Did you try to use help.search() on your topics?
Help files with alias or concept or title matching 'SOM' using
regular expression matching:
any(base) Are Some Values True?
SOM(class) Self-Organizing Maps: Online
Algorithm
On Mon, 27 Feb 2006 11:09:24 -0800,
Linda Lei (LL) wrote:
Hi there,
I'm doing some clustering analysis and try to find all the algorithms
related to clustering in R. Here is the list of the algorithms I found.
But I'm not sure if
It's the complete list. Could you please check
On Mon, 27 Feb 2006 11:34:00 -0800,
Elizabeth Purdom (EP) wrote:
Hi,
I'm not sure if Sweave questions should go to the general list, but it
seems to be part of the core R package without a separate maintainer.
I am writing a tutorial for R in a latex file. I'd like to use Sweave,
Michael wrote:
pca=prcomp(training_data, center=TRUE, scale=FALSE, retx=TRUE);
Then I want to rotate the test data set using the
d1=scale(test_data, center=TRUE, scale=FALSE) %*% pca$rotation;
d2=predict(pca, test_data, center=TRUE, scale=FALSE);
these two values are different
Hi all,
I am using the svm command in the e1071 package.
Does it have an automatic way of setting the cost parameter?
I changed a few values for the cost parameter but I hope there is a
systematic way of obtaining the best cost value.
I noticed that there is a cross (Cross validation)
Thanks a lot! I happened to have read Professor Harrell's book before I
post. It did not have any detailed examples/guides about using splines in R,
esp. multiple dimensions... I am in need of hands on examples of putting
theories into reality in R...
On 2/27/06, Liaw, Andy [EMAIL PROTECTED]
Hello,
I would like to know if it is possible to insert LaTeX typesetting in R output.
I want to obtain a graph with LaTeX label in order to incorporate it as
postscript or pdf,
x-seq(0,1,length=100)
y-x*x
plot(x,y,xlab=$X$,ylab=$X^2$)
__
Hi
?lines says
For 'type = h', 'col' can be a vector and will be recycled as
needed.
Why doesn't lines() recycle colours for other types?
If I type
plot(0:1,0:1,type=n)
lines(runif(11),runif(11),col=c(red,green))
then all ten lines are red, with no warning given. Is
Hi Patrick/Jeff,
Does
t(apply(z, 1, sort, na.last=TRUE))
do what you want?
Not quite.
t(apply(z, 1, sort, na.last=TRUE))
[,1] [,2] [,3]
[1,]11 NA
[2,]11 NA
[3,]11 NA
[4,]1 NA NA
[5,]1 NA NA
[6,] NA NA NA
Row 2 is the problem.
I
[EMAIL PROTECTED] schrieb:
Hello,
I would like to know if it is possible to insert LaTeX typesetting in R output.
I want to obtain a graph with LaTeX label in order to incorporate it as
postscript or pdf,
x-seq(0,1,length=100)
y-x*x
plot(x,y,xlab=$X$,ylab=$X^2$)
Hi
Lines behaves as the help() says it does:
plot(0:1,0:1,type=n)
lines(runif(11),runif(11),col=c(red,green), type=h)
Mick
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Robin Hankin
Sent: 28 February 2006 09:31
To: RHelp
Subject: [R] lines() and
Le 28.02.2006 10:27, [EMAIL PROTECTED] a écrit :
Hello,
I would like to know if it is possible to insert LaTeX typesetting in R
output.
I want to obtain a graph with LaTeX label in order to incorporate it as
postscript or pdf,
x-seq(0,1,length=100)
y-x*x
plot(x,y,xlab=$X$,ylab=$X^2$)
Hi
not sure as I do not know actual syntax, but seems to me that in
type=h there segments are drawn from x axis to x,y values, hence the
recycling behaviour has some sense.
In other types I wonder if it was really useful to have each segment
of a line painted by different colour. If this is a
Dear R users,
I have created data for hierarchical agglomerative cluster analysis
which consist of the merging pairs and the agglomeration heights, e.g.
something like
my.merge - matrix(c(-1,-2,-3,1), ncol=2, byrow=TRUE)
my.height - c(0.5, 1)
I'd like to plot a corresponding dendrogram but I
Hi,
thanks for your help.
that is the task though, I don't have the choice and
I think for our purpose it is very good.
I don't want to have a look at the exact numbers, I just want to find and see
bigger columns in higher km regions immediately.
Then the date of this cases is interesting.
