If all you want R to do is the graphics, you might as well use gnuplot for
that, IMHO.
Andy
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Marko Krco
Sent: Saturday, February 07, 2004 11:45 AM
To: [EMAIL PROTECTED]
Subject: [R] Newbie help with
Marko -
Here's how I would do it. Your simulation code writes (or overwrites)
its summary to a named file. Then your simulation code does a system
call (somehow) that creates a subshell with a Bourne or csh command
line and sends the command R --vanilla script.file . (I'm not
quite sure at
Marko -
I can't resist.
The next more elegant solution would be to have a single R process
poll the directory entry for named.file periodically to see whether
the file date has changed since it was last read. See help(file.info)
for an R tool that will help do this. Use 'system(sleep 600,
Marko -
. . . and, using a single R process, rather than calling it
from inside the simulation code, means that the R process doesn't
need to be running on the same machine as the simulation code.
It only needs to run on a machine which has shared file access
with the simulation process.
And
Dear all,
I don't understand the following behaviour: Running compar.gee (in
library ape ) with and without the option 'data', it give me different
results
Example:
Start R
load(eiber.RData)
ls()
[1] gee.na mydata mytree
library(ape)
# runnig with the option data= mydata
Andy and Peter: Of yours, both of you are right.
Re h2g2 (Adams DN 1979):
[42] quite definitely is the answer. I think the problem, to be quite
honest with you, is that you've never actually known what the question is.
[...] So once you do know what the question actually is, you'll know what
Dear listers,
I would like to get the bootstrap estimates form my lme model.
I have an HLM (multillevel) 2-level model with the dichotomous outcome. I
used glmmPQL procedure. However I have a problem since I have a rather
unbalanced proportion (90-99% of events, i.e. ones and only 1-10% of
juli g. pausas wrote:
Dear all,
I don't understand the following behaviour: Running compar.gee (in
library ape ) with and without the option 'data', it give me different
results
Example:
Start R
load(eiber.RData)
ls()
[1] gee.na mydata mytree
library(ape) # runnig with the
Dear R-help members,
I have several large data sets from certain simulations I did and now I want to plot
the results nicely.
I don't know anything about the size of the x and y values in advance.
Plotting these values is not a problem.
However, I want to add errorbars (errbar in the Hmisc
Hello,
I'm an R newbie and was wondering whether there are R commands for iterating over
files in a directory. Basically what I want to do is to iterate over many files and
apply some R functions to each file seperately.
e.g. for (each file in a directory) do { some R calculation with the
Try help(list.files), help(file.info), help(file), and
look in the see also section in each of those help files for
other functions which you may find useful for doing this.
- tom blackwell - u michigan medical school - ann arbor -
On Sun, 8 Feb 2004, femke wrote:
Hello,
I'm an R
?list.files
?for
Hadley
femke wrote:
Hello,
I'm an R newbie and was wondering whether there are R commands for iterating over files in a directory. Basically what I want to do is to iterate over many files and apply some R functions to each file seperately.
e.g. for (each file in a
On Sun, 8 Feb 2004 16:07:44 -0500, you wrote:
Hello,
I'm an R newbie and was wondering whether there are R commands for iterating over
files in a directory. Basically what I want to do is to iterate over many files and
apply some R functions to each file seperately.
The apply() and
On Sun, 8 Feb 2004, femke wrote:
Hello,
I'm an R newbie and was wondering whether there are R commands for
iterating over files in a directory. Basically what I want to do is to
iterate over many files and apply some R functions to each file
seperately.
e.g. for (each file in a
I usually do something like this:
filelist - dir(path = .) ## files in current directory
for(filename in filelist) {
do.something(filename)
}
-roger
femke wrote:
Hello,
I'm an R newbie and was wondering whether there are R commands for iterating over files in a directory. Basically
Hi,
i am working with large data frames with many dependend variables. I
want to write some functions that will allow me to quickly select
variables from the frame and plot them in various colors depending on
factor columns, possibly selecting rows according to factor conditions.
In order
David A. van Leeuwen [EMAIL PROTECTED] writes:
Hi,
i am working with large data frames with many dependend variables. I
want to write some functions that will allow me to quickly select
variables from the frame and plot them in various colors depending on
factor columns, possibly
Douglas Bates [EMAIL PROTECTED] writes:
David A. van Leeuwen [EMAIL PROTECTED] writes:
Hi,
i am working with large data frames with many dependend variables. I
want to write some functions that will allow me to quickly select
variables from the frame and plot them in various colors
Here's one possible way:
xrange - scan(clipboard, what=)
Read 7 items
xrange
[1] (0,74.4] (74.4,149] (149,223] (223,298] (298,372]
(372,447]
[7] (670,744]
sapply(strsplit(substring(xrange, 2, nchar(xrange)-1), ,), as.numeric)
[,1] [,2] [,3] [,4] [,5] [,6] [,7]
[1,] 0.0 74.4 149
I've got a PhD student starting this year.
She'll be working on data mining.
She has asked for a reading list while she's still in her home
country, which is a really good sign.
Her cosupervisor and I don't (think we) have any problem with
choosing things that are specifically about data mining,
Hi,
I have had a quick search to see whether this question has been
asked/answered before but haven't found anything directly related to it.
Basically, I am wondering if I can run the packages, developed by Shafer
for S-Plus, that allow multiple imputation of missing data - NORM, CAT,
MIX, and
Dear Alistair,
All of Shafer's packages have been ported to R and are on CRAN. There are
also some facilities for multiple imputation in the Hmisc package, and in
the mice package -- not on CRAN, but available at
http://www.multiple-imputation.com/. There are probably other multiple
Hi,
-Original Message-
But above all, I would like her to use R whenever it's appropriate.
We have MASS and Dalgaard's introductory book in the library here, I'm
aware of S Poetry, but what do you think would be the best start for
someone learning R in order to use it for doing data
Try this:
sapply( parse( text = chartr( (],, +, z ) ), eval ) / 2
chartr translates ( to space, ] to space and comma to +. Then
the character strings are parsed and evaluated as R expressions.
Finally, we divide by 2.
---
Date: Sun, 8 Feb 2004 21:39:13 +0100
From: Jonne Zutt [EMAIL
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