Message snippe for brevity
Hi,
|Requirements:
|- Mac OS X 10.4.4 or higher
This is ok.
|- R framework 2.3.x installed in its default location /Library/
|Frameworks
But is the above one installed in your system ?
HTH,
Senthil
__
When I try to install hte Econometrics view I get the following error:
CRAN task view Econometrics not available in: install.views(Econometrics)
I have already install the ctv package and loaded it before trying to
install the above...
Any ideas as to what's going on?
I have two data sets about lots of companies' stock
and fiscal data. One is monthly data with about
144,000 lines, and the other is quaterly with about
56,000. Each data set takes different company code.
I need to merge these two together. I read both ask
cvs. And the other file with
Hi,
I'm looking for help on how to use *R for making use of Genetic
Algorithm*to make optimal solution on the examination timetabling
dataset? another
point to analysis the dataset, in a manner similar to the method applied in
InfoViz. Say, what is the optimal step, if:
Step 1
- What is the
Have you looked at package gafit on CRAN?
Cheers
David
On 01/05/06, j.joshua thomas [EMAIL PROTECTED] wrote:
Hi,
I'm looking for help on how to use *R for making use of Genetic
Algorithm*to make optimal solution on the examination timetabling
dataset? another
point to analysis the dataset,
I want to write a function to standardize regression predictors, which
will require me to do some character-string manipulation to parse the
variables in a call to lm() or glm().
For example, consider the call
lm (y ~ female + I(age^2) + female:black + (age + education)*female).
I want to be
I need to run a regression with 14 normal variables
and 20 dummy variables. All the data is in a huge
data.frame df. But there is some extra intermediate
item in the same data.frame too. It will be nice I
can strip off those terms and run lm(). Also, is
there a simple way to write the
probably all.vars() could be useful in this case, e.g.,
m1 - lm(y ~ female + I(age^2) + female:black + (age +
education)*female)
all.vars(formula(m1))
Best,
Dimitris
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address:
Try this:
# test data
fo - y ~ female + I(age^2) + female:black + (age + education) * female
# create a list of form list(y = as.name(z.y), ...) for use with substitute
L - sapply(all.vars(fo), function(nm) as.name(paste(z, nm, sep = .)))
do.call(substitute, list(fo, L))
On 5/1/06, Andrew
Andrew Gelman [EMAIL PROTECTED] writes:
I want to write a function to standardize regression predictors, which
will require me to do some character-string manipulation to parse the
variables in a call to lm() or glm().
For example, consider the call
lm (y ~ female + I(age^2) +
Using the built in data frame iris, which has 5 columns, regress
Sepal.Length against all other variables except the last one:
lm(Sepal.Length ~., iris[1:4])
On 5/1/06, Guojun Zhu [EMAIL PROTECTED] wrote:
I need to run a regression with 14 normal variables
and 20 dummy variables. All the data
Dimitris Rizopoulos [EMAIL PROTECTED] writes:
probably all.vars() could be useful in this case, e.g.,
m1 - lm(y ~ female + I(age^2) + female:black + (age +
education)*female)
all.vars(formula(m1))
Drats. I forgot about that. Much better than my suggestion.
--
O__ Peter Dalgaard
Some functions that may be of help:
?aggregate.ts
?cbind
?merge
and in the zoo package
?as.yearmon
?as.yearqtr
?aggregate.zoo
?merge.zoo
On 5/1/06, Guojun Zhu [EMAIL PROTECTED] wrote:
I have two data sets about lots of companies' stock
and fiscal data. One is monthly data with about
FrPi == François Pinard [EMAIL PROTECTED]
on Thu, 27 Apr 2006 17:15:29 -0400 writes:
FrPi [Romain Francois]
[...] it would be useful to add an option 'ask' in
'example', maybe with a default to TRUE in interactive
mode
FrPi Seconded. `example(...)' would be more
JJ == j joshua thomas [EMAIL PROTECTED]
on Mon, 1 May 2006 16:28:26 +0800 writes:
JJ Step 2
JJ- For the second doubt, i used the multiv, mva (EDA-
JJ packages) - I use RGui 1.8.0 because i couldn't find
JJ multiv, mva Or i'm not sure of getting it
Hello!
