levels of one of the
factors yi ( a categorical factor) in the subset of the original data set.

On cran search I found some related hint, that the line mf$drop.unused.levels
- TRUE  in the glm (or glm.nb) function could cause the problem.

Therefore I changed the line to mf$drop.unused.levels - FALSE .
Indeed the error message disappears and when I compare the prediction of model_1
with the prediction of the model, carried out with the full data set but with
the changed glm.nb function, I get the same predicted numbers.

However, the change of glm.nb function was more of an intuitive action, and
since I still consider myself as a beginner of R, I don't feel comfortable.

So my questions:
1. Is there an easier way to solve my problem?
2. Do I affect the glm.nb function seriously, by changing the line mentioned
above?


Thank you for your help,
Katharina

PS: I am working with R 2.0.0
PPS: Concrete error message:
Error in model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
factor I(kanton) has new level(s) GE




--
K. Steinmann
Botanisches Institut
Universität Basel
CH-4056 Basel
Switzerland
Tel  0041 61 267 35 02
E-mail: [EMAIL PROTECTED]

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Re: [R] Vector comparison to matrix

2005-08-15 Thread Ravi Varadhan
Hi Todd,

Here is a function that was suggested to me by Gabor Grothendieck.  This
function counts the number of times each row of a matrix B occurs in another
matrix A.

rowmatch.count - function(a,b) { 
f - function(...) paste(..., sep=:)
a2 - do.call(f, as.data.frame(a))
b2 - do.call(f, as.data.frame(b))
c(table(c(a2,unique(b2)))[b2] - 1)
}

If you are interested in finding the number of occurrences of a vector b
instead, you can call this function as follows:

rowmatch.count(A,t(as.matrix(b))

Hope this is helps,
Ravi.


 -Original Message-
 From: [EMAIL PROTECTED] [mailto:r-help-
 [EMAIL PROTECTED] On Behalf Of Todd Remund
 Sent: Monday, August 15, 2005 1:13 AM
 To: r-help@stat.math.ethz.ch
 Subject: [R] Vector comparison to matrix
 
 I am looking for a fast way to count the number of rows in a matrix are
 identical to a pattern vector.  For example, if I am interested in
 counting
 the number of row vectors in a matrix that are identical to (1,2,3) what
 would I do?  I have tried the identical statement in a loop but this is
 far
 too slow.  I have a very large matrix and need to avoid loops at all
 costs.
 Thanks for any help.
 Todd Remund
 
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Re: [R] stepAIC invalid scope argument

2005-08-15 Thread Prof Brian Ripley
Try not to use the name of an R object ... the error is caused by using 
'df' as the second argument to eval().

It works with DF in place of df.

I don;t understand your subject line: that is not the error message you 
received.

On Mon, 15 Aug 2005, Adaikalavan Ramasamy wrote:

 I am trying to replicate the first example from stepAIC from the MASS
 package with my own dataset but am running into error. If someone can
 point where I have gone wrong, I would appreciate it very much.

 Here is an example :

 set.seed(1)
 df   - data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) )
 df$y - 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5)
 # pairs(df); head(df)

 lo  - aov( y ~ 1, data=df )
 hi  - aov( y ~ .^2, data=df )
 mid - aov( y ~ x2 + x3, data=df )

 Running any of the following commands

 stepAIC( mid, scope=list(upper = ~x1 + x2 + x3 , lower = ~1) )
 stepAIC( mid, scope=list(upper = hi , lower = lo) )
 addterm( mid, ~ x1 + x2 + x3 )
 addterm( lo, hi )

 gives the same error message :
  Error in eval(expr, envir, enclos) : invalid second argument

 Here is a traceback of the first failed command :
 14: eval(predvars, data, env)
 13: model.frame.default(formula = y ~ x2 + x3 + x1, data = df, 
 drop.unused.levels = TRUE)
 12: model.frame(formula = y ~ x2 + x3 + x1, data = df, drop.unused.levels = 
 TRUE)
 11: eval(expr, envir, enclos)
 10: eval(mf, parent.frame())
 9: lm(formula = y ~ x2 + x3 + x1, data = df, method = model.frame)
 8: eval(expr, envir, enclos)
 7: eval(fcall, env, parent.frame())
 6: model.frame.lm(fob, xlev = object$xlevels)
 5: model.frame(fob, xlev = object$xlevels)
 4: stats:::add1.lm(object, scope = scope, scale = scale)
 3: addterm.lm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = 
 k, ...)
 2: addterm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
 ...)
 1: stepAIC(mid, scope = list(upper = ~x1 + x2 + x3, lower = ~1))

 Any pointers would be much appreciated. Thank you.

 Regards, Adai

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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] stepAIC invalid scope argument

2005-08-15 Thread Prof Brian Ripley
In case it is unclear why in this case there is a problem: you are running 
a function (here model.frame) in the stats namespace and so it looks in 
the stats namespace before the workspace when looking for 'df'.

On Mon, 15 Aug 2005, Prof Brian Ripley wrote:

 Try not to use the name of an R object ... the error is caused by using
 'df' as the second argument to eval().

 It works with DF in place of df.

 I don't understand your subject line: that is not the error message you
 received.

 On Mon, 15 Aug 2005, Adaikalavan Ramasamy wrote:

 I am trying to replicate the first example from stepAIC from the MASS
 package with my own dataset but am running into error. If someone can
 point where I have gone wrong, I would appreciate it very much.

 Here is an example :

 set.seed(1)
 df   - data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) )
 df$y - 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5)
 # pairs(df); head(df)

 lo  - aov( y ~ 1, data=df )
 hi  - aov( y ~ .^2, data=df )
 mid - aov( y ~ x2 + x3, data=df )

 Running any of the following commands

 stepAIC( mid, scope=list(upper = ~x1 + x2 + x3 , lower = ~1) )
 stepAIC( mid, scope=list(upper = hi , lower = lo) )
 addterm( mid, ~ x1 + x2 + x3 )
 addterm( lo, hi )

 gives the same error message :
  Error in eval(expr, envir, enclos) : invalid second argument

 Here is a traceback of the first failed command :
 14: eval(predvars, data, env)
 13: model.frame.default(formula = y ~ x2 + x3 + x1, data = df, 
 drop.unused.levels = TRUE)
 12: model.frame(formula = y ~ x2 + x3 + x1, data = df, drop.unused.levels = 
 TRUE)
 11: eval(expr, envir, enclos)
 10: eval(mf, parent.frame())
 9: lm(formula = y ~ x2 + x3 + x1, data = df, method = model.frame)
 8: eval(expr, envir, enclos)
 7: eval(fcall, env, parent.frame())
 6: model.frame.lm(fob, xlev = object$xlevels)
 5: model.frame(fob, xlev = object$xlevels)
 4: stats:::add1.lm(object, scope = scope, scale = scale)
 3: addterm.lm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = 
 k, ...)
 2: addterm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
 ...)
 1: stepAIC(mid, scope = list(upper = ~x1 + x2 + x3, lower = ~1))

 Any pointers would be much appreciated. Thank you.

 Regards, Adai

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 R-help@stat.math.ethz.ch mailing list
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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

 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


-- 
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] stepAIC invalid scope argument

2005-08-15 Thread Adaikalavan Ramasamy
You are right, it works fine with a different name. Its a bad habit that
I need to shake off.

The error message said that the second argument was invalid. The second
argument in stepAIC and addterm is 'scope' and thus the title.

Thank you again.

Regards, Adai



On Mon, 2005-08-15 at 15:23 +0100, Prof Brian Ripley wrote:
 Try not to use the name of an R object ... the error is caused by using 
 'df' as the second argument to eval().
 
 It works with DF in place of df.
 
 I don;t understand your subject line: that is not the error message you 
 received.
 
 On Mon, 15 Aug 2005, Adaikalavan Ramasamy wrote:
 
  I am trying to replicate the first example from stepAIC from the MASS
  package with my own dataset but am running into error. If someone can
  point where I have gone wrong, I would appreciate it very much.
 
  Here is an example :
 
  set.seed(1)
  df   - data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) )
  df$y - 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5)
  # pairs(df); head(df)
 
  lo  - aov( y ~ 1, data=df )
  hi  - aov( y ~ .^2, data=df )
  mid - aov( y ~ x2 + x3, data=df )
 
  Running any of the following commands
 
  stepAIC( mid, scope=list(upper = ~x1 + x2 + x3 , lower = ~1) )
  stepAIC( mid, scope=list(upper = hi , lower = lo) )
  addterm( mid, ~ x1 + x2 + x3 )
  addterm( lo, hi )
 
  gives the same error message :
   Error in eval(expr, envir, enclos) : invalid second argument
 
  Here is a traceback of the first failed command :
  14: eval(predvars, data, env)
  13: model.frame.default(formula = y ~ x2 + x3 + x1, data = df, 
  drop.unused.levels = TRUE)
  12: model.frame(formula = y ~ x2 + x3 + x1, data = df, drop.unused.levels = 
  TRUE)
  11: eval(expr, envir, enclos)
  10: eval(mf, parent.frame())
  9: lm(formula = y ~ x2 + x3 + x1, data = df, method = model.frame)
  8: eval(expr, envir, enclos)
  7: eval(fcall, env, parent.frame())
  6: model.frame.lm(fob, xlev = object$xlevels)
  5: model.frame(fob, xlev = object$xlevels)
  4: stats:::add1.lm(object, scope = scope, scale = scale)
  3: addterm.lm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = 
  k, ...)
  2: addterm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
  ...)
  1: stepAIC(mid, scope = list(upper = ~x1 + x2 + x3, lower = ~1))
 
  Any pointers would be much appreciated. Thank you.
 
  Regards, Adai
 
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Re: [R] scratch a figure

2005-08-15 Thread Duncan Murdoch
吴 昊 wrote:
 Hi,
 I have generated a figure using rgl.surface(),how can I scratch this 
 figure? thanks a lot.

Which version of rgl are you using? Current is 0.65. What does scratch 
mean?  There are functions rgl.close(), rgl.clear(), rgl.pop().  You can 
also just close the window; a new one will be created the next time you 
draw something.

Duncan Murdoch

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[R] Re-sort list of vectors

2005-08-15 Thread Jan Hummel
Hi.
Can anyone suggest a simple way to re-sort in R a list of vectors of the
following form?

input
$1
a   b   c
1   2   3
$2
a   b   c
4   5   6

Output should be something like:
a
1 1
2 4
b
1 2
2 5
c
1 3
2 6

I've been futzing with mapply(), outer(), split(), rbind() and so on but
haven't found an elegant solution.

Thanks,
Jan.

P.S. E-mailed CCs of posted replies appreciated.

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Re: [R] Re-sort list of vectors

2005-08-15 Thread Liaw, Andy
If all vectors in the list have the same length, why not use a matrix?  Then
you'd just transpose the matrix if you need to.  If you really have to have
it as a list, here's one possibility:

 x - list(1=c(a=1, b=2, c=3), 2=c(a=4, b=5, c=6))
 x
$1
a b c 
1 2 3 

$2
a b c 
4 5 6 
 as.list(as.data.frame(t(matrix(unlist(x), nrow=3
$V1
[1] 1 4

$V2
[1] 2 5

$V3
[1] 3 6

Andy


 From: Jan Hummel
 
 Hi.
 Can anyone suggest a simple way to re-sort in R a list of 
 vectors of the
 following form?
 
 input
 $1
   a   b   c
   1   2   3
 $2
   a   b   c
   4   5   6
 
 Output should be something like:
 a
   1 1
   2 4
 b
   1 2
   2 5
 c
   1 3
   2 6
 
 I've been futzing with mapply(), outer(), split(), rbind() 
 and so on but
 haven't found an elegant solution.
 
 Thanks,
 Jan.
 
 P.S. E-mailed CCs of posted replies appreciated.
 
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Re: [R] stepAIC invalid scope argument

2005-08-15 Thread Prof Brian Ripley
On Mon, 15 Aug 2005, Adaikalavan Ramasamy wrote:

 You are right, it works fine with a different name. Its a bad habit that
 I need to shake off.

 The error message said that the second argument was invalid. The second
 argument in stepAIC and addterm is 'scope' and thus the title.

OK, we'll improve the error message 


 Thank you again.