Dear R-Helpers,
I am hoping to perform survival analyses using the ex-Gaussian
distribution.
I understand that the ex-Gaussian is a convolution of exponential and
Gaussian
distributions for survival data.
I checked the survreg.distributions help and saw that it is possible to
mix
pre-defined
Timo == Timo Becker [EMAIL PROTECTED]
on Tue, 28 Feb 2006 11:01:26 +0100 writes:
Timo Dear R users, I have created data for hierarchical
Timo agglomerative cluster analysis which consist of the
Timo merging pairs and the agglomeration heights, e.g.
Timo something like
Hi
not a complete solution but
z.f-matrix(z%in%1, ncol=3)
gives you a matrix of logicals
and
apply(apply(z.f*1, 1,cumsum),2,function(x) sum(x==0))
[1] 0 0 1 2 1 3
shall give you number of values to drop from each row.
Then you maybe could use it to manipulate your z matrix.
HTH
Petr
On
Okay, I think this does the requested operation:
single.shift
function (x)
{
r - rle(is.na(x))
if(!r$values[1]) return(x)
num - r$length[1]
c(x[-1:-num], rep(NA, num))
}
t(apply(z, 1, single.shift))
[EMAIL PROTECTED] wrote:
Hi Patrick/Jeff,
Does
I am running Debian Etch on a dual Xeon 64 bit Dell
Precision with the latest versions of R and
RandomFields.
I am unable to run the first example in ?GaussRF (in
RandomFields).
The bug occurs when GaussRF runs the line
error - InitSimulateRF(x = x, y = y, z = z, T = T,
grid = grid, model =
OK I found the problem.
locate libblas.so.3 showed there were two such files,
one in /usr/lib/, the other in /usr/lib/atlas/
removing the atlas installation cured the bug.
Not sure what I should do if I later find that I need
atlas for some reason.
cheers
David
Hello,
I am dealing (non-balanced) mixed models (using libraries lme4 and MASS)
such as :
model1-glmmPQL(Y~grouping variable+ covariate, random=~1|yr/month,
data=dat, family= gaussian or poisson)
Besides the usual output in terms of the statistical significance of the
fitted coefficients, I'd
Hi Patrick,
Yes, that works. Thanks for your time.
Regards,
John.
-Original Message-
From: Patrick Burns [mailto:[EMAIL PROTECTED]
Sent: 28 February 2006 10:28
To: Gavin, John
Cc: [EMAIL PROTECTED]; r-help@stat.math.ethz.ch
Subject: Re: [R] elements in each row of a matrix to the
From: Michael
Hi all,
I am using the svm command in the e1071 package.
Does it have an automatic way of setting the cost parameter?
See ?best.svm in that package.
I changed a few values for the cost parameter but I hope there is a
systematic way of obtaining the best cost value.
I
On Mon, 27 Feb 2006, Laurent Gautier wrote:
Dear List,
Would anyone know how to perform prepared queries with ROBC ?
I had a shot with some of the internal (non-exported) functions of the package
but ended up with a segfault, so I prefer asking around before
experimenting further...
On Mon, 27 Feb 2006, Greg Tarpinian wrote:
BACKGROUND:
I use SAS on a daily basis and one of its most powerful features in a
production environment is the use of LIBNAME and FILEREF statements, e.g.:
PROC PRINTTO LOG = LOGDIR.\data processing.log NEW;
RUN;
PROC IMPORT
This is the code:
x-matrix(rnorm(20),5)
y-list()
for (i in seq(nrow(x))) y[[i]]-t(x[i,,drop=F])%*%x[i,,drop=F]
y[[1]]+y[[2]]+y[[3]]+y[[4]]+y[[5]]
How can I do it without using for loops?
Thank you in advance!
--
ronggui
Deparment of Sociology
Fudan University
Martin Maechler schrieb:
Timo == Timo Becker [EMAIL PROTECTED]
on Tue, 28 Feb 2006 11:01:26 +0100 writes:
Timo Dear R users, I have created data for hierarchical
Timo agglomerative cluster analysis which consist of the
Timo merging pairs and the agglomeration
This is a Debian issue, not an R issue.
Almost certainly you are running an ATLAS tuned on a machine other than
your own.