There are about 5000 trees in 200m*200m plot. I want to choose some trees
randomly from 5000 trees. But I donot know how to choose it.
Please give me some advices.
Thanks!
[[alternative HTML version deleted]]
__
R-help@stat.math.ethz.ch
I'm sure you'll get ingenious responses to help you optimize your R code. I
deal with similar investment data in even larger numbers (e.g. 10 years of
daily return data for each stock in the Russell 3000), and prefer reading
and consolidating the data in Python using dictionaries and lists, then
Hello!
Subject is not very clear, but I hope my question will be;) I wrote a
function, which produces a plot and I have problems with arguments. For
the sake of example let us consider that my function looks like this
myfunc - function(x, points=FALSE, lines=FALSE, ...)
{
## x is an object
You could have a list of args for each one like this:
# test data
x - list(data = c(1,3,5), points = c(2,4))
myfunc - function(x, plot.args = NULL, points.args = NULL) {
do.call(plot, c(list(x$data), plot.args))
do.call(points, c(list(x$points), points.args))
}
myfunc(x,
I am having a problem with optim() using the L-BFGS-B method. When I
set the lower limit for the third parameter equal to zero I get an
error message:
low.lim.3 - 0
phi_opt - optim(phi_, model_lik, NULL, method = L-BFGS-B, lower=c(0.2,
-100, low.lim.3, 0), upper= c(10, 100, 10, 10), control =
Hello to everyone,
Where can I find a Version 1.0.7.1 of R for Suse Linux 10.0.
__
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
See
Function promptPackage() and
http://cran.r-project.org/doc/manuals/R-exts.html#Rd-format section
2.1.4 fpr writing Rd files for packages. I just did it first time for my
package caMassClass, so you can see the results in its pdf file.
Jarek Tuszynski
-Original Message-
From: [EMAIL
Hi Scott,
Can you explain a bit further what steps you took to get to where you
are?
There is a Mac specific mailing list R-SIG-Mac, which might be good
to ask
Mac specific questions.
Regards,
Rob
On Apr 30, 2006, at 6:09 PM, Scott Cunningham wrote:
I'm trying to install R-GUI on my Mac
Farrel Buchinsky fbuchins at wpahs.org writes:
So how do you reply to someone's posting such that the reply lands up in the
original thread. I subscribe to the list with a daily single e-mail. I guess
if I got every message in real-time it would be easier since then you simply
reply to the
Another good option is SQL, the fastest and most scalable solution. If
you decide to give it a try pay close attention to indexes.
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Steve Miller
Sent: Monday, May 01, 2006 8:55 AM
To: 'Guojun Zhu';
Dear list,
When compiling the R-2.3.0 on FC4 x86_64, I got the following errors:
make[3]: Entering directory
`/project/scratch3/ligroup/wuming/src/R-2.3.0/src/main'
gcc -Wl,--export-dynamic -L/usr/local/lib64 -o R.bin Rmain.o
CConverters.o CommandLineArgs.o Rdynload.o Renviron.o RNG.o apply.o
Hi
I think I seem to have phrased my doubt incorrectly.
I want a x-y plot of age v/s rate (the bin is
irrelevant for this plot); only that instead of a
simple x-y plot, i want a plot of average(rate) for
each age-intervals.
My ages vary from 0 to 0.7 and I want to divide them
in groups of 0.02.
optim does not call chol()!
Please use the debugging tools described in Writing R Extensions (R =
2.3.0) to find out what is actually happening. This looks like a bug in
your own code. (Remember that you have imposed the constraint z = 0 and
not z 0.)
On Mon, 1 May 2006, Fernando Saldanha
We would like to announce a 3-day R course in the UK. Full details
can be found at:
www.brodgar.com/statscourse.htm
Kind regards,
Alain Zuur
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the
Christian Hager wrote:
Hello to everyone,
Where can I find a Version 1.0.7.1 of R for Suse Linux 10.0.