 Regards, Adai



 On Mon, 2005-08-15 at 15:23 +0100, Prof Brian Ripley wrote:
 Try not to use the name of an R object ... the error is caused by using
 'df' as the second argument to eval().

 It works with DF in place of df.

 I don;t understand your subject line: that is not the error message you
 received.

 On Mon, 15 Aug 2005, Adaikalavan Ramasamy wrote:

 I am trying to replicate the first example from stepAIC from the MASS
 package with my own dataset but am running into error. If someone can
 point where I have gone wrong, I would appreciate it very much.

 Here is an example :

 set.seed(1)
 df   - data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) )
 df$y - 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5)
 # pairs(df); head(df)

 lo  - aov( y ~ 1, data=df )
 hi  - aov( y ~ .^2, data=df )
 mid - aov( y ~ x2 + x3, data=df )

 Running any of the following commands

 stepAIC( mid, scope=list(upper = ~x1 + x2 + x3 , lower = ~1) )
 stepAIC( mid, scope=list(upper = hi , lower = lo) )
 addterm( mid, ~ x1 + x2 + x3 )
 addterm( lo, hi )

 gives the same error message :
  Error in eval(expr, envir, enclos) : invalid second argument

 Here is a traceback of the first failed command :
 14: eval(predvars, data, env)
 13: model.frame.default(formula = y ~ x2 + x3 + x1, data = df, 
 drop.unused.levels = TRUE)
 12: model.frame(formula = y ~ x2 + x3 + x1, data = df, drop.unused.levels = 
 TRUE)
 11: eval(expr, envir, enclos)
 10: eval(mf, parent.frame())
 9: lm(formula = y ~ x2 + x3 + x1, data = df, method = model.frame)
 8: eval(expr, envir, enclos)
 7: eval(fcall, env, parent.frame())
 6: model.frame.lm(fob, xlev = object$xlevels)
 5: model.frame(fob, xlev = object$xlevels)
 4: stats:::add1.lm(object, scope = scope, scale = scale)
 3: addterm.lm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = 
 k, ...)
 2: addterm(fit, scope$add, scale = scale, trace = max(0, trace - 1), k = k, 
 ...)
 1: stepAIC(mid, scope = list(upper = ~x1 + x2 + x3, lower = ~1))

 Any pointers would be much appreciated. Thank you.

 Regards, Adai

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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] Way to make R idle for some time and try something again later

2005-08-15 Thread Don MacQueen

At 6:44 AM +0100 7/30/05, Prof Brian Ripley wrote:
This depends on what else is going on.  My guess is that you are 
running the Aqua GUI, and it is servicing the GUI which is taking 
the time, not R itself.

Actually, no, I am not using the Aqua GUI. Not even a framework build:
../source/configure --enable-R-shlib --with-blas=-framework vecLib 
--with-lapack --enable-R-framework=no


On all of Linux, Solaris and Windows (RGui or Rterm) Sys.sleep() 
does use very close to zero resources at the beginning of a session, 
but things may be different if e.g. tcltk widgets are in use.

On Fri, 29 Jul 2005, Don MacQueen wrote:

I done something very similar -- have R watch a file, and whenever
new data is added to the file, read the new data from the file. In my
case, new data was arriving once per minute, so I needed to have R
wait about a minute before looking for new data.

On my unix-based system, I found that if I usd

I don't think your system IS `unix-based' (Unix is a trademark, and 
MacOS X is based on a rather different kernel).  It is quite 
possible that it is behaving differently from the POSIX description 
of Unix system calls on which R is based for Unix-alikes.

   Sys.sleep( N )
then cpu usage immediately went up drastically. If the the system is
otherwise fairly idle, cpu usage goes up to nearly 100%. A cpu
monitor shows that R is using the cpu cycles.

If I use instead
  system('sleep N')
cpu usage does not go up.

Does that freeze the GUI?  It certainly freezes tcltk widgets on Unix.

I've never tried it while using tcltk widgets.

(and apologies for the delay; I've been away from the office for two weeks)


(where N is the number of seconds to sleep)

  version
  _
platform powerpc-apple-darwin7.9.0
arch powerpc
os   darwin7.9.0
system   powerpc, darwin7.9.0
status
major2
minor1.1
year 2005
month06
day  20
language R


At 12:13 PM -0700 7/29/05, Tae-Hoon Chung wrote:
Hi, All;

I have a question. In R, what is the best way to make R idle for a while and
try something again later? For example, suppose there is an R job which
accesses a file that may be shared with other active jobs. So when the file
is being accessed by other job, your job will not be able to access the file
and your job will crash because of that. To avoid this, you want your job to
try to access the file repeatedly with some time interval, say every 10
seconds or something like that. Which is the best way to do this in R?


--
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


-- 
--
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA

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Re: [R] Using nonlinear regression

2005-08-15 Thread Spencer Graves
  Do you want to estimate the parameters of a lognormal distribution or 
learn how to do nonlinear regression in R?

  If the former, as far as I know, the best known method is maximum 
likelihood, for which the answer is to compute mean and standard 
deviations of the logs.  This assumes you are talking about the 
2-parameter lognormal.  I don't know the best method for a 3-parameter 
lognormal.  If that's what you want, PLEASE do read the posting guide! 
http://www.R-project.org/posting-guide.html;.  Doing so can increase 
the chances of getting a useful reply.

  If you want examples of nonlinear regression, have you considered 
nls and optim?

  spencer graves

Mark Miller wrote:
 Attached is a copy of my code, the data and the plots obtained by varying 
 terms manually, I was told that nonlinear regression in R could find the 
 values for me, but I am unable to figure how exactly I could implement this.  
 Any help would be very greatly appreciated as I am completely stuck on this 
 problem.
 
 
 On Thursday 04 August 2005 13:40, you wrote:
 
It might be good to have an example of your problem.

On Aug 4, 2005, at 5:57 AM, Mark Miller wrote:

Hi, I have been trying to figure out how to use the nonlinear
regression to
fit the cumulative lognormal distribution to a number of data
points I have
but I am a new R user and I cant quite decipher the notes on nonlinear
regression.  Any help in this regard will be greatly appreciated,
my email
address is [EMAIL PROTECTED]

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rm(list=ls())

outPut = read.csv(dataOut2.csv)
arrive = outPut[1]
register = outPut[2]
complete = outPut[3]


IAT = 0
TTR = 0
TTC = 0
TFR = 0
cnt = 1

for(i in array(2:dim(arrive)[1]))
{
 temp = outPut[i,3]-outPut[i,2]
 if(temp  0)
 {
 IAT[cnt] = outPut[i,1]-outPut[i-1,1]
 TTR[cnt] = outPut[i,2]-outPut[i,1]
 TFR[cnt] = outPut[i,3]-outPut[i,2]
 cnt = cnt + 1
 }
}

cumIAT = IAT/sum(IAT)
for(i in array(2:length(IAT)))
{
 cumIAT[i] = cumIAT[i-1]+cumIAT[i]
}
cumIAT[1] = 0
plot(cumIAT,do.point=F)


TTR[cnt] = outPut[1,2]-outPut[1,1]
TFR[cnt] = outPut[1,3]-outPut[1,2]

# Plot for inter-arrival times
x = seq(0,30,0.01)
#postscript(cumIAT.ps)
plot(ecdf(IAT), do.point=FALSE)
lines(x, pexp(x,0.4))
dev.off()
# rexp(100,0.21)

x = seq(0,20,0.01)
postscript(cumTTR.ps)
plot(ecdf(TTR), do.point=FALSE)
lines(x, plnorm(x,1,0.7))
dev.off()
# rlnorm(100,1,0.7)

# Plot for Time to complete from registered
x = seq(0,30,0.01)
postscript(cumTFR.ps)
plot(ecdf(TFR), do.point=FALSE)
lines(x*600, pbeta(x,1.4,4.3))
dev.off()
# rbeta(100,1.6,5)*600

# Find the position with the leat time and hence the next avaliable ambulance
minimum = function(toFind)
{
 min = 0;
 pos = 0;
 for(i in array(1:length(toFind)))
 {
 if(i == 1)
 {
 min = toFind[i]
 pos = i
 }
 else
 {
 if(toFind[i]  min)
 {
 min = toFind[i]
 pos = i
 }
 }
 } 

 pos
}

ambsReq = 0
numAmbs = 0
numberAmbs = 0
avgWait = 1
numberAmbs2 = 0
avgWaitTime2 = 0
avgWaitTime = 0
counter = 0
counter2 = 1
cntO = 1

for(i in array(1:50))
{
 while(avgWait  0)
 {
 counter = counter + 1
 numAmbs = numAmbs + 1
 numberAmbs[counter] = numAmbs
 numCalls = 1
 ambs = array(c(array(0,numAmbs)), dim=c(numAmbs,numCalls))
 waitTime = ambs
 totalTime = ambs
 currTime = 0
 timeTS = 0
 IotherAT = 0
 TotherTR = 0
 
 for(i in array(1:500))
 {
 #interAT = IAT(ceil(rand()*length(IAT)));
 interAT = rexp(1,0.21)
 #timeTR = TTR(ceil(rand()*length(TTR)));
 timeTR = rlnorm(1,1,0.7)
 #timeFR = TFR(ceil(rand()*length(TFR)));
 timeFR = rbeta(1,1.4,4.3)*600

 IotherAT[i] = interAT
 TotherTR[i] = timeTR
 
 currTime = currTime + interAT
 
 pos = minimum(totalTime)

 if(ambs[pos,numCalls] != 0)
 {
 numCalls = numCalls + 1
 ambs = array(c(ambs,array(0,numAmbs)), 
 dim=c(numAmbs,numCalls))
 waitTime = array(c(waitTime,array(0,numAmbs)), 
 dim=c(numAmbs,numCalls))
 if(totalTime[pos]  currTime)
   

Re: [R] boot error: Error in statistic(data, original, ...) : unused argument(s) ( ...)

2005-08-15 Thread Thomas Lumley
On Sat, 13 Aug 2005, Prof Brian Ripley wrote:
 I suspect you want

 AdjForBase2 - function (data, inds)

 and to refer to data[inds, 1] and data[inds, 2], but since your code is
 completely devoid of spaces and indentation, I have paid it little
 attention.

http://msr.uwaterloo.ca/msr2005/papers/27.pdf  describes a study of 
student computer science projects from CVS logs in which the only code 
feature correlated with the final grade was the number of times a space 
was used after a comma.  [I'm not sure I like their analysis, though].


-thomas

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Re: [R] retrieving large columns using RODBC

2005-08-15 Thread bogdan romocea
This appears to be an SQL issue. Look for a way to speed up your
queries in Postgresql. I presume you haven't created an index on
'index', which means that every time you run your SELECT, Postgresql
is forced to do a full table scan (not good). If the index doesn't
solve the problem, look for some SQL help.


 -Original Message-
 From: Tamas K Papp [mailto:[EMAIL PROTECTED] 
 Sent: Saturday, August 13, 2005 4:03 AM
 To: R-help mailing list
 Subject: [R] retrieving large columns using RODBC
 
 
 Hi,
 
 I have a large table in Postgresql (result of an MCMC 
 simulation, with 1
 million rows) and I would like to retrive colums (correspond 
 to variables)
 using RODBC.  I have a column called index which is used to 
 order rows.
 
 Unfortunately, sqlQuery can't return all the values from a 
 column at once
 (RODBC complains about lack of memory).  So I am using the 
 following code:
 
 getcolumns - function(channel, tablename, colnames, totalrows,
   ordered=TRUE,chunksize=1e5) {
   r - matrix(double(0),totalrows,length(colnames))
   for (i in 1:ceiling(totalrows/chunksize)) {
 cat(.)
 r[((i-1)*chunksize+1):(i*chunksize)] - as.matrix(
   sqlQuery(channel, paste(SELECT, paste(colnames,collapse=, ),
   FROM, tablename,
   WHERE index =, i*chunksize,
   AND index , (i-1)*chunksize,
   if (ordered) ORDER BY index; 
 else ;)))
   }
   cat(\n)
   drop(r)   # convert to vector if needed
 }
 
 to retrieve it in chunks.  However, this is very slow -- 
 takes about 15
 minutes on my machine.  Is there a way to speed it up?
 
 I am running Linux on a powerbook, RODBC version 1.1-4, R 2.1.1.  The
 machine has only 512 Mb of RAM.
 