ATLAS is designed to be tuned on the target machine, which is easy to do
if you install it from the sources. Debian provides pre-built versions,
but these need to be
On Tue, 28 Feb 2006, Uwe Ligges wrote:
On Mon, 27 Feb 2006, Greg Tarpinian wrote:
BACKGROUND:
I use SAS on a daily basis and one of its most powerful features in a
production environment is the use of LIBNAME and FILEREF statements, e.g.:
PROC PRINTTO LOG = LOGDIR.\data processing.log
Hello,
One solution is:
lapply(1:nrow(x), function(i){ t(x[i,,drop=FALSE]) %*% x[i,,drop=FALSE]
})
Best,
Matthias
This is the code:
x-matrix(rnorm(20),5)
y-list()
for (i in seq(nrow(x))) y[[i]]-t(x[i,,drop=F])%*%x[i,,drop=F]
y[[1]]+y[[2]]+y[[3]]+y[[4]]+y[[5]]
How can I do it
On Tue, 28 Feb 2006, ronggui wrote:
This is the code:
x-matrix(rnorm(20),5)
y-list()
for (i in seq(nrow(x))) y[[i]]-t(x[i,,drop=F])%*%x[i,,drop=F]
y[[1]]+y[[2]]+y[[3]]+y[[4]]+y[[5]]
How can I do it without using for loops?
crossprod(x)
Uwe Ligges
Thank you in advance!
--
This is a Poisson regression. You cannot just multiply counts by 10 and
have a valid sample from a Poisson distribution with 10x the mean. So the
example (and the calculations below) make zero statistical sense.
For a poisson() family,
$dev.resids
function (y, mu, wt)
2 * wt * (y *
Try:
crossprod(x)
or
t(x) %*% x
On 2/28/06, ronggui [EMAIL PROTECTED] wrote:
This is the code:
x-matrix(rnorm(20),5)
y-list()
for (i in seq(nrow(x))) y[[i]]-t(x[i,,drop=F])%*%x[i,,drop=F]
y[[1]]+y[[2]]+y[[3]]+y[[4]]+y[[5]]
How can I do it without using for loops?
Thank you in advance!
Is there a precompiled version of the package RMySQL for Windows
available anywhere ?
Best thanks for help !
Hansruedi
_
Hansruedi Baetschmann
dipl.math.ETH et lic.oec.HSG
Functional Genomics Center Zurich
Winterthurerstrasse 190 / Y32H06
CH-8057 Zürich
Tel :
Yes. See
http://cran.r-project.org/bin/windows/contrib/2.2/ReadMe
However, we have found that it is often necessary to have almost exactly
the same version of MySQL as used to build the binary, so you may e.g.
only be able to use the binary there with R 2.2.1 and MySQL 5.0.x and not
e.g.
R-help(ers),
Does anyone know of an R function available for calculating a confidence
interval for a Spearman correlation? If no such resource is available,
is using the confidence interval from a Pearson correlation a reasonable
proxy if the vectors come from normal distributions (i.e. likely
You could use a bootstrapped confidence interval. You can find
R code examples of using bootstrapped confidence intervals
for correlation coefficients (and also an example of the
alternative Fisher Transform) in the proto vignette:
library(proto)
vignette(proto) # see 3.2
On 2/28/06, McGehee,
Hi,
I would like to uses AIC.c criterion in stepwise selection. I found some
comments about this issue in R help archives, and it seems that no standard
scripts are available. Except from www.prodsyse.com (stepAIC.c), but,
unfortunately, demanding adaptations for R.
Suggestions on this will be
I have a dataframe of numeric values with 30 rows
and 7 columns.
For each column, beginning at row 12 and down to
row 30, I wish to calculate the rolling 12 row
product. I.e., within each column, I wish to
multiply all the values in row 1:12, 2:13,
19:30.
I wish to save the results as
How about applying cumprod to the columns and then subsetting the result?
apply(mydata, 2, cumprod)[12:30,]
?cumprod
r user wrote:
I have a dataframe of numeric values with 30 “rows”
and 7 “columns”.
For each column, beginning at “row” 12 and down to
“row” 30, I wish to calculate the
Use as.matrix to convert your data frame to a matrix
and suppose we have this test data as a matrix:
mat - matrix(seq(30*7), 30, 7)
Then try this:
library(zoo)
mat2 - coredata(rapply(zoo(mat), 12, prod))
See:
library(zoo)
vignette(zoo)
and the various zoo help files for more
Sorry, I don't think I gave what you asked for, but cumprod() may still
help.