Current R version is 2.3.0, version 1.0.7.1 never existed.
Uwe Ligges
__
R-help@stat.math.ethz.ch mailing list
Hi R list:
How can I repeat a data frame n times (with n1000),
and obtain a new data frame where all the n data frames
are binded by rows?
Thank you for your help
Kenneth
--
Using Opera's revolutionary e-mail client: http://www.opera.com/mail/
__
yeah, that is right. But I donot know how to choose some random points from
1-5000.
Thanks!
On 5/1/06, Xiaohua Dai [EMAIL PROTECTED] wrote:
If I donot misundertand your question, you can lable all your trees (e.g.
1-5000) and then randomly choose some numbers from 1-5000.
HTH
Xiaohua
Paul Johnson wrote:
Thank you very much. With the insertion of WINEPATH declaration, then
the following example program does run. And really fast, too!
library(R2WinBUGS)
WINEPATH - /usr/bin/winepath
Will be fixed in the package real soon now.
Gregor, many thanks for the
One simple solution is to use the layout function in place of par.
For example:
layout(rbind(c(0,1,1,0),c(0,2,2,0)))
hist(rnorm(100))
hist(rnorm(1))
Hope this helps,
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
[EMAIL PROTECTED]
(801) 408-8111
?sample
Please use RSiteSearch to look for functions and helps.
I think you also need R/Rpad Reference Card (www.rpad.org/Rpad/Rpad-ref*card
*.pdf http://www.rpad.org/Rpad/Rpad-refcard.pdf)
On 5/1/06, zhang jian [EMAIL PROTECTED] wrote:
yeah, that is right. But I donot know how to choose
Brian Quinif wrote:
When I try to install hte Econometrics view I get the following error:
CRAN task view Econometrics not available in: install.views(Econometrics)
Maybe you have not set a CRAN mirror that has the views mirrored?
What does
getOptions(repos)
tell you?
Uwe Ligges
I
Maybe the function merge is what you need. Xiaohua
On 5/1/06, Kenneth Cabrera [EMAIL PROTECTED] wrote:
Hi R list:
How can I repeat a data frame n times (with n1000),
and obtain a new data frame where all the n data frames
are binded by rows?
Thank you for your help
Kenneth
--
Using
Sorry, I give a wrong answer. X
On 5/1/06, Xiaohua Dai [EMAIL PROTECTED] wrote:
Maybe the function merge is what you need. Xiaohua
On 5/1/06, Kenneth Cabrera [EMAIL PROTECTED] wrote:
Hi R list:
How can I repeat a data frame n times (with n1000),
and obtain a new data frame where
When I named a specific mirror it worked. Thanks for the help.
2006/5/1, Brian Quinif [EMAIL PROTECTED]:
When I try to install hte Econometrics view I get the following error:
CRAN task view Econometrics not available in: install.views(Econometrics)
I have already install the ctv package and
On Mon, 1 May 2006, Kenneth Cabrera wrote:
Hi R list:
How can I repeat a data frame n times (with n1000),
and obtain a new data frame where all the n data frames
are binded by rows?
Perhaps
my_df[rep(1:nrow(my_df), times=n), ]
is what you want?
--
Brian D. Ripley,
Well, I find a solution!
If DFe is a data frame and n is an integer then
DFr-data.frame(t(matrix(rep(t(DFe),n),dim(DFe)[2],dim(DFe)[1]*n)))
names(DFr)-names(DFe)
Will work!!
Maybe somebody has a more elegant solution.
Again, thank you for your help.
On Mon, 01 May 2006 11:23:14 -0500,
I assume you want to discretize one column and then for
each level produced, calculate the mean of another column
and plot those means against the levels.
Using the builtin iris data frame discretize Sepal.Width producing the
SWfac factor and calculate, SLmean, the mean Sepal.Length for each
As I said, a very more elegant solution!