 Thanks,
 
 Tamas
 
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[R] relation between cex.axis and pointsize in graphics device

2005-08-15 Thread Knut Krueger
I am not able to see the relation between this parameters.
Will I get the same result with 

pointsize=24 and  cex.axis=1
and
pointsize=12 and  cex.axis=2

It seems that the fonts will be only scaled when I am changing the 
pointsize after printing
and it seem that they will be drawn in a better resoultion with the 
second way pointsize=12 and  cex.axis=2


 bmp(filename = Rplot%03d.bmp, width = 480, height = 480,
 pointsize = 24, bg = white, res = NA)

 axis(1, 1:7, LETTERS[1:7], cex.axis=1)   



 bmp(filename = Rplot%03d.bmp, width = 480, height = 480,

 pointsize = 12, bg = white, res = NA)



 axis(1, 1:7, LETTERS[1:7], cex.axis=2) 



 

with regards
Knut Krueger

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Re: [R] retrieving large columns using RODBC

2005-08-15 Thread Prof Brian Ripley
On Mon, 15 Aug 2005, bogdan romocea wrote:

 This appears to be an SQL issue. Look for a way to speed up your
 queries in Postgresql. I presume you haven't created an index on
 'index', which means that every time you run your SELECT, Postgresql
 is forced to do a full table scan (not good). If the index doesn't
 solve the problem, look for some SQL help.

If that were the case the fact that sqlQuery is not being used properly 
(it can do the query and return the results in blocks) is likely to be 
the problem.  But then we do ask people to read the help page before 
posting.



 -Original Message-
 From: Tamas K Papp [mailto:[EMAIL PROTECTED]
 Sent: Saturday, August 13, 2005 4:03 AM
 To: R-help mailing list
 Subject: [R] retrieving large columns using RODBC


 Hi,

 I have a large table in Postgresql (result of an MCMC
 simulation, with 1
 million rows) and I would like to retrive colums (correspond
 to variables)
 using RODBC.  I have a column called index which is used to
 order rows.

 Unfortunately, sqlQuery can't return all the values from a
 column at once
 (RODBC complains about lack of memory).  So I am using the
 following code:

 getcolumns - function(channel, tablename, colnames, totalrows,
   ordered=TRUE,chunksize=1e5) {
   r - matrix(double(0),totalrows,length(colnames))
   for (i in 1:ceiling(totalrows/chunksize)) {
 cat(.)
 r[((i-1)*chunksize+1):(i*chunksize)] - as.matrix(
   sqlQuery(channel, paste(SELECT, paste(colnames,collapse=, ),
   FROM, tablename,
   WHERE index =, i*chunksize,
   AND index , (i-1)*chunksize,
   if (ordered) ORDER BY index;
 else ;)))
   }
   cat(\n)
   drop(r)   # convert to vector if needed
 }

 to retrieve it in chunks.  However, this is very slow --
 takes about 15
 minutes on my machine.  Is there a way to speed it up?

 I am running Linux on a powerbook, RODBC version 1.1-4, R 2.1.1.  The
 machine has only 512 Mb of RAM.

 Thanks,

 Tamas

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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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[R] Testing.

2005-08-15 Thread Rolf Turner

Please ignore this message; I apologise for the annoyance.

cheers,

Rolf

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Re: [R] Re-sort list of vectors

2005-08-15 Thread Jan Hummel
 Thanks a lot! But unfortunately I will not know the dimensions of both lists. 
And further, the lists may be (partly) disjoint as: x - list(1=c(a=1, b=2, 
c=3), 2=c(d=4, b=5, e=6)). And last but not least I'm really have to have 
access to the names of the named list items.

The problem I dealt with is in unlist() merging the names together, as you can 
see in your example given: V1, V2 and V3. Because off interpreting the 
names later as identifiers in db queries I'm really interested in getting 
something like list(a=c(1=1), b=c(1=2, 2=5), c=c(1=3), 
d=c(1=4), e=c(1=6)) for the above input. 
By giving the result this way I'm able to extract both names from two sets as 
well as the according value between both items.

One point could be to build a matrix but this matrix would have many NA's. So I 
prefer Lists of Lists.

Any ideas?

cheers
Jan

-Ursprüngliche Nachricht-
Von: Liaw, Andy [mailto:[EMAIL PROTECTED] 
Gesendet: Montag, 15. August 2005 17:31
An: Jan Hummel; r-help@stat.math.ethz.ch
Betreff: RE: [R] Re-sort list of vectors

If all vectors in the list have the same length, why not use a matrix?  Then 
you'd just transpose the matrix if you need to.  If you really have to have it 
as a list, here's one possibility:

 x - list(1=c(a=1, b=2, c=3), 2=c(a=4, b=5, c=6)) x
$1
a b c
1 2 3 

$2
a b c
4 5 6 
 as.list(as.data.frame(t(matrix(unlist(x), nrow=3
$V1
[1] 1 4

$V2
[1] 2 5

$V3
[1] 3 6

Andy


 From: Jan Hummel
 
 Hi.
 Can anyone suggest a simple way to re-sort in R a list of vectors of 
 the following form?
 
 input
 $1
   a   b   c
   1   2   3
 $2
   a   b   c
   4   5   6
 
 Output should be something like:
 a
   1 1
   2 4
 b
   1 2
   2 5
 c
   1 3
   2 6
 
 I've been futzing with mapply(), outer(), split(), rbind() and so on 
 but haven't found an elegant solution.
 
 Thanks,
 Jan.
 
 P.S. E-mailed CCs of posted replies appreciated.
 
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Re: [R] PCA problem in R

2005-08-15 Thread Berton Gunter
You are wrong. No covariance matrix is computed. Please don't speculate --
read the Help file which clearly states:

The calculation is done by a singular value decomposition of the (centered
and possibly scaled) data matrix, not by using eigen on the covariance
matrix. This is generally the preferred method for numerical accuracy. 

-- Bert Gunter

 I speculate that the underlying function transposes the 
 input data matrix and computes the the TxT [rather than SxS]
 covariance matrix and solves for the eigenvalues/vectors. 
 It then uses a linear transformation to get the results
 for the original input data matrix.
 
 Computationally, the above is much faster and uses less memory.
 
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Re: [R] PCA problem in R

2005-08-15 Thread Liaw, Andy
 From: Dennis Shea
 
 [SNIP] 
 On Sat, 13 Aug 2005, Alan Zhao wrote:
 
 When I have more variables than units, say a 195*10896 
 matrix which has
 10896 variables and 195 samples. prcomp will give only 
 195 principal
 components. I checked in the help, but there is no 
 explanation that why
 this happen.
 
 [SNIP]
 
 Sincerely,
 Zheng Zhao
 Aug-14-2005
 __
 
 Just yesterday I subscribed to r-help because I am planning
 on learning the basics of R ... today.   :-)
 Thus, I am not sure about the history of this question.
 
 The above situation, more variables than samples, 
 is commonly encounterd in the climate studies.
 Consider annual mean temperatures for 195 years
 on a coarse 72 [lat] x 144 [lon]  grid [72*144=10368 
 spatial variables]. 
 
 Let  S be the number of grid points and T be the number
 of years. I think there is a theorem (?Eckart-Young?) 
 which states that the maximum number of unique eigenvalues 
 is min(S,T). In your case 195 eigenvalues is correct. 
 I speculate that the underlying function transposes the 
 input data matrix and computes the the TxT [rather than SxS]
 covariance matrix and solves for the eigenvalues/vectors. 
 It then uses a linear transformation to get the results
 for the original input data matrix.
 
 Computationally, the above is much faster and uses less memory.

It is usually a good idea to consult the help page before speculating.
?prcomp has, in its `Detail' section:

The calculation is done by a singular value decomposition of the (centered
and possibly scaled) data matrix, not by using eigen on the covariance
matrix. This is generally the preferred method for numerical accuracy. 

Andy
 
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Re: [R] Re-sort list of vectors

2005-08-15 Thread Liaw, Andy
You could try using one of the sparse representations of matrices in the
SparseM or Matrix packages.  Both packages have vignettes.

Andy

 From: Jan Hummel
 
  Thanks a lot! But unfortunately I will not know the 
 dimensions of both lists. And further, the lists may be 
 (partly) disjoint as: x - list(1=c(a=1, b=2, c=3), 
 2=c(d=4, b=5, e=6)). And last but not least I'm really have 
 to have access to the names of the named list items.
 
 The problem I dealt with is in unlist() merging the names 
 together, as you can see in your example given: V1, V2 
 and V3. Because off interpreting the names later as 
 identifiers in db queries I'm really interested in getting 
 something like list(a=c(1=1), b=c(1=2, 2=5), 
 c=c(1=3), d=c(1=4), e=c(1=6)) for the above input. 
 By giving the result this way I'm able to extract both names 
 from two sets as well as the according value between both items.
 
 One point could be to build a matrix but this matrix would 
 have many NA's. So I prefer Lists of Lists.
 
 Any ideas?
 
 cheers
   Jan
 
 -Ursprüngliche Nachricht-
 Von: Liaw, Andy [mailto:[EMAIL PROTECTED] 
 Gesendet: Montag, 15. August 2005 17:31
 An: Jan Hummel; r-help@stat.math.ethz.ch
 Betreff: RE: [R] Re-sort list of vectors
 
 If all vectors in the list have the same length, why not use 
 a matrix?  Then you'd just transpose the matrix if you need 
 to.  If you really have to have it as a list, here's one possibility:
 
  x - list(1=c(a=1, b=2, c=3), 2=c(a=4, b=5, c=6)) x
 $1
 a b c
 1 2 3 
 
 $2
 a b c
 4 5 6 
  as.list(as.data.frame(t(matrix(unlist(x), nrow=3
 $V1
 [1] 1 4
 
 $V2
 [1] 2 5
 
 $V3
 [1] 3 6
 
 Andy
 
 
  From: Jan Hummel
  
  Hi.
  Can anyone suggest a simple way to re-sort in R a list of 
 vectors of 
  the following form?
  
  input
  $1
  a   b   c
  1   2   3
  $2
  a   b   c
  4   5   6
  
  Output should be something like:
  a
  1 1
  2 4
  b
  1 2
  2 5
  c
  1 3
  2 6
  
  I've been futzing with mapply(), outer(), split(), rbind() 
 and so on 
  but haven't found an elegant solution.
  
  Thanks,
  Jan.
  
  P.S. E-mailed CCs of posted replies appreciated.
  
  __
  R-help@stat.math.ethz.ch mailing list
  https://stat.ethz.ch/mailman/listinfo/r-help
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  http://www.R-project.org/posting-guide.html
  
  
 
 
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[R] paste / system mystery

2005-08-15 Thread ivo_welch-rstat8303

Dear R wizards:

under R-2.1.0:

eargs - 3:5;
line - paste(c(echo A B, eargs));
cat(executing from R: ', line, '\n);
system(line);

Oddly, only A and B are echoed, not the eargs.  I had hoped that 
line would be one string at this point, and for printing this seems to 
be true.  However, unlist(line) still gives me the 4 components.  It 
almost seems like the objects were not really pasted, but kept separate 
[perhaps to conserve memory]---which works internally, but not 
externally.

Is this my poor understanding of R, an R feature, or an R bug?

help appreciated.

/iaw


---
ivo welch

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Re: [R] Re-sort list of vectors

2005-08-15 Thread jim holtman
Not that I like loops, but here is a quick and dirty way of doing it:

Result - list()
for (i in names(x)){
for (j in names(x[[i]])){
Result[[j]][[i]] - x[[i]][[j]]
}
}


On 8/15/05, Liaw, Andy [EMAIL PROTECTED] wrote:
 You could try using one of the sparse representations of matrices in the
 SparseM or Matrix packages.  Both packages have vignettes.
 
 Andy
 
  From: Jan Hummel
 
   Thanks a lot! But unfortunately I will not know the
  dimensions of both lists. And further, the lists may be
  (partly) disjoint as: x - list(1=c(a=1, b=2, c=3),
  2=c(d=4, b=5, e=6)). And last but not least I'm really have
  to have access to the names of the named list items.
 