Chuck Cleland wrote:
How about applying cumprod to the columns and then subsetting the result?
apply(mydata, 2, cumprod)[12:30,]
?cumprod
r user wrote:
I have a dataframe of numeric values with 30 “rows”
stepAIC uses extractAIC to calculate AIC. So all that is in principle
necessary is to modify extractAIC to return AICc.
On Tue, 28 Feb 2006, [EMAIL PROTECTED] wrote:
Hi,
I would like to uses AIC.c criterion in stepwise selection. I found some
comments about this issue in R help archives,
Timo Becker schrieb:
Martin Maechler schrieb:
Timo == Timo Becker [EMAIL PROTECTED]
on Tue, 28 Feb 2006 11:01:26 +0100 writes:
Timo Dear R users, I have created data for hierarchical
Timo agglomerative cluster analysis which consist of the
Timo merging pairs and
Is there any way that I can assure that kmeans always returns the same
result for the same data by locking down the random number generator
or anything else?
David
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
David Bitner wrote:
Is there any way that I can assure that kmeans always returns the same
result for the same data by locking down the random number generator
or anything else?
David
Try ?set.seed before your call to kmeans:
# from ?kmeans
# a 2-dimensional example
x -
Hello list,
I am dealing with a noisy function (gradient,hessian not available) with
simple boundary constraints (x_i0). I've tried constrOptim() using nelder
mead to minimize it but it is way too slow and the returned results are not
satisfying. simulated annealing is so hard to tune and it
If you have only boundary constraints on parameters you can use method
L-BFGS in optim.
Hth, ingmar
From: Weijie Cai [EMAIL PROTECTED]
Date: Tue, 28 Feb 2006 11:48:32 -0500
To: r-help@stat.math.ethz.ch
Subject: [R] any more direct-search optimization method in R
Hello list,
I am
On Tue, 28 Feb 2006, David Bitner wrote:
Is there any way that I can assure that kmeans always returns the same
result for the same data by locking down the random number generator
or anything else?
?set.seed
David
__
Christian,
You need, first to factor() your factors in the data frame P.PA,
and then denote the error-terms in aov correctly, as follows:
group - rep(rep(1:2, c(5,5)), 3)
time - rep(1:3, rep(10,3))
subject - rep(1:10, 3)
p.pa - c(92, 44, 49, 52, 41, 34, 32, 65, 47, 58, 94, 82, 48,
Hi All,
I have a list of matrices:
x
[,1] [,2]
[1,]14
[2,]25
[3,]36
y
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 18 21 24 27 30 33
[2,] 19 22 25 28 31 34
[3,] 20 23 26 29 32 35
z =list(x,y)
I want to create a second list that is
I may be misunderstanding you, but why can't you execute a prepared
query the same in RODBC as you would directly on your SQL server? In
Microsoft SQL server, for instance, I would just set up an ADO
application and set the Prepared and CommandText properties before
running the query.
Here is an
Ingmar Visser I.Visser at uva.nl writes:
If you have only boundary constraints on parameters you can use method
L-BFGS in optim.
Hth, ingmar
From: Weijie Cai wcai11 at hotmail.com
I am dealing with a noisy function (gradient,hessian not available) with
simple boundary constraints
Hello, R-listers
I am relatively new to R and looking for some help on the rlm command.
Instead of using provided weight functions such as huber or hampel, I
want to specify weights to be applied to each data point. After reading
rlm help files, I found a weight option. According to the help
Try this:
lapply(z, [, 2:3, TRUE)
On 2/28/06, Federico Calboli [EMAIL PROTECTED] wrote:
Hi All,
I have a list of matrices:
x
[,1] [,2]
[1,]14
[2,]25
[3,]36
y
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 18 21 24 27 30 33
[2,] 19 22 25 28
Federico Calboli wrote:
Hi All,
I have a list of matrices:
x
[,1] [,2]
[1,]14
[2,]25
[3,]36
y
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 18 21 24 27 30 33
[2,] 19 22 25 28 31 34
[3,] 20 23 26 29 32 35
z
WC:
What do you mean by noisy in this context?
1. You say, gradient, hessian not available. Is it continuous
with perhaps discontinuities in the first derivative?
