Well, as you mention at the end of the mail,
several people have given you suggestions about
how to solve the problem using different approaches.
You might search on the Web for how to install a 64 bit version of libxml2?
Using xmlTreeParse(, useInternalNodes = TRUE) is an approach
to reducing
The method can get one new data. But I think that it is not random. I used
the new random data to compute the index which I want to get. The
same value was achieved with the data sites.
I try it again and again. The result is the same.
So I think I need to find one new random sampling method.
Dear Prof. Ripley,
Prof Brian Ripley [EMAIL PROTECTED] schrieb am 05.07.2007 21:46:20:
Dear S-users.
This is the help forum for R users
Indeed. (How embarrasing not to be able to spell a one-letter word
correctly...)
How do I change pages on an X11 graphics
device under linux?
It is
Hi Deepayan,
Deepayan Sarkar [EMAIL PROTECTED] schrieb am 06.07.2007
02:05:02:
On 7/5/07, Paul Matthias Diderichsen
[EMAIL PROTECTED] wrote:
library(lattice)
xyplot(speed~dist|speed, data=cars, layout=c(3,3))
If this is your use case, you might be interested in
jim holtman [EMAIL PROTECTED] a écrit :
Is this what you want?
t(combn(5,2))
Well, it seems nice, but from which library does it come ?
I try help.search(combn), but that did not give me any valuable
information...
Christophe
Hello all,
I want to analyze data that looks like this:
Id var1 var2 var3..
1 0 1 0
1 0 1 1
2
2
2
2
Not all id's have the same no. of observations.
At the first stage I want to count how many people in the survey, how many
have 1 in var1, etc.
How
combinat
http://cran.r-project.org/src/contrib/Descriptions/combinat.html
[EMAIL PROTECTED] schreef:
jim holtman [EMAIL PROTECTED] a écrit :
Is this what you want?
t(combn(5,2))
Well, it seems nice, but from which library does it come ?
I try help.search(combn), but
Thomas Pujol wrote:
I have a dataframe (mydf) that contains differences of means.
I wish to test whether these differences are significantly different from
zero.
Below, I calculate the t-statistic for each column.
What is a good method to calculate/look-up the p-value for each column?
Hello all,
I am trying to use the svm method provided by e1071 (Version: 1.5-16)
together with a matrix provided by the SparseM package (Version: 0.73)
but it fails with this message:
model - svm(lm, lv, scale = TRUE, type = 'C-classification', kernel =
'linear')
Error in t.default(x) :
Dear Sirs,
How can I revert to an older limma version?
Typing install.packages(limma) in R gives a list of mirrors. How
can I install the version I want after I obtain and untar the file (e.g,
limma_2.9.1.tar.gz)?
I am running R 2.5.0 on a Linux machine (CentOS 5). When using limma it
will not
Maya Bercovich [EMAIL PROTECTED] writes:
Dear Sirs,
Please post to the Bioconductor list (see http://bioconductor.org for
instructions)
How can I revert to an older limma version?
Typing install.packages(limma) in R gives a list of mirrors. How
can I install the version I want after I
That sounds as if you are running in a UTF-8 locale and your colleague is
not. We do ask for the results of sessionInfo(), which would have helped.
I suggest you try an English 8-bit locale and see what happens.
On Sun, 8 Jul 2007, Maya Bercovich wrote:
Dear Sirs,
How can I revert to an
It is part of the standard 'util' library that comes with R
?combn
help.search('combination')
On 7/8/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
jim holtman [EMAIL PROTECTED] a Ã(c)crit :
Is this what you want?
t(combn(5,2))
Well, it seems nice, but from which library does it
The question is, how is the missing data accounted for? Is this a CSV
file where the missing data is left blank? If it is just separated by
white space, how do you know that var1 is missing is var2 is there?
If it is the case that just the initial values are there, then you can
use fill=TRUE on
Any methods or advices about the random sampling method?
I have no idea.
Thanks a lot.
On 7/8/07, Zhang Jian [EMAIL PROTECTED] wrote:
The method can get one new data. But I think that it is not random. I used
the new random data to compute the index which I want to get. The
same value was
Hi,
I am trying to use the XML package to write some data (pretty large
amounts of data) into XML files. I experimented with a few variations,
using xmlOutputBuffer and xmlOutputDOM.
xmlOutputDOM provides neat formatted, indented output, but takes very
long. xmlOutputBuffer is incompatible (in
There is a C program called GPS: 'gamma poisson shrinker' at
ftp://ftp.research.att.com/dist/gps/
The algorithms in GPS are based on S-Plus programs written by William
DuMouchel with support from Columbia University and ATT Labs.
My question is: is there a relatively easy way to extract some of
If I understand your problem, this might be a solution. Assign
independent random numbers for row and column and use the corresponding
ordering to assign the row and column indices. Thus row and column
assignments are independent and the row and column totals are fixed. If
cc and rr are
On 08/07/2007 12:07 PM, francogrex wrote:
There is a C program called GPS: 'gamma poisson shrinker' at
ftp://ftp.research.att.com/dist/gps/
The algorithms in GPS are based on S-Plus programs written by William
DuMouchel with support from Columbia University and ATT Labs.
My question is: is
R gurus,
I have a data set that looks something like this:
SiteSpecies DBH #Vines
G PLOC45.94
G ACNE23.31
G ACNE12.00
G FRAM35.95
G AEGL11.22
N PLOC77.312
N JUNI78.67
N ACNE18.9
It is not right. My data is the presence-absence data. And I want to get
thousands of presence-absence random data which length of rows and columns
is the same with the former data. Meantime, the new data needs to have the
fixed sums for each row and column with the former data.