  The problem I dealt with is in unlist() merging the names
  together, as you can see in your example given: V1, V2
  and V3. Because off interpreting the names later as
  identifiers in db queries I'm really interested in getting
  something like list(a=c(1=1), b=c(1=2, 2=5),
  c=c(1=3), d=c(1=4), e=c(1=6)) for the above input.
  By giving the result this way I'm able to extract both names
  from two sets as well as the according value between both items.
 
  One point could be to build a matrix but this matrix would
  have many NA's. So I prefer Lists of Lists.
 
  Any ideas?
 
  cheers
Jan
 
  -Ursprüngliche Nachricht-
  Von: Liaw, Andy [mailto:[EMAIL PROTECTED]
  Gesendet: Montag, 15. August 2005 17:31
  An: Jan Hummel; r-help@stat.math.ethz.ch
  Betreff: RE: [R] Re-sort list of vectors
 
  If all vectors in the list have the same length, why not use
  a matrix?  Then you'd just transpose the matrix if you need
  to.  If you really have to have it as a list, here's one possibility:
 
   x - list(1=c(a=1, b=2, c=3), 2=c(a=4, b=5, c=6)) x
  $1
  a b c
  1 2 3
 
  $2
  a b c
  4 5 6
   as.list(as.data.frame(t(matrix(unlist(x), nrow=3
  $V1
  [1] 1 4
 
  $V2
  [1] 2 5
 
  $V3
  [1] 3 6
 
  Andy
 
 
   From: Jan Hummel
  
   Hi.
   Can anyone suggest a simple way to re-sort in R a list of
  vectors of
   the following form?
  
   input
   $1
   a   b   c
   1   2   3
   $2
   a   b   c
   4   5   6
  
   Output should be something like:
   a
   1 1
   2 4
   b
   1 2
   2 5
   c
   1 3
   2 6
  
   I've been futzing with mapply(), outer(), split(), rbind()
  and so on
   but haven't found an elegant solution.
  
   Thanks,
   Jan.
  
   P.S. E-mailed CCs of posted replies appreciated.
  
   __
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   http://www.R-project.org/posting-guide.html
  
  
  
 
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-- 
Jim Holtman
Convergys
+1 513 723 2929

What the problem you are trying to solve?

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Re: [R] PCA problem in R

2005-08-15 Thread Prof Brian Ripley
On Mon, 15 Aug 2005, Dennis Shea wrote:

 [SNIP]
 On Sat, 13 Aug 2005, Alan Zhao wrote:

 When I have more variables than units, say a 195*10896 matrix which has
 10896 variables and 195 samples. prcomp will give only 195 principal
 components. I checked in the help, but there is no explanation that why
 this happen.

 [SNIP]

 Sincerely,
 Zheng Zhao
 Aug-14-2005
 __

 Just yesterday I subscribed to r-help because I am planning
 on learning the basics of R ... today.   :-)
 Thus, I am not sure about the history of this question.

 The above situation, more variables than samples,
 is commonly encounterd in the climate studies.
 Consider annual mean temperatures for 195 years
 on a coarse 72 [lat] x 144 [lon]  grid [72*144=10368
 spatial variables].

Which are variables and which are samples here?  In standard statistical 
parlance you have 195 variables at 10368 samples. In some fields there are 
the concepts of R-mode and Q-mode PCA, and you seem to be in Q-mode, which 
is why you have a transpose.

 Let  S be the number of grid points and T be the number
 of years. I think there is a theorem (?Eckart-Young?)
 which states that the maximum number of unique eigenvalues
 is min(S,T). In your case 195 eigenvalues is correct.

Eigenvalues of what?  Eckart-Young is about the SVD, see e.g.

http://voteview.com/ideal_point_Eckart_Young_Theorem.htm

as Googling easily shows.  (It is used to prove some of the approximation 
properties of PCA, e.g. in

http://www.stats.ox.ac.uk/~ripley/MultAnal_MT2004/PCA.pdf)

 I speculate that the underlying function transposes the
 input data matrix and computes the the TxT [rather than SxS]
 covariance matrix and solves for the eigenvalues/vectors.
 It then uses a linear transformation to get the results
 for the original input data matrix.

 Computationally, the above is much faster and uses less memory.

You speculate incorrectly, even in your Q-mode view of the world.
The real point is that is solves a different problem, which is what my 
answer to the original post was about.

 PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html

It really would be a good idea to do the homework it suggests.

-- 
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] paste / system mystery

2005-08-15 Thread Thomas Lumley
On Mon, 15 Aug 2005 [EMAIL PROTECTED] wrote:


 Dear R wizards:

 under R-2.1.0:

 eargs - 3:5;
 line - paste(c(echo A B, eargs));
 cat(executing from R: ', line, '\n);
 system(line);

 Oddly, only A and B are echoed, not the eargs.  I had hoped that
 line would be one string at this point, and for printing this seems to
 be true.  However, unlist(line) still gives me the 4 components.  It
 almost seems like the objects were not really pasted, but kept separate
 [perhaps to conserve memory]---which works internally, but not
 externally.

 Is this my poor understanding of R, an R feature, or an R bug?


It's your understanding.  Look at the `collapse' argument to paste().

-thomas

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Re: [R] paste / system mystery

2005-08-15 Thread Douglas Bates
On 8/15/05, [EMAIL PROTECTED]
[EMAIL PROTECTED] wrote:
 
 Dear R wizards:
 
 under R-2.1.0:
 
 eargs - 3:5;
 line - paste(c(echo A B, eargs));
 cat(executing from R: ', line, '\n);
 system(line);
 
 Oddly, only A and B are echoed, not the eargs.  I had hoped that
 line would be one string at this point, and for printing this seems to
 be true.  However, unlist(line) still gives me the 4 components.  It
 almost seems like the objects were not really pasted, but kept separate
 [perhaps to conserve memory]---which works internally, but not
 externally.
 
 Is this my poor understanding of R, an R feature, or an R bug?

Poor understanding but the mistake is a common one.  If you want to
form a character vector of length 1 you must use the collapse
argument to paste().  Try

 eargs - 3:5
 paste(echo A B, paste(eargs, collapse =  ))
[1] echo A B 3 4 5


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Re: [R] paste / system mystery

2005-08-15 Thread Uwe Ligges
[EMAIL PROTECTED] wrote:

 Dear R wizards:
 
 under R-2.1.0:
 
 eargs - 3:5;
 line - paste(c(echo A B, eargs));
 cat(executing from R: ', line, '\n);
 system(line);
 
 Oddly, only A and B are echoed, not the eargs.  I had hoped that 
 line would be one string at this point, and for printing this seems to 
 be true.  However, unlist(line) still gives me the 4 components.  It 
 almost seems like the objects were not really pasted, but kept separate 
 [perhaps to conserve memory]---which works internally, but not 
 externally.
 
 Is this my poor understanding of R, an R feature, or an R bug?

Feature:
The arguments of paste() get pasted, and you have just specified one 
argument which is a character *vector*.
You want to say that the elements of the vector should be pasted as follows:

line - paste(c(echo A B, eargs), collapse =  )

Uwe Ligges




 help appreciated.
 
 /iaw
 
 
 ---
 ivo welch
 
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Re: [R] Compilation failures: mgcv, spatstat, Matrix, cluster

2005-08-15 Thread Douglas Bates
On 8/13/05, Paul Roebuck [EMAIL PROTECTED] wrote:
 On Sat, 13 Aug 2005, Michael Kubovy wrote:
 
  With Version 2.1.1  (2005-06-20) on Power Mac G5 running Mac OS X
  10.4.2 (8C46):
 
  Some compilations work (e.g., MatchIt, RGraphics, Zelig), and some
  don't, e.g., mgcv, spatstat,  and the following (Matrix, cluster):
 
  trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/
  Matrix_0.98-3.tar.gz'
  Content type 'application/x-tar' length 626712 bytes
  opened URL
  ==
  downloaded 612Kb
 
  * Installing *source* package 'Matrix' ...
  ** libs
 
  The downloaded packages are in
   /private/tmp/RtmpPddsAE/downloaded_packages
  gcc-3.3 -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/
  include  -I/usr/local/include  -I./Metis -fno-common  -g -O2 -c
  HBMM.c -o HBMM.o
  In file included from HBMM.c:2:
  iohb.h:6:19: malloc.h: No such file or directory
  make: *** [HBMM.o] Error 1
  ERROR: compilation failed for package 'Matrix'
 
 Didn't check package for actually functioning correctly,
 but the following changes will allow compilation on OS X
 10.3. In ANSI C, the standard memory allocation routines
 are declared in stdlib.h; malloc.h is obsolete for that
 purpose and isn't guaranteed to exist.
 
 
 Matrix/src/mmio.c:
 Add #include stdlib.h
 Remove #include malloc.h
 
 Matrix/src/iohb.h:
 Remove #include malloc.h

Thanks for the suggestion, Paul.  I wasn't quite as sloppy as it may
seem.  I recently introduced the iohb.[hc] and mmio.[hc] files from
NIST into the Matrix package but I didn't check them thoroughly before
doing so.  I should have.  Those are not the only antiquated C
constructs in those files.  The author of iohb.c also assumes that he
can pass a string constant to a function that modifies the contents of
that argument and, of course, gcc will produce code that segfaults at
that point if you do not use -fwriteable-strings and we don't want to
do that.

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Re: [R] How to insert a certain model in SVM regarding to fixed kernels

2005-08-15 Thread Amir Safari
 
Dear David, Dear Gabor , Dear All,
Many thanks for your reply and informative emails. 
Actually I think it is difficult to define for example a regression model 
within a SVM framework theoretically and experimentaly. What we have to do is 
that we work on input data to construct model befor entering data into SVM. 
This procedure ( building a certain model) can be viewed as a preprocessing of 
data and or model building. Doesn't it? 
Parametric models are basically rejected, because SVM learns only nonparametric 
ones.
I would be very appreciated again if I have any correction or guidance.
Have a fun,
Amir
 
 
 
 
 [EMAIL PROTECTED] wrote:
On 8/12/05, Gabor Grothendieck wrote:
 David, Please correct me if I am wrong but I think svm partially works
 with dyn although I don't remember what the specific limitations were.
 Its possible that what works already is enough for Amir. For example,
 
 library(e1071)
 library(dyn)
 set.seed(1)
 y - ts(rnorm(100))
 y.svm - dyn$svm(y ~ lag(y))

The above statement should have been y.svm - dyn$svm(y ~ lag(y,-1))
since we want to bring the previous value of y forward so that it is being
used to predict y (rather than predicting y by bringing the future value of y
backward). In R positive values for the lag move the series backward
and negative values move it forward.

 yp - predict(y.svm)
 ts.plot(y, yp, col = 1:2)
 
 On 8/12/05, David Meyer wrote:
  Amir,
 
  
   Suppose that we want to regress for example a certain autoregressive
   model using SVM. We have our data and also some fixed kernels in
   libSVM behinde e1071 in front. The question: Where can we insert our
   certain autoregressive model ? During creating data frame ?
 
  Yes, I think.
 
   Or perhaps we can make a
   relationship between our variables ended to desired autoregressive
   model ?
 
  Gabor Grothendieck's `dyn` package provides support for the use of
  general regression functions for time series analysis, and we are
  currently struggling to integrate the e1071 interface into that
  framework (but nothing is ready so far). Is it that kind of support you
  have been looking for?
 
  Cheers,
  David
 
  
   Thanks a lot for your help.
   Amir Safari
  
  
  
  
   __
   Do You Yahoo!?

   http://mail.yahoo.com
 
 
  --
  Dr. David Meyer
  Department of Information Systems and Operations
 
  Vienna University of Economics and Business Administration
  Augasse 2-6, A-1090 Wien, Austria, Europe
  Fax: +43-1-313 36x746
  Tel: +43-1-313 36x4393
  HP: http://wi.wu-wien.ac.at/~meyer/
 
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Re: [R] monte carlo simulations/lmer

2005-08-15 Thread Douglas Bates
On 8/13/05, Eduardo Leoni [EMAIL PROTECTED] wrote:
 Hi - I am doing some monte carlo simulations comparing bayesian (using
 Plummer's jags) and maximum likelihood (using lmer from package lme4
 by Bates et al).
 
