Hi all,
I am wondering if anyone has problem installing 'knncat' package. I tried to
install using 'Rcmd INSTALL knncat_1.1.1.tar.gz', error message appeared. I
attached the message in the end. I allso tried to install from RGui, but it
was not listed.
Thanks in advance.
Regards, jenny
This is an error in the package. In file src/Makevars it has
LAPACK_LIBS=$(R_HOME)/src/modules/lapack/libRlapack.a
which is a reference to the R sources. That should not be there: please
remove it and this may well work.
However, your version of R is rather old, which is why you are not seeing
Hi
I am writing a bunch of functions that take two, three or four
arguments. These functions operate on vectors of the same length;
but I want the function
to behave sensibly if one or more arguments are scalars. + does
this for two arguments:
+(1:10,3)# interpreted as +(1:10,rep(3,10))
I think you should implement recycling, ideally at C level.
But you could have
f - function(x, y, z)
{
n - max(length(x), length(y), length(z))
.C(something, as.double(rep(x, len=n)), as.double(rep(y, len=n)),
as.double(rep(z, len=n)), as.integer(n), ans)$ans
}
On Mon, 15 Nov 2004,
Dear all,
I have a problem installing a package required by Hmisc on MacOS 10.3.5
with R 2.00.
g77 -fno-common -g -O2 -c avas.f -o avas.o
g77 -fno-common -g -O2 -c rlsmo.f -o rlsmo.o
gcc -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o
acepack.so ace.o avas.o rlsmo.o
I think you should implement recycling, ideally at C level.
But you could have
f - function(x, y, z)
{
n - max(length(x), length(y), length(z))
.C(something, as.double(rep(x, len=n)), as.double(rep(y, len=n)),
as.double(rep(z, len=n)), as.integer(n), ans)$ans
}
yes!
It is R 2.0.0! Your problem is that you do not have g77 installed, or at
least, not the same version as was used to compile your version of R.
(Please do read the posting guide and tell us where you got R from -- I
suspect you did not compile it yourself.)
I think this should be in the MacOS X
Dirk Eddelbuettel schrieb am 15.11.2004 02:35
[CRAN Debian respository]
It has been turned off by the CRAN masters as the content had slipped
further and further behind the Debian content.
Current R and CRAN packages are on the Debian archives; you can install
these on testing too. To
Dirk Eddelbuettel schrieb am 15.11.2004 04:12
On Sun, Nov 14, 2004 at 07:35:27PM -0600, Dirk Eddelbuettel wrote:
[...]
Current R and CRAN packages are on the Debian archives; you can install
these on testing too. To the best of my knowledge, there are no backports
of current R and Debian CRAN
Dear Prof. Ripley,
It is R 2.0.0! Your problem is that you do not have g77 installed, or at
least, not the same version as was used to compile your version of R.
(Please do read the posting guide and tell us where you got R from -- I
suspect you did not compile it yourself.)
I took R from
You have not called legend() in your codes below, so we do not know what
your problem is. See other comments below.
On Mon, 2004-11-15 at 01:08, Sean David Richards wrote:
R : Version 1.9.1
Hi,
Am having trouble adding a legend to scatterplot. R code is shown below.
I have tried various
On Mon, 15 Nov 2004, Marco Chiarandini wrote:
Dear Prof. Ripley,
It is R 2.0.0! Your problem is that you do not have g77 installed, or at
least, not the same version as was used to compile your version of R.
(Please do read the posting guide and tell us where you got R from -- I
suspect you did
What do you mean by power curves ? Is it the power of a study as the
effect size varies or power output of a machine with some other
parameter ?
I usually generate a sequence of numbers (for the x-axis) that spans the
range of interest and calculate its output.
# Example 1
f - function(x)
Sorry typo. The last line should read
legend(1500, 9000, legend=paste(Data from, sfiles), pch=1:n, col=1:n )
^^^
On Mon, 2004-11-15 at 11:39, Adaikalavan Ramasamy wrote:
You have not called legend() in your codes below, so we do
I am sorry to trouble the list with this, but I'm hoping that someone
will be able to help me track down this reference.
I am looking for a good reference on repeated measures, and many of the
relevant functions in R refer in their help to:
Hand, D. J. and Taylor, C. C. (1987)
Dear support,
I want to draw a probability density plot in R. For example, I provide the mean
and variance of a normal distribution, then R can provide me the probability
density plot. Now I always generate random numbers of normal distribution and
calculate their dnorm(mu, var), finally plot
I hope this example could help you
best
vito
x-seq(-3.5,3.5,0.1)
x
[1] -3.5 -3.4 -3.3 -3.2 -3.1 -3.0 -2.9 -2.8 -2.7 -2.6
-2.5 -2.4 -2.3 -2.2 -2.1
[16] -2.0 -1.9 -1.8 -1.7 -1.6 -1.5 -1.4 -1.3 -1.2 -1.1
-1.0 -0.9 -0.8 -0.7 -0.6
[31] -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4
0.5 0.6
Rachel Pearce [EMAIL PROTECTED] writes:
Hand, D. J. and Taylor, C. C. (1987) _Multivariate Analysis of
Variance and Repeated Measures._ Chapman and Hall.