For example:
The
Indexing matrices by subsets of rows and columns is quite convenient,
but it seems to take time linear in the size of the matrix (even for
a small slice of the matrix):
dim(y)
[1] 732 1332
length(which(a[1,]==1))
[1] 4
length(which(b[1,]==1))
[1] 12
All,
How does one specify a model in lmer such that say the random effect for
the intercept has a different variance per treatment group?
Thus, in the model equation, we'd have say b_ij represent the random
effect
for patient j in treatment group i, with variance depending on i, i.e,
?%in%
I think what you want is:
study.1-subset(study,study$Species %in% c(ACNE,PLOC,FRAM,ULAM,ACSA2))
On 7/8/07, James R. Milks [EMAIL PROTECTED] wrote:
R gurus,
I have a data set that looks something like this:
SiteSpecies DBH #Vines
G PLOC45.94
G ACNE
Dear Sir
There is no window binary version of package ncdf in the latest release of R
2.5.1. i dont have any information about the old versions.
Please guid in thie regard
Thank you
--
AMINA SHAHZADI
Department of Statistics
GC University Lahore, Pakistan.
Email:
[EMAIL PROTECTED]
[EMAIL
Hi Arjun
Have you tried using xmlTree() which uses an opaque
C representation of the document and I expect
will serialize the contents relatively rapidly.
The interface for creating the tree is intended to be
the same, and is at least similar to, as xmlOutputDOM.
The intent is that the
amna khan wrote:
Dear Sir
There is no window binary version of package ncdf in the latest release of R
2.5.1. i dont have any information about the old versions.
Please guid in thie regard
Thank you
See the ReadMe in the CRAN repository. It tells you that ncdf does not
build out of the
The scagnostics package implements the graph theoretic scagnostics
described by Leland Wilkinson, Anushka Anand and Robert Grossman
(http://www.ncdm.uic.edu/publications/files/proc-094.pdf), building on
an old idea of Tukey's to define indices of interestingness to help
guide the search for
Original Message
Subject: [R] Windows Binary for ncdf package
From: amna khan [EMAIL PROTECTED]
To: R-help@stat.math.ethz.ch, R-help@stat.math.ethz.ch
Date: 08.07.2007 19:52
Dear Sir
There is no window binary version of package ncdf in the latest release of R
2.5.1. i dont
Thanks, Dr. Lang,
I used xmlEventParse() + branches concept as you
suggested, it really works, and the memory issue is
gone. Now I can query large XML files from within R.
but here is another problem: it is too slows (a simple
query has not finished for 1.5h), even though the
number of relevant
Hi all,
There have been quite a few threads in the recent months pertaining to
the ability to directly write native Excel (.xls) files from R. For
example, exporting R matrices and/or data frames to an Excel file, with
perhaps the ability to create multiple tabs (worksheets) within a single
file,
Dear Sir
I am a lecture Department of Mathematics University of Dhaka,Bangladesh.
http://www.univdhaka.edu/department/facultyMembers.php?bodyid=MATst=25perPage=25.
I saw you are in the author of R-functions for inverse Gaussian
distributions.By tried them in my R ,but its not working.
I
At 8:45 AM -0400 7/7/07, Sébastien wrote:
Dear R users,
Here is a couple a quick questions, for which I was unable to not find
any answer in the list archives and in the help:
1- Is there any R equivalents of the VB functions Cint, CStr, etc...
(for non VB users, these functions transform the
Greetings Matthias,
Thanks again for your sound module. I did not ever manage to find the
time to play with phase equations, but I found I needed the module for a
new project involving bats. I needed to do some work @ 96 kHz/24 bit
sample size, and found the limitations of the sound package
Dear R users;
I'm using ca.jo for a VECM model. Is there a way that I can get sd/p-value
to see whether coefficients estimated are statistical significant? Thank
you
Yours,
Yihsu
[[alternative HTML version deleted]]
__
On 7/7/07, Sébastien [EMAIL PROTECTED] wrote:
Dear R users,
Here is a couple a quick questions, for which I was unable to not find
any answer in the list archives and in the help:
[...]
2- When a log scale is called in a graph, the label takes a format like
10^n.
That's true for lattice,
There are numerous ways of importing data from excel. One is to save as a
.csv and use the read.csv function. Or, you can copy to the clipboard and
use the read.delim(clipboard,header=T) function.
Are you looking at a bar graph where the lessons have the names nested below
them on the x axis,
Dear all,
I need to use the EM algorithm where data are missing.
Example:
x- c(60.87, NA, 61.53, 72.20, 68.96, NA, 68.35, 68.11, NA, 71.38)
May anyone help me?
Thanks.
Marcus Vinicius
[[alternative HTML version deleted]]
__
Sure! Read this:
MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM
Author(s): DEMPSTER AP, LAIRD NM, RUBIN DB
Source: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
39 (1): 1-38 1977
then read the posting guide.
Simon.
On Sun, 2007-07-08 at 23:20 -0300, Marcus
Hi R users.
I am experimenting with ubuntu 7.04 Feisty.
I install the ggobi package with apt-get.
I got almost all the packages, but
when I try to obtain rggobi, I got
this message:
-
Hi again!
How do I create the Latex and HTML files for documentation for a new
package, please?
Is there something in the R CMD stuff that would do it, or do I need
to produce by hand, pleaes?
thanks,
eb
__
R-help@stat.math.ethz.ch mailing list
41 matches
Mail list logo