 I would like to know if there is a way I can flag nonconvergence and
 exceptions. Currently the simulations just stop and the output reads
 things like:
 
 Error in optim(.Call(lmer_coef, x, 2, PACKAGE = Matrix), fn, gr,
 method = L-BFGS-B,  :
 L-BFGS-B needs finite values of 'fn'
 In addition: Warning message:
 Leading minor of size 1 of downdated X'X is indefinite
 
 Error in .local(object, ...) : Leading 2 minor of Omega[[1]] not
 positive definite
 In addition: Warning messages:
 1: optim or nlminb returned message ERROR: ABNORMAL_TERMINATION_IN_LNSRCH
 in: LMEoptimize-(`*tmp*`, value = list(maxIter = 200, msMaxIter = 200,
 2: optim or nlminb returned message ERROR: ABNORMAL_TERMINATION_IN_LNSRCH
 in: LMEoptimize-(`*tmp*`, value = list(maxIter = 200, msMaxIter = 200,

As Rolf Turner indicated, you can wrap the call to lmer in try() to
prevent breaking the loop on convergence failure.  I'm not sure
exactly what Bayesian analysis you are doing but you may want to look
at the function mcmcsamp in versions 0.98-1and later of the Matrix
package.  It can take a fitted lmer object and create an MCMC sample
from the posterior distribution of the parameters assuming a locally
uniform prior on the fixed-effects parameters and the non-informative
prior described by Box and Tiao for the variance-covariance matrices.

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[R] randomForest Error passing string argument

2005-08-15 Thread mmv
I'm attempting to pass a string argument into the function
randomForest but I get an error:

state - paste(list(fruit ~, apples+oranges+blueberries,
data=fruits.data, mtry=2, do.trace=100, na.action=na.omit,
keep.forest=TRUE), sep=  , collapse=)

model.rf - randomForest(state)

Error in if (n==0) stop (data(x) has 0 rows) argument is of length zero.

-Thanks in advance,

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[R] How to get a list work in RData file

2005-08-15 Thread Xiyan Lon
Dear R-Helper,
I want to know how I get a list  work which I saved in RData file. For 
example,

  test.xy - function(x,y) {
+xy - x+y
+xy
+ }
 
  xyadd - test.xy(x=2, y=3)
  xyadd
[1] 5
  x1 - c(2,43,60,8)
  y1 - c(91,7,5,30)
 
  xyadd1 - test.xy(x=x1, y=y1)
  xyadd1
[1] 93 50 65 38
  save(list = ls(all=TRUE), file = testxy.RData)
  rm(list=ls(all=TRUE))
  load(C:/R/useR/testxy.RData)
  ls()
[1] test.xy x1  xyadd   xyadd1  y1
 
  ls.str(pat=xyadd)
xyadd :  num 5
xyadd1 :  num [1:4] 93 50 65 38
 

When I run, I know the result like above
  xyadd
[1] 5
  xyadd1
[1] 93 50 65 38
 
what I want to know, is there any function to make the result like:

  xyadd

 test.xy(x=2, y=3)

and

  xyadd1

test.xy(x=x1, y=y1)

Best,
Xiyan Lon

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[R] How to repeat code snippet for several variables in a data frame?

2005-08-15 Thread Sander Oom
Dear all,

I have a data frame containing the results of an experiment. Like this:

a-seq(1,4,by=1)
b-seq(1,2,by=1)
test-expand.grid(b,a,a)
colnames(test)-c(replicates,bins, groups)
test$abc - rnorm(32)
test$def - rnorm(32)
test$ghi - rnorm(32)
test

The following code snippet aggregates the data for one variable and then 
draws a plot:

tmp - aggregate(test$abc, list(
   test$bins, test$groups),
   mean)
colnames(tmp) - c(bins, groups, abc)
tmp
#pltName - paste(line_datGrassChem_, abc, .eps, sep=)
#postscript(pltName)
   labs - c(-15/-9,-9/-6,-6/-3,-3/0)
   sps - trellis.par.get(superpose.symbol)
   sps$pch - 1:4
   trellis.par.set(superpose.symbol, sps)
   xyplot( abc ~ bins, data = tmp,
 groups = groups, type = list(p, l),
 scales = list(x = list(labels=labs)),
 layout = c(1,1),
 key = list(columns = 4,
   text = list(paste(unique(tmp$groups))),
   points = Rows(sps, 1:4)
   )
   )
#dev.off()

How can I wrap R code around this code snippet, such that I can repeat 
the same code snippet for all other variables in the data frame (i.e. 
def, ghi, etc.).

Thanks for your suggestions!

Sander.

-- 

Dr Sander P. Oom
Animal, Plant and Environmental Sciences,
University of the Witwatersrand
Private Bag 3, Wits 2050, South Africa
Tel (work)  +27 (0)11 717 64 04
Tel (home)  +27 (0)18 297 44 51
Fax +27 (0)18 299 24 64
Email   [EMAIL PROTECTED]
Web www.oomvanlieshout.net/sander

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Re: [R] Manually Calculating Odds from POLR Model

2005-08-15 Thread Tate Avery
John,

Thank you, the document was very helpful.  I can now calculate the same 
values generated by predict() when I am using purely numeric input data.

Another small question arises when I look at the example using 'housing' in 
the polr() documentation page:

Running the example produces the following coefficients...

Coefficients:
   InflMedium  InflHigh TypeApartmentTypeAtrium   TypeTerrace  
ContHigh
0.5663924 1.2888218-0.5723552-0.3661912-1.0910195 
0.3602834

Now, if I am trying to perform a prediction and the value for INFL comes in 
as 'Medium' what is done?  And, what is done for 'low'?

That seems to be the last missing piece in my understanding of how to 
convert the model values into predictions.

Thank you,
Tate

From: John Fox [EMAIL PROTECTED]
To: 'Tate Avery' [EMAIL PROTECTED]
CC: r-help@stat.math.ethz.ch
Subject: RE: [R] Manually Calculating Odds from POLR Model
Date: Fri, 12 Aug 2005 19:22:23 -0400

Dear Tate,

If I understand correctly what you're asking, the formulas are on p. 21 of
the paper at
http://socserv.socsci.mcmaster.ca/jfox/Papers/logit-effect-displays.pdf.
But why do you want to do this when you can get the fitted probabilities
from predict()?

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 Tate Avery
  Sent: Friday, August 12, 2005 2:50 PM
  To: r-help@stat.math.ethz.ch
  Subject: [R] Manually Calculating Odds from POLR Model
 
  Hello,
 
  I am using polr(...) to generate a model.  The summary shows
  the coefficients and the intercepts.
 
  For example:
 
  coefficient for x1 = c1
  coefficient for x2 = c2
 
  intercept A|B = i1
  intercept B|C = i2
 
  I can then run predict(..., type=p) with the model and see
  the odds for each factor.
 
  For example:
 
ABC
  10.3 0.5  0.2
  20.4 0.1  0.5
 
  What I really want to be able to do is take the 2
  coefficients, the 2 intercepts, the x1  x2 values and
  manually calculate the probabilities generated by predict().
 
  I have been searching quite extensively for the underlying
  calculations that transform the polr output and the input
  variables into the final output odds.  I have tried a number
  of dead-end roads so far.
 
  So, if anyone has any information on how to do this or where
  I can find out, I would be extremely grateful.
 
  Thank you for your time,
  Tate Avery
 
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[R] R CMD check failure on minimal code

2005-08-15 Thread Sean Davis
I have a peculiar problem that I'm sure is a simple one, but I can't figure
out what my mistake is.  Can someone enlighten me?  I have a simple file,
class.R:

##
setClass(abc,representation(a = character, b = ANY))

I have a package directory ExpressCGH1 made with package.skeleton.  The
package happily builds and installs, but R CMD check fails with (ignoring
the documenation warnings, etc.):

 version
 _ 
platform powerpc-apple-darwin7.9.0
arch powerpc   
os   darwin7.9.0
system   powerpc, darwin7.9.0
status   Patched   
major2 
minor1.1   
year 2005  
month08
day  12
language R 



%%% R CMD check -l '/User
s/sdavis/Library/R/library' ExpressCGH1
* checking for working latex ... OK
* using log directory
'/Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/E
xpressCGH1.Rcheck'
* using R version 2.1.1, 2005-08-12
* checking for file 'ExpressCGH1/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'ExpressCGH1' version '1.0'
* checking if this is a source package ... OK

* Installing *source* package 'ExpressCGH1' ...
** libs
WARNING: no source files found
chmod: /Users/sdavis/Library/R/library/ExpressCGH1/libs/*: No such file or
direc
tory
** R
** help
  Building/Updating help pages for package 'ExpressCGH1'
 Formats: text html latex example
  convertDNAcopyOutput  texthtmllatex   example
 missing link(s):  ~~fun~~
** building package indices ...
* DONE (ExpressCGH1)

* checking package directory ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking DESCRIPTION meta-information ... OK
* checking package dependencies ... OK
* checking index information ... OK
* checking package subdirectories ... WARNING
Subdirectory 'src' contains no source files.
* checking R files for syntax errors ... OK
* checking R files for library.dynam ... OK
* checking S3 generic/method consistency ... WARNING
Error: unable to load R code in package 'ExpressCGH1'
Call sequence:
2: stop(gettextf(unable to load R code in package '%s',
libraryPkgName(package
)), 
   call. = FALSE, domain = NA)
1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
FALSE)
Execution halted
See section 'Generic functions and methods' of the 'Writing R Extensions'
manual.
* checking replacement functions ... WARNING
Error: unable to load R code in package 'ExpressCGH1'
Call sequence:
2: stop(gettextf(unable to load R code in package '%s',
libraryPkgName(package
)), 
   call. = FALSE, domain = NA)
1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
FALSE)
Execution halted
In R, the argument of a replacement function which corresponds to the right
hand side must be named 'value'.
* checking foreign function calls ... WARNING
Error: unable to load R code in package 'ExpressCGH1'
Call sequence:
2: stop(gettextf(unable to load R code in package '%s',
libraryPkgName(package
)), 
   call. = FALSE, domain = NA)
1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
FALSE)
Execution halted
See section 'System and foreign language interfaces' of the 'Writing R
Extensions' manual.
* checking Rd files ... WARNING
Rd files with likely Rd problems:
Unaccounted top-level text in file
'/Users/sdavis/Work/R-Programs/packages/devel
/ExpressCGH/ExpressCGH1/man/convertDNAcopyOutput.Rd':
Following section 'note':
\n\n ~Make other sections like Warning with \\section{Warning }{}
~\n\n

Rd files with non-standard keywords:
  
/Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/ExpressCGH1/man/conv
er
tDNAcopyOutput.Rd:
~kwd1 ~kwd2
Each '\keyword' entry should specify one of the standard keywords (as
listed in file 'KEYWORDS.db' in the 'doc' subdirectory of the R home
directory).

See chapter 'Writing R documentation files' in manual 'Writing R
Extensions'.
* checking for missing documentation entries ... ERROR
Error: unable to load R code in package 'ExpressCGH1'

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Re: [R] How to get a list work in RData file

2005-08-15 Thread Prof Brian Ripley
On Mon, 15 Aug 2005, Xiyan Lon wrote:

 Dear R-Helper,
(There are quite a few of us.)

 I want to know how I get a list  work which I saved in RData file. For
 example,

I don't understand that at all, but it looks as if you want to save an 
unevaluated call, in which case see ?quote and use something like

xyadd - quote(test.xy(x=2, y=3))

load and saving has nothing to do with this: it doesn't change the meaning 
of objects in the workspace.

  test.xy - function(x,y) {
 +xy - x+y
 +xy
 + }
 
  xyadd - test.xy(x=2, y=3)
  xyadd
 [1] 5
  x1 - c(2,43,60,8)
  y1 - c(91,7,5,30)
 
  xyadd1 - test.xy(x=x1, y=y1)
  xyadd1
 [1] 93 50 65 38
  save(list = ls(all=TRUE), file = testxy.RData)
  rm(list=ls(all=TRUE))
  load(C:/R/useR/testxy.RData)
  ls()
 [1] test.xy x1  xyadd   xyadd1  y1
 
  ls.str(pat=xyadd)
 xyadd :  num 5
 xyadd1 :  num [1:4] 93 50 65 38
 

 When I run, I know the result like above
  xyadd
 [1] 5
  xyadd1
 [1] 93 50 65 38
 
 what I want to know, is there any function to make the result like:

  xyadd

 test.xy(x=2, y=3)

 and

  xyadd1

test.xy(x=x1, y=y1)

-- 
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] R CMD check failure on minimal code

2005-08-15 Thread Prof Brian Ripley
Did you remember to declare a dependency on package 'methods'?  I suspect 
not.  Please see `Writing R Extensions'.

setClass is not part of base R, and those checks are being run with base 
R only.  I expect your package will not load when R is run with no default 
packages.  (Quite a few people run R without package 'methods' for 
speed, especially on startup -- it takes about half the startup time.)

