Enrico,
I've been using R for one year and I really appreciate it.
I would like to know if a version performing parallel computations on
multicore computers and computer clusters exists.
There is a high-performance computing SIG (special interests group) for R. See:
PJ,
Hi, I've been trying to prepare some crosstables for some survey questions
for a client. I have been using the CrossTable function in the gmodels
package. However, this command only seems to be able to create CrossTables
in text documents.
I've been trying to use odfTable in odfweave to
Do you know about any good reference that discusses kappa for classification
and maybe CI for kappa???
I don't, but googling on kappa and confusion matrix etc should get you
there. Kappa works very well when the true classes are skewed. For
example, if 10% of you samples are class A and 90%
Monica,
I have a few thoughts.
- (I believe) it is usually better to put confidence in these metrics
instead of relying on p-values. The intervals will allow you to make
inferential statements and give you a way of characterizing the
uncertainty in the estimates. You've seen how to do this with
We should make this an FAQ (or find someone who knows how to correct the bug
in
XML).
We've been working on that.
It's hard to say what the problem is without the output of
sessionInfo() and a reproducible example.
Fredrik - if you can send me this off-list, I'll take a look (but it
may
You can find the complete list at:
http://cran.r-project.org/web/views/MachineLearning.html
Max
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PLEASE do read the posting guide
The problem is that on the CRAN web site the XML package is not available for
windows...
I just checked, and it is available for Windows from my mirror (Austria)
and from ETH (assuming you are CH).
I would use XML ~ v1.90 for windows to use with odfWeave. You can get it at:
Version 4.06 of the caret package was sent to CRAN.
caret can be used to tune the parameters of predictive models using
resampling, estimate variable importance and visualize the results.
There are also various modeling and helper functions that can be
useful for training models. caret has
I have problems with the usage of cv.glm from the boot package. Here are some
parts of the script I wanted to use:
data - read.table(selected_2D.csv, header=TRUE, sep=,)
…
glm.fitted - glm(ydata$ y ~ 1 + density + vsurf_ID6 + vsurf_S , data=data)
error - cv.glm(data=data, glm.fitted, K=6)
The issue is the usage of extractPrediction.
expred - extractPrediction(rftrain)
should really be
expred - extractPrediction(list(rftrain))
Since this function is intended to get predictions across multiple
models, the man file has a description of the first argument to teh
funtion being
Hello all,
I try the follow test with an odf file.
*INPUT: teste.odt*
teste, results=xml=
x - matrix(rnorm(6), nc=2)
xst - tableStyles(x, useRowNames = TRUE, header = NULL)
odfTable(x, styles=xst, colnames = NULL, useRowNames = TRUE)
@
Here is one issue: you are asking for the row names
You need to cat the results using odfCAt, otherwise you are just
writing the output with no XML around it.
Max
On Jan 11, 2009, at 8:42 AM, Mark Heckmann mark.heckm...@gmx.de
wrote:
Hi everybody,
I don't get odfWeave to run properly. My odt file is as a simple as:
More commentary on Slashdot:
http://developers.slashdot.org/article.pl?sid=09/01/07/2316227
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
You can look on the SAS message boards and see there is a proportional
downturn in traffic.
I think that I actually made this statement about both the SAS and
Splus traffic...
I wasn't really trying to be critical of SAS. I was trying to get
across that SAS focused their resources on features
In general I try not to post questions to forums until I've tried my best to
read about them in the available documentation. I recently undertook a
project that used odfWeave and have been very pleased with the package.
But, the R help documentation suggests that there are more sophisticated
There are at least two options.
There is the sparseLDA package that was written by the author of
Sparse Discriminant Analysis. The paper can be found at
http://www-stat.stanford.edu/~hastie/Papers/sda_line.pdf
The initial version of the package is here:
In case anyone has a similar issue, this problem was related to how
the results were being sent to the file.
The offending code chunk used:
moretest, results=xml, echo=false=
x- 5
x
@
which writes out the text 5 without any XML around it. When OO opens
the document up, it ignores this text
* svg: R output devices still experimental
I've been using the svg device in the Cairo package for a while now.
I've never had any issues with it and wouldn't characterize it as
experimental (of course, others may have had issues).
I have had problems generating svg using some of the non-Cairo
Rob,
Post-processing the contents
Error in .Call(RS_XML_Parse, file, handlers, endElementHandlers,
as.logical(addContext), :
attempt to apply non-function
Can you do these three things?
1. Send the results of sessionInfo()?
2. Try to run the code in the code chunks outside of odfWeave and
But when I try to run this within a for-loop, the XML-output is suppressed
and only the table caption is written:
You'll need to wrap it in a print.
I'll make a note in the man file.
--
Max
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On Tue, Sep 30, 2008 at 8:06 PM, Mike Fugate [EMAIL PROTECTED] wrote:
Good Day,
I'm using the knn function in the package class. With k set to 3, the
function returns proportions of 1/3, 0.5, 0.6, 2/3, 3/4, and 1.0 for the
test cases. I don't understand how with k set to 3 the proportions
Forgot to cc...