2. Or is it something you can compute only to, say, 5 significant
digits, and some numerical
On Tue, 2006-02-28 at 17:14 +, Federico Calboli wrote:
Hi All,
I have a list of matrices:
x
[,1] [,2]
[1,]14
[2,]25
[3,]36
y
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 18 21 24 27 30 33
[2,] 19 22 25 28 31 34
[3,] 20 23
Thank you both for your helpful suggestions. My ignorance of R prevents me
from understanding exactly how to
...run from a shortcut, appending DATADIR=J:/foo/bar to the
command line
but I assume that Appendix C of S Programming will help me there -- I was
unaware of this material when I
On Tue, 28 Feb 2006, Greg Tarpinian wrote:
Thank you both for your helpful suggestions. My ignorance of R prevents me
from understanding exactly how to
...run from a shortcut, appending DATADIR=J:/foo/bar to the
command line
See the rw-FAQ for more details.
but I assume that
On Tue, 28 Feb 2006, Young-Jin Lee wrote:
Hello, R-listers
I am relatively new to R and looking for some help on the rlm command.
Instead of using provided weight functions such as huber or hampel, I
want to specify weights to be applied to each data point. After reading
rlm help files, I
Mathematica may well have good optimization routines; I know MATLAB
does (e.g. the optimization toolbox,
http://www.mathworks.com/products/optimization/?BB=1 , has a
general-constraints nonlinear optimizer) -- I also think
more people develop optimization code in MATLAB because of its use
I think the idea of the prior respondents was that R_DATADIR
would be set outside R and the application and just fetched from
an environment variable inside the application so that the application
is independent of it.
If, in fact, your R code knows the data directory anyways, you could
just do
Hi. Have you tried 'help.search('list')' ?
See ?lapply
lapply(z, function(s) s[2:3,,drop=F])
[[1]]
[,1] [,2]
[1,]25
[2,]36
[[2]]
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 19 22 25 28 31 34
[2,] 20 23 26 29 32 35
Marco Geraci
--- Federico Calboli
Hey, all, I'm trying to construct a centroid plot using canonical
values from a MANOVA. I know that from the summary.manova object you
can get Eigenvalues, and the H and E matrices (from SS$Treatment and
SS$Residuals), but I am at a loss to get the loadings for the canonical
values, nor
Hi. I am running the as.ltraj () function in adehabitat (v 1.4 under R 2.2.1)
but can't seem to correctly specify the burst argument. i.e., the ltraj
object returned consists of only one component, when in fact my data consist
of more than one burst of reloctions per animal. i've set up the data
Or use gl which directly forms a factor:
group - gl(2, 5, 30)
time - gl(3, 10)
subject - gl(10, 1, 30)
On 2/28/06, John Vokey [EMAIL PROTECTED] wrote:
Christian,
You need, first to factor() your factors in the data frame P.PA,
and then denote the error-terms in aov correctly, as follows:
Hi Andy,
Thanks a lot for your answer! So what do I do if the model overfits?
Thanks a lot!
On 2/28/06, Liaw, Andy [EMAIL PROTECTED] wrote:
From: Michael
Hi all,
I am using the svm command in the e1071 package.
Does it have an automatic way of setting the cost parameter?
See
Hi All,
Thanks for all your replies especially for Graves suggestions. You are right
I should give more information about my function. So my responds to your
questions are:
1. 2. the function itself is not continuous/smooth. The evaluation at each
point is a random number with a non-constant
Given that information, I think a genetic algorithm
should probably do well with your problem. Standard
derivative-based optimizers are going to get frustrated
and give up. I can believe that Nelder-Mead could
get confused as well, though I'm not sure that it will.
'genopt' from S Poetry does
On Tue, 28 Feb 2006, Dietrich Trenkler wrote:
[EMAIL PROTECTED] schrieb:
Hello,
I would like to know if it is possible to insert LaTeX typesetting in R
output.
I want to obtain a graph with LaTeX label in order to incorporate it as
postscript or pdf,
x-seq(0,1,length=100)
y-x*x
You might find http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf
http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf helpful.
Parameter tuning is essential for avoiding overfitting.
Andy
-Original Message-
From: Michael [mailto:[EMAIL PROTECTED]
Sent: Tuesday, February
Dear R People:
When using the jpeg function for plotting,
is there a way to set the size in inches, please?
There is an option for width and height in pixels, but
not inches.
Any suggestions would be welcome!
R Version 2.2.1 Windows
Thanks in advance!
Sincerely,
Erin Hodgess
Associate
On Tue, 2006-02-28 at 16:10 -0600, Erin Hodgess wrote:
Dear R People:
When using the jpeg function for plotting,
is there a way to set the size in inches, please?
There is an option for width and height in pixels, but
not inches.
Any suggestions would be welcome!