On Mon, 15 Aug 2005, Sean Davis wrote:

 I have a peculiar problem that I'm sure is a simple one, but I can't figure
 out what my mistake is.  Can someone enlighten me?  I have a simple file,
 class.R:

 ##
 setClass(abc,representation(a = character, b = ANY))

 I have a package directory ExpressCGH1 made with package.skeleton.  The
 package happily builds and installs, but R CMD check fails with (ignoring
 the documenation warnings, etc.):

 version
 _
 platform powerpc-apple-darwin7.9.0
 arch powerpc
 os   darwin7.9.0
 system   powerpc, darwin7.9.0
 status   Patched
 major2
 minor1.1
 year 2005
 month08
 day  12
 language R



 %%% R CMD check -l '/User
 s/sdavis/Library/R/library' ExpressCGH1
 * checking for working latex ... OK
 * using log directory
 '/Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/E
 xpressCGH1.Rcheck'
 * using R version 2.1.1, 2005-08-12
 * checking for file 'ExpressCGH1/DESCRIPTION' ... OK
 * checking extension type ... Package
 * this is package 'ExpressCGH1' version '1.0'
 * checking if this is a source package ... OK

 * Installing *source* package 'ExpressCGH1' ...
 ** libs
 WARNING: no source files found
 chmod: /Users/sdavis/Library/R/library/ExpressCGH1/libs/*: No such file or
 direc
 tory
 ** R
 ** help
  Building/Updating help pages for package 'ExpressCGH1'
 Formats: text html latex example
  convertDNAcopyOutput  texthtmllatex   example
 missing link(s):  ~~fun~~
 ** building package indices ...
 * DONE (ExpressCGH1)

 * checking package directory ... OK
 * checking for portable file names ... OK
 * checking for sufficient/correct file permissions ... OK
 * checking DESCRIPTION meta-information ... OK
 * checking package dependencies ... OK
 * checking index information ... OK
 * checking package subdirectories ... WARNING
 Subdirectory 'src' contains no source files.
 * checking R files for syntax errors ... OK
 * checking R files for library.dynam ... OK
 * checking S3 generic/method consistency ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
   call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 See section 'Generic functions and methods' of the 'Writing R Extensions'
 manual.
 * checking replacement functions ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
   call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 In R, the argument of a replacement function which corresponds to the right
 hand side must be named 'value'.
 * checking foreign function calls ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
   call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 See section 'System and foreign language interfaces' of the 'Writing R
 Extensions' manual.
 * checking Rd files ... WARNING
 Rd files with likely Rd problems:
 Unaccounted top-level text in file
 '/Users/sdavis/Work/R-Programs/packages/devel
 /ExpressCGH/ExpressCGH1/man/convertDNAcopyOutput.Rd':
 Following section 'note':
 \n\n ~Make other sections like Warning with \\section{Warning }{}
 ~\n\n

 Rd files with non-standard keywords:

 /Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/ExpressCGH1/man/conv
 er
 tDNAcopyOutput.Rd:
~kwd1 ~kwd2
 Each '\keyword' entry should specify one of the standard keywords (as
 listed in file 'KEYWORDS.db' in the 'doc' subdirectory of the R home
 directory).

 See chapter 'Writing R documentation files' in manual 'Writing R
 Extensions'.
 * checking for missing documentation entries ... ERROR
 Error: unable to load R code in package 'ExpressCGH1'

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 R-help@stat.math.ethz.ch mailing list
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 PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


-- 
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 

Re: [R] R CMD check failure on minimal code

2005-08-15 Thread Douglas Bates
On 8/15/05, Sean Davis [EMAIL PROTECTED] wrote:
 I have a peculiar problem that I'm sure is a simple one, but I can't figure
 out what my mistake is.  Can someone enlighten me?  I have a simple file,
 class.R:
 
 ##
 setClass(abc,representation(a = character, b = ANY))
 
 I have a package directory ExpressCGH1 made with package.skeleton.  The
 package happily builds and installs, but R CMD check fails with (ignoring
 the documenation warnings, etc.):

Can you declare a slot to have class ANY?  You can use class ANY
in a method signature but I don't think you can use it for a slot.

Try to see if you can attach the package in R.  That may give more
informative errors.

 
  version
  _
 platform powerpc-apple-darwin7.9.0
 arch powerpc
 os   darwin7.9.0
 system   powerpc, darwin7.9.0
 status   Patched
 major2
 minor1.1
 year 2005
 month08
 day  12
 language R
 
 
 
 %%% R CMD check -l '/User
 s/sdavis/Library/R/library' ExpressCGH1
 * checking for working latex ... OK
 * using log directory
 '/Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/E
 xpressCGH1.Rcheck'
 * using R version 2.1.1, 2005-08-12
 * checking for file 'ExpressCGH1/DESCRIPTION' ... OK
 * checking extension type ... Package
 * this is package 'ExpressCGH1' version '1.0'
 * checking if this is a source package ... OK
 
 * Installing *source* package 'ExpressCGH1' ...
 ** libs
 WARNING: no source files found
 chmod: /Users/sdavis/Library/R/library/ExpressCGH1/libs/*: No such file or
 direc
 tory
 ** R
 ** help
   Building/Updating help pages for package 'ExpressCGH1'
  Formats: text html latex example
   convertDNAcopyOutput  texthtmllatex   example
  missing link(s):  ~~fun~~
 ** building package indices ...
 * DONE (ExpressCGH1)
 
 * checking package directory ... OK
 * checking for portable file names ... OK
 * checking for sufficient/correct file permissions ... OK
 * checking DESCRIPTION meta-information ... OK
 * checking package dependencies ... OK
 * checking index information ... OK
 * checking package subdirectories ... WARNING
 Subdirectory 'src' contains no source files.
 * checking R files for syntax errors ... OK
 * checking R files for library.dynam ... OK
 * checking S3 generic/method consistency ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 See section 'Generic functions and methods' of the 'Writing R Extensions'
 manual.
 * checking replacement functions ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 In R, the argument of a replacement function which corresponds to the right
 hand side must be named 'value'.
 * checking foreign function calls ... WARNING
 Error: unable to load R code in package 'ExpressCGH1'
 Call sequence:
 2: stop(gettextf(unable to load R code in package '%s',
 libraryPkgName(package
 )),
call. = FALSE, domain = NA)
 1: library(package, lib.loc = lib.loc, character.only = TRUE, verbose =
 FALSE)
 Execution halted
 See section 'System and foreign language interfaces' of the 'Writing R
 Extensions' manual.
 * checking Rd files ... WARNING
 Rd files with likely Rd problems:
 Unaccounted top-level text in file
 '/Users/sdavis/Work/R-Programs/packages/devel
 /ExpressCGH/ExpressCGH1/man/convertDNAcopyOutput.Rd':
 Following section 'note':
 \n\n ~Make other sections like Warning with \\section{Warning }{}
 ~\n\n
 
 Rd files with non-standard keywords:
 
 /Users/sdavis/Work/R-Programs/packages/devel/ExpressCGH/ExpressCGH1/man/conv
 er
 tDNAcopyOutput.Rd:
 ~kwd1 ~kwd2
 Each '\keyword' entry should specify one of the standard keywords (as
 listed in file 'KEYWORDS.db' in the 'doc' subdirectory of the R home
 directory).
 
 See chapter 'Writing R documentation files' in manual 'Writing R
 Extensions'.
 * checking for missing documentation entries ... ERROR
 Error: unable to load R code in package 'ExpressCGH1'
 
 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


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[R] Anything like dir.choose (similar to file.choose) in R?

2005-08-15 Thread Earl F. Glynn
Does R have a dir.choose function?

I can use file.choose like this as a kludge to get something like a
dir.choose, but a real dir.choose would be better:

  cat(Select one of files in directory to process:\n)
  filename - gsub(, /, file.choose())
  basepath - dirname(filename)

Windows provides a lower-level SHBrowseForFolder function to create such a
dialog (see links below).  Do other platforms have similar functionality at
a lower level?  (Hoping this would be an easy addition to R.)

SHBrowseForFolder Function
http://msdn.microsoft.com/library/default.asp?url=/library/en-us/shellcc/platform/shell/reference/functions/shbrowseforfolder.asp

Using the Shell API function SHBrowseForFolder()
http://community.borland.com/article/0,1410,17008,00.html

efg
--
Earl F. Glynn
Bioinformatics
Stowers Institute for Medical Research

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[R] queer data set

2005-08-15 Thread S.O. Nyangoma
I have a dataset that is basically structureless. Its dimension varies 
from row to row and sep(s) are a mixture of tab and semi colon (;) and 
example is

HEADER1 HEADER2 HEADER3   HEADER3
A1   B1  C1   X11;X12;X13
A2   B2  C2   X21;X22;X23;X24;X25
A3   B3  C3   
A4   B4  C4   X41;X42;X43
A5   B5  C5   X51

etc., say. Note that a blank under HEADER3 corresponds to non 
occurance and all semi colon (;) delimited variables are under 
HEADER3. These values run into tens of thousands. I want to give some 
order to this queer matrix to something like:

HEADER1 HEADER2 HEADER3   HEADER3
A1   B1  C1   X11
A1   B1  C1   X12
A1   B1  C1   X13
A1   B1  C1   X14
A2   B2  C2   X21
A2   B2  C2   X22
A2   B2  C2   X23
A2   B2  C2   X24
A2   B2  C2   X25
A2   B2  C2   X26
A3   B3  C3   NA
A4   B4  C4   X41
A4   B4  C4   X42
A4   B4  C4   X43

Is there a brilliant R-way of doing such task?

Goodday. Stephen.








- Original Message -
From: Prof Brian Ripley [EMAIL PROTECTED]
Date: Monday, August 15, 2005 11:13 pm
Subject: Re: [R] How to get a list work in RData file

 On Mon, 15 Aug 2005, Xiyan Lon wrote:
 
  Dear R-Helper,
 (There are quite a few of us.)
 
  I want to know how I get a list  work which I saved in RData 
 file. For
  example,
 
 I don't understand that at all, but it looks as if you want to 
 save an 
 unevaluated call, in which case see ?quote and use something like
 
 xyadd - quote(test.xy(x=2, y=3))
 
 load and saving has nothing to do with this: it doesn't change the 
 meaning 
 of objects in the workspace.
 
   test.xy - function(x,y) {
  +xy - x+y
  +xy
  + }
  
   xyadd - test.xy(x=2, y=3)
   xyadd
  [1] 5
   x1 - c(2,43,60,8)
   y1 - c(91,7,5,30)
  
   xyadd1 - test.xy(x=x1, y=y1)
   xyadd1
  [1] 93 50 65 38
   save(list = ls(all=TRUE), file = testxy.RData)
   rm(list=ls(all=TRUE))
   load(C:/R/useR/testxy.RData)
   ls()
  [1] test.xy x1  xyadd   xyadd1  y1
  
   ls.str(pat=xyadd)
  xyadd :  num 5
  xyadd1 :  num [1:4] 93 50 65 38
  
 
  When I run, I know the result like above
   xyadd
  [1] 5
   xyadd1
  [1] 93 50 65 38
  
  what I want to know, is there any function to make the result like:
 
   xyadd
 
  test.xy(x=2, y=3)
 
  and
 
   xyadd1
 
 test.xy(x=x1, y=y1)
 
 -- 
 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-help@stat.math.ethz.ch mailing list
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Re: [R] Manually Calculating Odds from POLR Model

2005-08-15 Thread John Fox
Dear Tate,

Your question pertains generally to the treatment of factors in model
formulas and is not particular to polr(). For a brief explanation, see
Section 11.1, Defining statistical models; formulae, and in particular
Section 11.1.1 on Contrasts in the manual An Introduction to R, which is
distributed with R. More detailed explanations are in texts such as Venables
and Ripley, Modern Applied Statistics With S, and my own, An R and S-PLUS
Companion to Applied Regression. 