This sounds like a useful text, but I can't find it on Amazon. I can
find:
Multivariate Analysis of Variance for
I believe this is better and that you want!
x-rnorm(1000,10,1)
plot( function(y) dnorm(y, mean(x), sd(x)),
from=min(x), to=max(x))
best
vito
You wrote:
Dear support,
I want to draw a probability density plot in R. For
example, I provide the mean and variance of a normal
distribution, then R
The full library info is
Multivariate analysis of variance and repeated measures : a practical
approach for behavioural scientists
Publisher London : Chapman and Hall, 1987.
Description xiii, 262 p. : ill. ; 24 cm.
Notes Bibliography: p. 208-209. - Includes index.
ISBN0412258005
Hi,
I often scan web pages directly into R using
scan('http://etc...','')
however this gives an error if the page/url doesn't exist, or the connection
to it is not available.
Is it possible to still use scan but have R return something other than an
error (which crashes code)
when the page or
Jonathan Croft [EMAIL PROTECTED] writes:
I often scan web pages directly into R using
scan('http://etc...','')
however this gives an error if the page/url doesn't exist, or the connection
to it is not available.
Is it possible to still use scan but have R return something other than an
Hello,
I am beginning with R and I would like to test a non linear model. But I do
not find exactly wath I am looking for in nls packages (or I do not know
where to search).
I would like to try a model like this : y=b * x exp(n)/(a exp(n) + x exp
(n))
Where
a = a0 + a1z
b= b0 + b1z
x and z are
Hi,
I have installed R (2.0.0) onto a two processor machine running Windows
XP (these two processors have been split into 4 logical processors),
with 4Gb of RAM. Rather than multi-threading, I wanted to run 2
instances of R on the machine in parallel, which uses two of the logical
processors.
How about installing an operating system that knows its way around that much
RAM?
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Graham Law
Sent: Monday, November 15, 2004 9:12 AM
To: [EMAIL PROTECTED]
Subject: [R] Using R in parallel on a 2 processor
Try reading the rw-FAQ!
There is no way user processes in Windows XP can access all 4Gb of the
address space, but if you tune both R and XP correctly you should be able
to get above 2Gb in total. See the rw-FAQ for how to tune R.
Nevertheless, as you have already been told, it is a lot easier
Dear Cyrille,
type ?nls in the R command line.
This will show you how to use the nls function.
And please read the posting guide (see bootom of each message).
This will help you to get more helpful answers.
Best wishes,
Arne
On Monday 15 November 2004 14:42, BARNERIAS Cyrille wrote:
Hello,
I've rolled up R-2.0.1.tgz a short while ago. This is a maintenance
version mainly to fix a number of minor bugs and issues. (Some rather
nasty ones were Windows-specific - please check the CHANGES file for
those.)
You can get it from
http://cran.r-project.org/src/base/R-2.0.1.tar.gz
or wait
Dear All,
I have been working on building a new version of the Wavethresh package for
some time now. Having build a working version on Linux, I am getting the
following error when checking on Windows:
C:\Rpackages\R\rw2000\binRcmd check wavethresh
* checking for working latex ... OK
* using log
Dear all,
I am looking for routines which allow multi-variate sampling from
non-normal distributions (loglogistic) given correlations among the
variables.
Unfortunately, I could not find a suitable package for R. Does
anybody know one?
Many thanks and best regards,
Stefan Albrecht
I am using the ts package to fit ARIMA models, and the tsdiag() function to
plot diagnostics. In doing so I'm generating an awful lot of diagnostic
plots of different models and different data sets all within the same R
session. So my question is, is there an option in tsdiag() similar to
Whoops!
You can get it from
http://cran.r-project.org/src/base/R-2/R-2.0.1.tar.gz
(Notice the R-2 subdir)
I also forgot to sign it on behalf of The R Core Team.
--
O__ Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) --
You can use title, but the result is unsatisfying:
fit - arima(lh, c(1,0,0))
tsdiag(fit)
title(junk)
Perhaps mtext with an appropriate par configuration?
HTH, Andy
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Andrew Kniss
Sent: Monday,
On Mon, 15 Nov 2004, Dan Bailey wrote:
Dear All,
I have been working on building a new version of the Wavethresh package for
some time now. Having build a working version on Linux, I am getting the
following error when checking on Windows:
C:\Rpackages\R\rw2000\binRcmd check wavethresh
*
Did you notice that tsdiag() plots about three plots and gives each a
title?