On Fri, Sep 19, 2008 at 3:22 PM, Max Kuhn [EMAIL PROTECTED] wrote:
A new version 3.41 is on
https://r-forge.r-project.org/projects/caret/
Until later tonight, you will have to get it via
svn checkout svn://svn.r-forge.r-project.org/svnroot/caret
and build it yourself
On Fri, May 23, 2008 at 4:37 AM, baptiste Auguié [EMAIL PROTECTED] wrote:
(although the zero compilation time is a plus), while for the latter I do
not have a decent compatible editor (on a Mac, I tried Openoffice and
Abiword but the fonts look like my handwriting for some obscure reason).
Aleksey,
I am using the current version of odfWeave (0.7.5). The thing is, the file
processed just fine in a previous version (0.7.3). Does anyone have any
suggestion how to deal with this? I am now kind of locked since I cannot
reproduce a report I was working on...
What version of the
Have you used R2HTML lately? If so, please see the Sweave FAQ
http://www.ci.tuwien.ac.at/~leisch/Sweave/FAQ.html#x1-18000A.16
Max
On Wed, Mar 19, 2008 at 7:15 AM, Werner Wernersen
[EMAIL PROTECTED] wrote:
Sorry about the lack of detail.
Some facts:
- code chunks are processed fine
-
What version of caret and caretNWS are you using? Also, what version
of the nws server and twisted are you using? What kind of machine (#
processors, how much physical memory etc)?
I haven't seen any real limitations with one exception: if you are
running P jobs on the same machine, you are
really appreciate your help.
Cheers
Peter
-Original Message-
From: Max Kuhn [mailto:[EMAIL PROTECTED]
Sent: Monday, March 10, 2008 12:41 PM
To: Tait, Peter
Cc: r-help@R-project.org
Subject: Re: [R] caretNWS and training data set sizes
What version of caret and caretNWS
Also, see the nearZeroVar function in the caret package.
MAx
On Fri, Mar 7, 2008 at 7:41 AM, Charilaos Skiadas [EMAIL PROTECTED] wrote:
On Mar 7, 2008, at 2:17 AM, Oldrich Kruza wrote:
Hello Soumyadeep,
if you store the data in a tabular file, then I suggest using standard
Also, use the non-formula interface to the function:
# saves some space
randomForest(x, y)
the formula interface:
# avoid:
randomForest(y~., data = something)
This second method saves a terms object that is very sparse and takes
up a lot of space.
Max
On Wed, Feb 27, 2008 at 12:31
On Feb 3, 2008 2:16 PM, [EMAIL PROTECTED] wrote:
Hi there,
I am interested in using R for machine learning (supervised classification).
Currently, I have been investigating especially the rpart, tree, and
randomForest package, and have achieved first results.
are there any experiences, how
Factors have huge benefits over character data in SAS. For a series
regulatory filings, I had miles of SAS code to compute KxK tables
where all the cells must show up. For example, if one of the levels of
one of the variables was never observed, the corresponding row or
column would not show up in
One thing on my (neglected) to-do list for odfWeave is to create a
general class called odf that can be used to create output for common
models (lm, glm etc). The nice thing here is that the output from this
function could write mixed output. For example, a short paragraph
about the specified
On 04/01/2008 2:06 PM, sylvie ahoussou wrote:
I already downloaded Wiz from Info-zip in my Program Files directory. I've
also copied the directory in my Path in the Environment Variables as I
was suggested to do but I keep on getting the same message. I've seen a
message in this list
On Dec 14, 2007 10:52 AM, G Ilhamto [EMAIL PROTECTED] wrote:
Hi R-helpers,
Can some one tell me how to train 'mynn' of this type?:
mynn - nnet(y ~ x1 + ..+ x8, data = lgist, size = 2, rang = 0.1,
decay = 5e-4, maxit = 200)
nnet will estimate model parameters for the model that you have
On Dec 14, 2007 8:28 AM, Marc Schwartz [EMAIL PROTECTED] wrote:
Bearing in mind that OO.org's Write and Calc documents are just 'zipped'
XML files, it would be possible to parse the data stored within such
documents. I suspect Max Kuhn has spent much time on this for odfWeave.
I haven't
On Dec 11, 2007 3:35 PM, Giovane [EMAIL PROTECTED] wrote:
So here comes my doubt: why do I have an value of 67.52% for R² when
creating the model(that is , the model explains 67.52% of the data) and
when I use this same model on the same input data, why does postResample
return a very
I've been using ForgEdit. It is still in beta, but it works well. I
have a syntax highlighting file htat I can send you (and I need to
post on the gui/ide website).
--
Max
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R-help@r-project.org mailing list
1. can I measure de R-squared value between the predicted(by the model) and
real (observed) values.?
2. Measure the RMSE error .
There is a function in the caret package called postResample that will
do that (even if you aren't using resampling).
As has been previously noted on this list,
On Nov 24, 2007 7:14 PM, Gabor Grothendieck [EMAIL PROTECTED] wrote:
On Nov 24, 2007 7:01 PM, Duncan Murdoch [EMAIL PROTECTED] wrote:
On 24/11/2007 6:22 PM, Paul Smith wrote:
On Nov 24, 2007 11:14 PM, Duncan Murdoch [EMAIL PROTECTED] wrote:
With plot, one can use to the option 'axes=F' to
presumably my zip and unzip are not set up correctly but I dont know how to
do that. I
installed zip and unzip from info-zip.org as suggested in the help file, and
think I
managed set my Windows path to include the folders where they are installed,
but still
no luck. Any ideas?
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