Thank you!
On Mon, 01 May 2006 11:52:44 -0500, Prof Brian Ripley
[EMAIL PROTECTED] wrote:
my_df[rep(1:nrow(my_df), times=n), ]
--
Using Opera's revolutionary e-mail client: http://www.opera.com/mail/
__
Dear R-Help,
I am using R2.3.0, nlme library on Windows XP.
I created a grouped data object with y, subject, group and time variables.
I can plot the data using
plot.nfnGroupedData(form=y~time|subject,outer=~group)
This gives me individual curves (connected points) for each subject in
This is a simple question but I cannot seem to find
the answer.
I have two vectors but with missing data and I want to
add them together with
the NA's being ignored.
Clearly I need to get the NA ignored. na.action?
I have done some searching and cannot get na.action to
help.
This must be a
Wuming Gong [EMAIL PROTECTED] writes:
Dear list,
When compiling the R-2.3.0 on FC4 x86_64, I got the following errors:
make[3]: Entering directory
`/project/scratch3/ligroup/wuming/src/R-2.3.0/src/main'
gcc -Wl,--export-dynamic -L/usr/local/lib64 -o R.bin Rmain.o
CConverters.o
I have used linbugs with the rbugs package for a recent work. It might be
worthwhile trying.
Jun
On 5/1/06, Uwe Ligges [EMAIL PROTECTED] wrote:
Paul Johnson wrote:
Thank you very much. With the insertion of WINEPATH declaration, then
the following example program does run. And really
On Mon, 2006-05-01 at 13:26 -0400, John Kane wrote:
This is a simple question but I cannot seem to find
the answer.
I have two vectors but with missing data and I want to
add them together with
the NA's being ignored.
Clearly I need to get the NA ignored. na.action?
I have done some
Hello Jun,
On 5/1/06, jun yan [EMAIL PROTECTED] wrote:
I have used linbugs with the rbugs package for a recent work. It might be
worthwhile trying.
It would be very nice, if you would consider to port new funcionality in
rbugs to R2WinBUGS. I thought that this was your intention, when
wine
Gregor GORJANC wrote:
Hello Jun,
On 5/1/06, jun yan [EMAIL PROTECTED] wrote:
I have used linbugs with the rbugs package for a recent work. It might be
worthwhile trying.
It would be very nice, if you would consider to port new funcionality in
rbugs to R2WinBUGS. I thought that this
Dear R-Help,
I am using R2.3.0, nlme library on Windows XP.
I created a grouped data object with y, subject, group and time variables.
I can plot the data using
plot.nfnGroupedData(form=y~time|subject,outer=~group)
This gives me individual curves (connected points) for each subject in
Hi,
I have a R program running very long and I run it in batch mode as below:
R CMD BATCH myRcode.R
In myRcode.R, I have four steps and I want to echo the entry when the
program reaches that point. However, using cat command only output echo
info into .R.Rout file. Is there a way to do like
Dear Jun:
How about telling us which version of Linux you use and how you make
linbugs run? As far as I can tell, the OpenBUGS people have
intentionally removed linbugs from their version 2.2. That leaves us
with various scripts that people have posted tried, none work for
me. Fedora Core 5,
On 5/1/06, Osman Al-Radi [EMAIL PROTECTED] wrote:
Dear R-Help,
I am using R2.3.0, nlme library on Windows XP.
I created a grouped data object with y, subject, group and time variables.
I can plot the data using
plot.nfnGroupedData(form=y~time|subject,outer=~group)
This gives me
Dear John,
The behaviour of R is reasonable, since, in your example, 4 + NA should in
general be NA (i.e., missing). You can do what you want by changing NAs to
0s:
a[is.na(a)] - 0
a + b
[1] 5 4 8
I hope this helps,
John
John Fox
Department of Sociology
Dear John,
You can also get this by doing the following:
apply(rbind(a,b), 2, sum, na.rm=T)
[1] 5 4 8
This way, you don't have to actually change the missing values to zero.
Best,
Dave.