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: Tate Avery [mailto:[EMAIL PROTECTED] 
 Sent: Monday, August 15, 2005 3:58 PM
 To: [EMAIL PROTECTED]
 Cc: r-help@stat.math.ethz.ch
 Subject: RE: [R] Manually Calculating Odds from POLR Model
 
 John,
 
 Thank you, the document was very helpful.  I can now 
 calculate the same values generated by predict() when I am 
 using purely numeric input data.
 
 Another small question arises when I look at the example 
 using 'housing' in the polr() documentation page:
 
 Running the example produces the following coefficients...
 
 Coefficients:
InflMedium  InflHigh TypeApartmentTypeAtrium   
 TypeTerrace  
 ContHigh
 0.5663924 1.2888218-0.5723552-0.3661912
 -1.0910195 
 0.3602834
 
 Now, if I am trying to perform a prediction and the value for 
 INFL comes in as 'Medium' what is done?  And, what is done for 'low'?
 
 That seems to be the last missing piece in my understanding 
 of how to convert the model values into predictions.
 
 Thank you,
 Tate
 
 From: John Fox [EMAIL PROTECTED]
 To: 'Tate Avery' [EMAIL PROTECTED]
 CC: r-help@stat.math.ethz.ch
 Subject: RE: [R] Manually Calculating Odds from POLR Model
 Date: Fri, 12 Aug 2005 19:22:23 -0400
 
 Dear Tate,
 
 If I understand correctly what you're asking, the formulas 
 are on p. 21 
 of the paper at 
 http://socserv.socsci.mcmaster.ca/jfox/Papers/logit-effect-d
isplays.pdf.
 But why do you want to do this when you can get the fitted 
 probabilities from predict()?
 
 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 Tate Avery
   Sent: Friday, August 12, 2005 2:50 PM
   To: r-help@stat.math.ethz.ch
   Subject: [R] Manually Calculating Odds from POLR Model
  
   Hello,
  
   I am using polr(...) to generate a model.  The summary shows the 
   coefficients and the intercepts.
  
   For example:
  
   coefficient for x1 = c1
   coefficient for x2 = c2
  
   intercept A|B = i1
   intercept B|C = i2
  
   I can then run predict(..., type=p) with the model and see the 
   odds for each factor.
  
   For example:
  
 ABC
   10.3 0.5  0.2
   20.4 0.1  0.5
  
   What I really want to be able to do is take the 2 
 coefficients, the 
   2 intercepts, the x1  x2 values and manually calculate the 
   probabilities generated by predict().
  
   I have been searching quite extensively for the underlying 
   calculations that transform the polr output and the input 
 variables 
   into the final output odds.  I have tried a number of 
 dead-end roads 
   so far.
  
   So, if anyone has any information on how to do this or 
 where I can 
   find out, I would be extremely grateful.
  
   Thank you for your time,
   Tate Avery
  
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Re: [R] queer data set

2005-08-15 Thread Tony Plate
Here's one way of working with the data you gave:

  x - read.table(file(clipboard), fill=T, header=T)
  x
   HEADER1 HEADER2 HEADER3   HEADER3.1
1  A1  B1  C1 X11;X12;X13
2  A2  B2  C2 X21;X22;X23;X24;X25
3  A3  B3  C3
4  A4  B4  C4 X41;X42;X43
5  A5  B5  C5 X51
  apply(x, 1, function(x) strsplit(x[4], ;)[[1]])
$1
[1] X11 X12 X13

$2
[1] X21 X22 X23 X24 X25

$3
character(0)

$4
[1] X41 X42 X43

$5
[1] X51

  do.call(rbind, apply(x, 1, function(x) {
+y - strsplit(x[4], ;)[[1]]
+x3 - matrix(x[1:3], ncol=3, nrow=max(1,length(y)), byrow=T)
+return(cbind(x3, if (length(y)) y else NA))
+ }))
   [,1] [,2] [,3] [,4]
  [1,] A1 B1 C1 X11
  [2,] A1 B1 C1 X12
  [3,] A1 B1 C1 X13
  [4,] A2 B2 C2 X21
  [5,] A2 B2 C2 X22
  [6,] A2 B2 C2 X23
  [7,] A2 B2 C2 X24
  [8,] A2 B2 C2 X25
  [9,] A3 B3 C3 NA
[10,] A4 B4 C4 X41
[11,] A4 B4 C4 X42
[12,] A4 B4 C4 X43
[13,] A5 B5 C5 X51
 

This of course is a matrix; you can convert it back to a dataframe using 
as.data.frame() if you desire.  Use either NA (with quotes) or NA 
(without quotes) to control whether you get just the string NA or an 
actual character NA value in column 4.  If you're processing a huge 
amount of data, you can probably do better by rewriting the above code 
to avoid implicit coercions of data types.

hope this helps,

Tony Plate

S.O. Nyangoma wrote:
 I have a dataset that is basically structureless. Its dimension varies 
 from row to row and sep(s) are a mixture of tab and semi colon (;) and 
 example is
 
 HEADER1 HEADER2 HEADER3   HEADER3
 A1   B1  C1   X11;X12;X13
 A2   B2  C2   X21;X22;X23;X24;X25
 A3   B3  C3   
 A4   B4  C4   X41;X42;X43
 A5   B5  C5   X51
 
 etc., say. Note that a blank under HEADER3 corresponds to non 
 occurance and all semi colon (;) delimited variables are under 
 HEADER3. These values run into tens of thousands. I want to give some 
 order to this queer matrix to something like:
 
 HEADER1 HEADER2 HEADER3   HEADER3
 A1   B1  C1   X11
 A1   B1  C1   X12
 A1   B1  C1   X13
 A1   B1  C1   X14
 A2   B2  C2   X21
 A2   B2  C2   X22
 A2   B2  C2   X23
 A2   B2  C2   X24
 A2   B2  C2   X25
 A2   B2  C2   X26
 A3   B3  C3   NA
 A4   B4  C4   X41
 A4   B4  C4   X42
 A4   B4  C4   X43
 
 Is there a brilliant R-way of doing such task?
 
 Goodday. Stephen.
 
 
 
 
 
 
 
 
 - Original Message -
 From: Prof Brian Ripley [EMAIL PROTECTED]
 Date: Monday, August 15, 2005 11:13 pm
 Subject: Re: [R] How to get a list work in RData file
 
 
On Mon, 15 Aug 2005, Xiyan Lon wrote:


Dear R-Helper,

(There are quite a few of us.)


I want to know how I get a list  work which I saved in RData 

file. For

example,

I don't understand that at all, but it looks as if you want to 
save an 
unevaluated call, in which case see ?quote and use something like

xyadd - quote(test.xy(x=2, y=3))

load and saving has nothing to do with this: it doesn't change the 
meaning 
of objects in the workspace.


test.xy - function(x,y) {

+xy - x+y
+xy
+ }

xyadd - test.xy(x=2, y=3)
xyadd

[1] 5

x1 - c(2,43,60,8)
y1 - c(91,7,5,30)

xyadd1 - test.xy(x=x1, y=y1)
xyadd1

[1] 93 50 65 38

save(list = ls(all=TRUE), file = testxy.RData)
rm(list=ls(all=TRUE))
load(C:/R/useR/testxy.RData)
ls()

[1] test.xy x1  xyadd   xyadd1  y1

ls.str(pat=xyadd)

xyadd :  num 5
xyadd1 :  num [1:4] 93 50 65 38

When I run, I know the result like above

xyadd

[1] 5

xyadd1

[1] 93 50 65 38

what I want to know, is there any function to make the result like:


xyadd

test.xy(x=2, y=3)

and


xyadd1

   test.xy(x=x1, y=y1)

-- 
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] How to get a list work in RData file

2005-08-15 Thread Xiyan Lon
Dear Prof. Brian,
Why I need to know, because I lost my work and code which I used in my 
project. Lucky I always save my work which RData file. But I forgot 
which list, function, initial, etc I used.

Xiyan Lon

Prof Brian Ripley wrote:

 On Mon, 15 Aug 2005, Xiyan Lon wrote:

 Dear R-Helper,

 (There are quite a few of us.)

 I want to know how I get a list  work which I saved in RData file. For
 example,


 I don't understand that at all, but it looks as if you want to save an 
 unevaluated call, in which case see ?quote and use something like

 xyadd - quote(test.xy(x=2, y=3))

 load and saving has nothing to do with this: it doesn't change the 
 meaning of objects in the workspace.

  test.xy - function(x,y) {
 +xy - x+y
 +xy
 + }
 
  xyadd - test.xy(x=2, y=3)
  xyadd
 [1] 5
  x1 - c(2,43,60,8)
  y1 - c(91,7,5,30)
 
  xyadd1 - test.xy(x=x1, y=y1)
  xyadd1
 [1] 93 50 65 38
  save(list = ls(all=TRUE), file = testxy.RData)
  rm(list=ls(all=TRUE))
  load(C:/R/useR/testxy.RData)
  ls()
 [1] test.xy x1  xyadd   xyadd1  y1
 
  ls.str(pat=xyadd)
 xyadd :  num 5
 xyadd1 :  num [1:4] 93 50 65 38
 

 When I run, I know the result like above
  xyadd
 [1] 5
  xyadd1
 [1] 93 50 65 38
 
 what I want to know, is there any function to make the result like:

  xyadd

 test.xy(x=2, y=3)

 and

  xyadd1

test.xy(x=x1, y=y1)



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Re: [R] queer data set

2005-08-15 Thread Ted Harding
On 15-Aug-05 S.O. Nyangoma wrote:
 I have a dataset that is basically structureless. Its dimension
 varies from row to row and sep(s) are a mixture of tab and semi
 colon (;) an example is
 
HEADER1 HEADER2 HEADER3   HEADER3
A1   B1  C1   X11;X12;X13
A2   B2  C2   X21;X22;X23;X24;X25
A3   B3  C3   
A4   B4  C4   X41;X42;X43
A5   B5  C5   X51
 
 etc., say. Note that a blank under HEADER3 corresponds to non 
 occurance and all semi colon (;) delimited variables are under 
 HEADER3. These values run into tens of thousands. I want to give some 
 order to this queer matrix to something like:
 
 HEADER1 HEADER2 HEADER3   HEADER3
 A1   B1  C1   X11
 A1   B1  C1   X12
 A1   B1  C1   X13
 A1   B1  C1   X14
 A2   B2  C2   X21
 A2   B2  C2   X22
 A2   B2  C2   X23
 A2   B2  C2   X24
 A2   B2  C2   X25
 A2   B2  C2   X26
 A3   B3  C3   NA
 A4   B4  C4   X41
 A4   B4  C4   X42
 A4   B4  C4   X43
 
 Is there a brilliant R-way of doing such task?
 
 Goodday. Stephen.

I don't know about a brilliant R trick (though I'm sure others do).

But (on my usual hobby-horse) if you have 'awk' available (and
don't mind using it) then it will do the job:

First create an 'awk' program file as follows:

  {for(i in A) delete A[i]}
  {if($4==){A[1]=NA}
else {split($4,A,;)}}
  {B = $1 \t $2 \t $3}
  {for(i in A) print B \t A[i]}

and call this say split.awk

Then run

  awk -f split.awk

and feed it the lines of your primary dataset as above. Here's
a cutpaste from my Linux session, where the first block of
lines after awk -f split.awk are the lines being input to
the program, starting with the header, followed by the output
of the program starting with the header again:

awk -f split.awk
HEADER1 HEADER2 HEADER3   HEADER3
A1   B1  C1   X11;X12;X13
A2   B2  C2   X21;X22;X23;X24;X25
A3   B3  C3   
A4   B4  C4   X41;X42;X43
A5   B5  C5   X51
HEADER1 HEADER2 HEADER3 HEADER3
A1  B1  C1  X11
A1  B1  C1  X12
A1  B1  C1  X13
A2  B2  C2  X24
A2  B2  C2  X25
A2  B2  C2  X21
A2  B2  C2  X22
A2  B2  C2  X23
A3  B3  C3  NA
A4  B4  C4  X41
A4  B4  C4  X42
A4  B4  C4  X43
A5  B5  C5  X51

In unixoid systems, with a large file of such lines, the command
would be

  cat yourdatafile | awk -f split.awk

and then you would only see the output, not the input as shown
above, and you can of course redirect it into a new file with

  cat yourdatafile | awk -f split.awk  newdatafile

Note, however, that the order of the lines output for the third
line of input (the one with X21;X22;X23;X24;X25) is not the same
as the order of the X21;X22;X23;X24;X25 though they are all there.