The problem is
Prof Brian Ripley wrote:
On Tue, 28 Feb 2006, Tiong Lim wrote:
I am trying to compile R 2.2.1 on aix 5.3 with xlc/xlC 7.0 , but i am
getting the error below. I did a search on the archive and someone had a
similar error as me but I can't seem to find a fix for the error below.
Are you
Newbies (and others!) may find useful the R Reference Card made available by
Tom Short and Rpad at http://www.rpad.org/Rpad/Rpad-refcard.pdf or through
the Contributed link on CRAN (where some other reference cards are also
linked). It categorizes and organizes a bunch of R's basic, most used
Hello,
I 'm sure there must a be a simple explanation for what I'm doing wrong but I
am stumped. I am a novice R user and this has shaken my confidence in what I'm
doing! I am trying to run a simple ANCOVA using the model y~A*x, where y and x
are continuous and A has two levels. Everything
1. You have levels(A) as 2 and 4, yet you showed equations for A=0 and
A=1?
2. y = A + X + A*X means you're allowing the different groups of A to have
different slopes. Probably not what you intended.
3. It's probably best to provide a small sample of the data (and R code) so
we know how you
I have been reviewing GLM and LMER to sharpen up some course notes and
would like to ask for your advice.
1. Is there a test that would be used to check whether a particular
functional form--say Gaussian, Gamma, or Inverse Gaussian, is more
appropriate in a Generalized Linear Model? A
Hello folks,
I am a relatively new user of R and created multiply imputed data sets
with the 'mice' library. This library provides two functions for
complete-data analysis on multiply imputed data set objects (lm.mids and
glm.mids). I am trying to estimate a series of Cox PH regression
As I read the model you described, it is NOT a multivariate
autoregression but a univariate autoregression with explanatory
variables and some parameters fixed. The arima command should be able
to fit this. Try the following:
set.seed(1)
X - rnorm(99)
X2 - cbind(x=X[-1], x1=X[-99])
There seem to several issues here:
1) In the analysis that has a (1|Subject) error term, there is a large
negative correlation between the parameter estimates for time and
time:group. Overall, the effect of time is significant, as can be seen
from
time.lme - lme ( p.pa ~ time * group, random = ~
Are there any R packages that relate to the
following data reduction problem fo finding
maximally independent variables?
Currently what I am doing is solving the following
minimax problem: Suppose we want to find the
three maximally independent variables. From the
full n by n correlation
There was a mistake in my earlier note, that I should correct:
(Or you can estimate the interaction, and no degrees of freedom are
left for either the time or time:group random effect). All you
can talk
^^^
about is the average and the difference of the
library(gtools)
z - combinations(ncol(DF), 3)
maxcor - function(x) max(as.vector(as.dist(cor(DF[,x]
names(DF)[z[which.min(apply(z, 1, maxcor)),]]
Gabor Grothendieck a écrit :
Are there any R packages that relate to the
following data reduction problem fo finding
maximally independent
That's basically what I already do but what I was wondering
was if there were any other approaches such as connections
with clustering, PCA, that have already been developed in
R that might be applicable.
On 3/1/06, Jacques VESLOT [EMAIL PROTECTED] wrote:
library(gtools)
z -
Alright, I'll try to give some sample code.
# create A with 2 levels - 2 and 4
A-c(rep(2,times=30),rep(4,times=42))
# make A a factor
A-as.factor(A)
#generate 72 random x points
x-rnorm(72)
You have not apparently followed the advice in the R-admin manual:
On AIX 4.3.3 and AIX 5.1/2, it was found that the use of ``run time
linking'' (as opposed to normal AIX style linking) was required. For
this, the @R{} main program must be linked to the runtime linker with
the
I've installed Ubuntu 5.10 Breezy on my Mac. When using MacOSX, I used to
work with R 2.2.1, but now, with Ubuntu, I can't download it with
synaptic. I can only download R 2.1.1-1, and I really need 2.2.1.
I've tried to edit the sources.list file, typing
deb
Okay, I took the data to SAS and it gives me the same answer that R does. I
don't why JMP is giving me an incorrect answer, but it seems to be. (Either
that or I have made the same mistake in SAS and R.) Any ideas what JMP might be
doing?
Ben
---
Benjamin
I think we should clarify your subject line. One other statistical
package (JMP) is giving in your hands results inconsistent with R.
I have to say I am puzzled by this. Why ask the volunteers here why you
get a different result in JMP from the answer given by R? You could ask
your support
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