--
Dave Armstrong
University of Maryland
Dept of Government and Politics
3140 Tydings Hall
College Park, MD
As far as I can figure out, the problem with running LinBUGS on FC5 is
that support for linuxthreads was removed after being deprecated in FC4.
http://fedora.redhat.com/docs/release-notes/fc5/#id2887615
As a result, the LD_ASSUME_KERNEL workaround, which presumably forced
the use of linuxthreads
--- Rick Bilonick [EMAIL PROTECTED] wrote:
On Mon, 2006-05-01 at 13:26 -0400, John Kane wrote:
This is a simple question but I cannot seem to
find
the answer.
I have two vectors but with missing data and I
want to
add them together with
the NA's being ignored.
Clearly I need to
--- John Fox [EMAIL PROTECTED] wrote:
Dear John,
The behaviour of R is reasonable, since, in your
example, 4 + NA should in
general be NA (i.e., missing). You can do what you
want by changing NAs to
0s:
a[is.na(a)] - 0
a + b
[1] 5 4 8
I hope this helps,
John
Thanks John.
--- Dave Armstrong [EMAIL PROTECTED] wrote:
Dear John,
You can also get this by doing the following:
apply(rbind(a,b), 2, sum, na.rm=T)
[1] 5 4 8
This way, you don't have to actually change the
missing values to zero.
Best,
Dave.
Hey, very nice indeed. Thanks.
I had not even
My apologies:
library(nlme)
gd-groupedData(y~time|subject,outer=~group)
plot(gd, outer=T)
this produces a pannel per group with a curve per subject
I need in addition to that the mean (or lowess) y in each panel.
thanks
osman
On 5/1/06, Deepayan Sarkar [EMAIL PROTECTED] wrote:
On 5/1/06,
Hi there,
I'm trying clustering methods on flow cytometry data. We want to
evaluate the clustering results and compare the validation methods. So
far the cluster validation functions I found in R are:
cluster.stats{fpc}
cl_agreement{clue}
Are there other validation functions in R?
Dear all:
My experience in using hosking.sim to generate random time series is
that it requires an n-length autocorrelation function (ACF; order 0 to
n-1) to generate n-length random vectors. I have attempted to utilize
shorter than n-length (i.e. truncated) ACF's with hosking.sim to
generate
Forgive my ignorance, but how I can take a look at the code for the
latex function in the Hmisc library?
I tried just typing latex but all I got was this:
latex
function (object, title = first.word(deparse(substitute(object))),
...)
{
if (!length(oldClass(object)))
I need to modify the function loess.smooth from package stats
to accept an additional weight parameter.
I found the places where I need to change things,
but there is a problem remaining (in R 2.2.1).
loess.smooth contains the call
fit - simpleLoess(y, x, w, span, degree, FALSE, FALSE,
On Mon, 2006-05-01 at 17:21 -0400, Brian Quinif wrote:
Forgive my ignorance, but how I can take a look at the code for the
latex function in the Hmisc library?
I tried just typing latex but all I got was this:
latex
function (object, title = first.word(deparse(substitute(object))),
Hi
I am struggling with the correct code syntax to generate xyplots that are
different from the default graphics option.