This is a feature of the way 'awk' handles arrays (which are
associative arrays indexed by values, not by position).

This may not matter for your application; but if it does matter
then I'm not sure how to force the correct order.

Hoping this helps,
Ted.



E-Mail: (Ted Harding) [EMAIL PROTECTED]
Fax-to-email: +44 (0)870 094 0861
Date: 16-Aug-05   Time: 00:45:49
-- XFMail --

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Re: [R] Anything like dir.choose (similar to file.choose) in R?

2005-08-15 Thread Liaw, Andy
If you can use the `tcltk' package, Prof. John Fox had pointed this out to
me before:

dir - tclvalue(tkchooseDirectory())

Andy

 From: Earl F. Glynn
 
 Does R have a dir.choose function?
 
 I can use file.choose like this as a kludge to get something like a
 dir.choose, but a real dir.choose would be better:
 
   cat(Select one of files in directory to process:\n)
   filename - gsub(, /, file.choose())
   basepath - dirname(filename)
 
 Windows provides a lower-level SHBrowseForFolder function to 
 create such a
 dialog (see links below).  Do other platforms have similar 
 functionality at
 a lower level?  (Hoping this would be an easy addition to R.)
 
 SHBrowseForFolder Function
 http://msdn.microsoft.com/library/default.asp?url=/library/en-
 us/shellcc/platform/shell/reference/functions/shbrowseforfolder.asp
 
 Using the Shell API function SHBrowseForFolder()
 http://community.borland.com/article/0,1410,17008,00.html
 
 efg
 --
 Earl F. Glynn
 Bioinformatics
 Stowers Institute for Medical Research
 
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[R] Overall Legend

2005-08-15 Thread Juned Siddique
Hello. I am using R version 2.1.1 on Windows 2000.

I am using a par(mfrow=c(2,2)) statement to produce 4 plots on one screen. I 
want a single horizontal legend to appear at the top of the four plots. My code 
is something like this:

par(mfrow=c(2,2))

plot(x,y1)
lines(x,y2)
lines(x,y3)

plot(x,z1)
lines(x,z2)
lines(x,z3)

plot(x,t1)
lines(x,t2)
lines(x,t3)

plot(x,w1)
lines(x,w2)
lines(x,w3)

Instead of the statement:
legend(x=right, c(Bias Squared,Variance,Mean Squared Error), 
lty=c(2,1,3), col=c(green,blue,red), lwd=2,cex=0.5,inset = 0.05)

appearing within each plot, I would like it to appear at the top of the graph 
because it applies to all four plots. Any help would be appreciated. Thank you.

-Juned
[[alternative HTML version deleted]]

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Re: [R] How to get a list work in RData file

2005-08-15 Thread Liaw, Andy
If you want to keep track of the function call that produced an object,
usually you need to do that inside the function that's being called, e.g.,

 test.xy - function(x,y) {
+ xy - x+y
+ attr(xy, Call) - match.call()
+ xy
+ }
 xyadd - test.xy(x=2, y=3)
 xyadd
[1] 5
attr(,Call)
test.xy(x = 2, y = 3)
 str(xyadd)
 atomic [1:1] 5
 - attr(*, Call)= language test.xy(x = 2, y = 3)


Andy

 From: Xiyan Lon
 
 Dear R-Helper,
 I want to know how I get a list  work which I saved in RData 
 file. For 
 example,
 
   test.xy - function(x,y) {
 +xy - x+y
 +xy
 + }
  
   xyadd - test.xy(x=2, y=3)
   xyadd
 [1] 5
   x1 - c(2,43,60,8)
   y1 - c(91,7,5,30)
  
   xyadd1 - test.xy(x=x1, y=y1)
   xyadd1
 [1] 93 50 65 38
   save(list = ls(all=TRUE), file = testxy.RData)
   rm(list=ls(all=TRUE))
   load(C:/R/useR/testxy.RData)
   ls()
 [1] test.xy x1  xyadd   xyadd1  y1
  
   ls.str(pat=xyadd)
 xyadd :  num 5
 xyadd1 :  num [1:4] 93 50 65 38
  
 
 When I run, I know the result like above
   xyadd
 [1] 5
   xyadd1
 [1] 93 50 65 38
  
 what I want to know, is there any function to make the result like:
 
   xyadd
 
  test.xy(x=2, y=3)
 
 and
 
   xyadd1
 
 test.xy(x=x1, y=y1)
 
 Best,
 Xiyan Lon
 
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Re: [R] randomForest Error passing string argument

2005-08-15 Thread Liaw, Andy
If all you need the formula interface for is auto deletion of NAs, I'd
suggest doing something like:


varlist - c(fruit, apples, oranges, blueberries)
fruits.nona - na.omit(fruits.data[varlist])
model.rf - randomForest(fruits.data[-1], fruits.data[[1]], ...)

If you want to know the call that produced model.rf, you can look at
model.rf$Call.

I hope that sort of answers your question.

Andy

 From: mmv
 
 I'm attempting to pass a string argument into the function
 randomForest but I get an error:
 
 state - paste(list(fruit ~, apples+oranges+blueberries,
 data=fruits.data, mtry=2, do.trace=100, na.action=na.omit,
 keep.forest=TRUE), sep=  , collapse=)
 
 model.rf - randomForest(state)
 
 Error in if (n==0) stop (data(x) has 0 rows) argument is of 
 length zero.
 
 -Thanks in advance,
 
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[R] return unique values from date/time class object

2005-08-15 Thread McClatchie, Sam (PIRSA-SARDI)
Background:
OS: Linux Mandrake 10.1
release: R 2.1.1
editor: GNU Emacs 21.3.2
front-end: ESS 5.2.3
-

Thanks to Brian Ripley (I've upgraded from source, thanks for the reminder)
and Petr Pikal for their suggestions, but I have not made clear the form of
my data:

Browse[1] ceduna[1:10,]
  LSD AVIATION_ID WND_DIR WND_SPD_MPS
1  1/01/2001 10:30:00YCDU 230 4.6
2  1/01/2001 11:00:00YCDU 210 4.1
3  1/01/2001 11:30:00YCDU 230 6.7
4  1/01/2001 12:00:00YCDU 230 7.7
5  1/01/2001 12:30:00YCDU 220 8.2
6  1/01/2001 13:00:00YCDU 210 7.2
7  1/01/2001 13:30:00YCDU 210 7.2
8  1/01/2001 14:00:00YCDU 200 6.7
9  1/01/2001 14:30:00YCDU 190 7.7
10 1/01/2001 15:00:00YCDU 200 8.2
Browse[1] class(ceduna)
[1] data.frame
Browse[1]  x - as.character(ceduna$LSD)
Browse[1] new.time - strptime(x, %d/%m/%Y %H:%M:%S)
Browse[1] class(new.time)
[1] POSIXt  POSIXlt
Browse[1] unique(new.time)
Error in unique.default(new.time) : unique() applies only to vectors
Browse[1] tt - new.time[!duplicated(unclass(new.time))]
Error in duplicated.default(unclass(new.time)) : 
duplicated() applies only to vectors
Browse[1] 

I'm obviously doing something silly with the data classes, but what?

Best fishes

Sam

Sam McClatchie,
Biological oceanography 
South Australian Aquatic Sciences Centre
PO Box 120, Henley Beach 5022
Adelaide, South Australia
email [EMAIL PROTECTED]
Cellular: 0431 304 497 
Telephone: (61-8) 8207 5448
FAX: (61-8) 8207 5481
Research home page http://www.members.iinet.net.au/~s.mcclatchie/
  
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  ...xX(° 
 
   °)Xx
  /  \\
(((° 
  (((°   ...xX(°O°)Xx

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[R] Conditional Matrices

2005-08-15 Thread ISAIAH SHALWITZ
This seems like a simple problem but I can't figure it out:

I have two identical DIMENSION matrices.  Both contain only binary values NOT 
identical between matrices.  What I want to do: If in cell (1,1) the value in 
the first matrix (x) equals 1, then I keep the value in cell (1,1) in the 
second matrix (y).  If in cell (1,1) the value in the first matrix (x) equals 
0, then I change the value in cell (1,1) in the second matrix (y)to missing 
(NA).  Repeat for every pair of cells (coordinates of the paired cells always 
match).

Please help.

I

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[R] data manipulation help

2005-08-15 Thread roberto munguia
Hellow everybody,

 

I have a dataframe with 468 individuals (rows) that I captured at least once
during 28 visits (columns), it looks like:

 

mortality[1:10,]

 

   X18.10.2004 X20.10.2004 X22.10.2004 X24.10.2004 X26.10.2004 X28.10.2004
X30.10.2004 X01.11.2004 X03.11.2004 X07.11.2004

11   0   0   0   1   1
1   0   0   0

21   0   0   0   0   0
0   0   0   0

31   1   1   0   0   0
1   0   0   1

41   0   0   0   0   0
0   0   0   0

51   1   1   1   0   0
1   1   0   0

61   1   1   1   0   0
0   1   0   0

71   0   1   0   1   0
1   1   0   0

81   1   1   0   1   0
1   1   1   1

91   0   0   1   1   0
0   0   1   0

10   1   0   1   0   1   0
0   0   0   0

 

 

so I can know how many times every individual was captured, 0= not capture,
1=capture. 

 

persistence-apply(mortacap2,1,sum)

 

I also want to know when  was the first and the last capture for every
individual,

 

if I use:

 

which(mortacap2[1,]==1)

 

X18.10.2004 X26.10.2004 X28.10.2004 X30.10.2004 

  1   5   6   7 

 

I can estimate manually row by row, but I dont get how to estimate the first
and the last capture,

to all individuals in the database at the same time.

 

I tried 

 

d-numeric(368)

for (i in 1:368) {d[i]-which(mortacap2[1:368,]==1}

 

but it didnt work. Any help would be appreciated.

 

Thanks in advance!!

 

Roberto Munguia Steyer

Departamento Biologia Evolutiva

Instituto de Ecologia, A.C.

Xalapa, Veracruz.

MEXICO

 

Windows XP

R 2.10


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[R] Image from bytes streams

2005-08-15 Thread Márcio de Medeiros Ribeiro
Hello!

I'm trying to get an array of bytes from graphic images generated by
R. Here, you can see my Java code:

--
Process p = Runtime.getRuntime().exec(C:/Arquivos de
programas/R/rw1090/bin/Rterm.exe --no-save);

DataOutputStream output = new DataOutputStream(new
BufferedOutputStream(p.getOutputStream()));

DataInputStream input = new DataInputStream(new
BufferedInputStream(p.getInputStream()));

// output.writeBytes(pie(c(50,30,20))); //Pie graphic
output.writeBytes(plot(1,1)); // Plot graphic
output.flush();

input.readFully(new byte[200]); // Here I read the image bytes.
--

That's the problem: when I use Pie graphic, I got some bytes. However,
when I use the Plot graphic, I got the same bytes! So, I suppose that
my program does not read the bytes from the generated graphic from R.

Is it possible to get the bytes from the generated graphic? How can I
get these bytes?

Sorry about my english. I'm brazilian! :)
-- 
Márcio de Medeiros Ribeiro
Graduando em Ciência da Computação
Departamento de Tecnologia da Informação - TCI
Universidade Federal de Alagoas - UFAL
Maceió - Alagoas - Brasil
Projeto ArCo - Arcabouço de Comunidades
Contato: +55 82 354-3358/9997-6794

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[R] merge warning is.na(out$h)

2005-08-15 Thread Fulton, Brent
Hi, 

Does anyone know how to interpret this merge warning and whether it's critical 
to fix? The merge seemed to work fine, but I am concerned.

data3-merge(data1, data2, by=ID, all=TRUE)

Warning messages: 1: is.na() applied to non-(list or vector) in: is.na(out$h)  
Error in cat(list(...), file, sep, fill, labels, append) : argument 2 not yet 
handled by cat

When I remove all=TRUE or just include all.y=TRUE, I don't get the warning; 
however, I get the warning when I include all.x=TRUE.

Thanks,
Brent Fulton





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