This is simplified version of my data:
sitesizednaconc prey
A 44 22.61
A 47 18.21
B 38 25.60
B
bug - read.table(tmp.dat, header=TRUE)
tpgs - trellis.par.get(superpose.symbol)
xyplot(dnaconc ~ size | site,
data=bug,
groups=prey,
pch=c(19,24),
between=list(x=1, y=1),
key=list(
text=list(c(0,1), col=tpgs$col[1:2]),
On 5/1/06, Osman Al-Radi [EMAIL PROTECTED] wrote:
My apologies:
library(nlme)
gd-groupedData(y~time|subject,outer=~group)
plot(gd, outer=T)
this produces a pannel per group with a curve per subject
For me, it produces the following:
library(nlme)
The file TENSILE.DAT from the Hand et al Handbook of Small Data Sets
looks like this:
0.023 0.032 0.054 0.069 0.081 0.094
0.105 0.127 0.148 0.169 0.188 0.216
0.255 0.277 0.311 0.361 0.376 0.395
0.432 0.463 0.481 0.519 0.529 0.567
0.642 0.674 0.752
thank your help, here is a simulated data set
time-c(rep(1:10,5))
y-time+rnorm(50,5,2)
subject-c(rep('a',10),rep('b',10),rep('c',10),rep('d',10),rep('e',10))
group-c(rep('A',30),rep('B',20))
df-data.frame(subject,group,time,y)
gd-groupedData(y~time|subject,outer=~group,data=df)
plot(gd,outer=T)
Here are a few alternatives:
replace(a, is.na(a), 0) + b
ifelse(is.na(a), 0, a) + b
mapply(sum, a, b, MoreArgs = list(na.rm = TRUE))
On 5/1/06, John Kane [EMAIL PROTECTED] wrote:
This is a simple question but I cannot seem to find
the answer.
I have two vectors but with missing data and I
As far as I know, the term deviance has no standard definition. A
good, fairly common definition (I think) is that the deviance is up to
[an additive] constant, minus twice the maximised log-likelihood. Where
sensible, the constant is chosen so that a saturated model has deviance
I forgot to mention that I am using Windows XP.
Original Message
Subject: Pasting data into scan()
Date: Tue, 02 May 2006 11:55:03 +1200
From: Murray Jorgensen [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
The file TENSILE.DAT from the Hand et al Handbook of Small Data Sets
On 5/1/06, Murray Jorgensen [EMAIL PROTECTED] wrote:
The file TENSILE.DAT from the Hand et al Handbook of Small Data Sets
looks like this:
0.023 0.032 0.054 0.069 0.081 0.094
0.105 0.127 0.148 0.169 0.188 0.216
0.255 0.277 0.311 0.361 0.376 0.395
0.432 0.463
I often want to know what proportion of the variation is being
contributed by different levels of random effects.
When the random effects are only intercepts, with no slopes, then you
can compute the intra-class correlation, which is the proportion of
the variation explained by the different
I generally prefer to start with the distributional characteristics
of the data, then consider fixed effets / explanatory variables, then
dependence structure in the deviations from the model.
1. What is (are) your response variable(s)? If the numbers are
financial
I basically has a long data.frame a. but I only need
three columns x,y. Let us say the index of row is t.
I need to produce new column s_t as the linear
regression coefficient of (x_(t-60),...x_(t-1)) on
(y_(t-60),...,y_(t-1)). The data is about 140,000
rows. I wrote a simple code on this which
Dear Peter,
$ uname -a
Linux bl3 2.6.15-1.1833_FC4smp #1 SMP Wed Mar 1 23:55:52 EST 2006
x86_64 x86_64 x86_64 GNU/Linux
When ./configure, I did not claim any options...
Wuming
On 01 May 2006 19:30:48 +0200, Peter Dalgaard [EMAIL PROTECTED] wrote:
Wuming Gong [EMAIL PROTECTED] writes:
Dear
Hi,
I know there must be a way to do this, but I went through a couple 'Intro
to R' books and didn't see how to do this.
How do I move/copy objects from one work space to another? I have been
saving the objects I want to move/copy separately then load them into
another work space. Is there a
Andrew and Spencer,
Thanks for your answers. I was feeling that moving from variance and
least-square estimates to deviance and MLE or REML was the reason why
I could not find easy equivalent estimates for the proportion of
variation of a given effect to the total. Thus this was not a trivial
On 5/1/06, Osman Al-Radi [EMAIL PROTECTED] wrote:
thank your help, here is a simulated data set
time-c(rep(1:10,5))
y-time+rnorm(50,5,2)
subject-c(rep('a',10),rep('b',10),rep('c',10),rep('d',10),rep('e',10))
group-c(rep('A',30),rep('B',20))
df-data.frame(subject,group,time,y)
82 matches
Mail list logo