You can add a title to the array of plots using title(outer=TRUE),
surprisingly enough, but you will need to adjust the outer margins to make
room for it. Something like
par(oma=c(0,0,2,0))
fit - arima(lh, c(1,0,0))
Dear members,
My name is Seungho Huh. I am a statistician who tries to use the Kernel
PLS method in a classification problem. I am sending this email to ask
you something about the kernelpls function in R (pls.pcr package).
I would like to obtain the predicted Y values for test data, using
Hi,
In July I reported a problem I was having with R and the fluxbox
windows manager (with Linux). The interaction of R and fluxbox causes
CPU to go to 100% when trying to create even a simple plot. It is the
R process that is at 100%. R with any other window manager was fine,
and all other
After some futile searches, I decided to ask the list to see
if any of the sages out there would have an answer:
I have a function I wrote a few years ago in S, which calls
glim numerous times. I'd like to port it to R, but glm
works differently from glim, which takes as part of its
input an
On Mon, 2004-11-15 at 17:17 +, David Whiting wrote:
Hi,
In July I reported a problem I was having with R and the fluxbox
windows manager (with Linux). The interaction of R and fluxbox causes
CPU to go to 100% when trying to create even a simple plot. It is the
R process that is at
Tim F Liao wrote:
After some futile searches, I decided to ask the list to see
if any of the sages out there would have an answer:
I have a function I wrote a few years ago in S, which calls
glim numerous times. I'd like to port it to R, but glm
works differently from glim, which takes as
Tim Liao wrote:
After some futile searches, I decided to ask the list to see if any
of the sages out there would have an answer:
I have a function I wrote a few years ago in S, which calls glim
numerous times. I'd like to port it to R, but glm works differently
from glim, which takes as
Thanks to everyone for the info. It is very valuable. I am a little bit
uneasy about conflicting reports regarding RHEL 3, but I guess at this
point I just need to try and see. It's also very soothing to know that
there is an official 64-bit build on CRAN.
Thanks again for taking time to answer,
On 15 Nov 2004 at 12:11, Adaikalavan Ramasamy wrote:
Have you considered points() or lines() here ? You could simplify
to
plot(0,1000, type=n, xlim=c(0,1500), ylim=c(1000,9000),
xlab=Area above Notch (mm), main=Size Effect Speciments)
n - length(sfiles)
for (i in 1:n) {
Hi all,
I'm trying to learn R from an non-statistician's POV. I've got a
statistician who uses R, but I'm the schmuck who has to integrate his
R functions into an automated process.
One of the things I would really like is the ability to log messages
to file, specifically using syslog on a Linux
hi,
I try to used R to do one-way anova.
here is the simple code
f1- lm (y ~ block, data=yd)
there are 8 levels of factor block,
I also want produce multiple pairwise comparisons for the 8 levels of block,
inlcuding mean and std err for each of the 8 lelevls. It is tidious to do pair
Hello. I am an R newbie struggling to learn and use R . I have read many
portions of the R Reference Manual, as well as the FAQs. Given that I
learn something new each time, I know I might be missing something
obvious. But I appeal to your good nature to help me through this
initial problem.
Hello,
I have a dataset concerning slugs. For each slug, the number of
pumps per one time slot was counted. The number of pumps follows
Bi(30, p) where p is very small, thus could be approximated by
Poisson dist. (# of pumps is very often = 0)
The slugs were observed during 12 time slots which
Great suggestions, and it looks like either suggestion
should work, although the output from glm may not conform to
those from glim, thus some more code there perhaps.
Many thanks,
Tim
Original message
Date: Mon, 15 Nov 2004 14:28:50 -0400 (AST)
From: Rolf Turner [EMAIL PROTECTED]
On Mon, 2004-11-15 at 19:03 -0500, Heather J. Branton wrote:
Hello. I am an R newbie struggling to learn and use R . I have read many
portions of the R Reference Manual, as well as the FAQs. Given that I
learn something new each time, I know I might be missing something
obvious. But I
You need to do some extra work if you want to do classification with a
regression method. One simple way to do classification with PLS is to code
the classes as 0s and 1s (assuming there are only two classes) or -1s and
1s, fit the model, then threshold the prediction; e.g., those with predicted
Hello all,
I think that with the help of Mark Irwin, we solved the problem:
We fit the model using glmmPQL and instead of using variable,
'state', we model the independent fixed-effect 'state' as
I(x10); i.e. it's 0 for resting time slots and 1 for
excited times slots.
Here is the code:
On Tue, 16 Nov 2004, Yuandan Zhang wrote:
I try to used R to do one-way anova.
here is the simple code
f1- lm (y ~ block, data=yd)
there are 8 levels of factor block,
I also want produce multiple pairwise comparisons for the 8 levels of
block, inlcuding mean and std err for each of the 8 lelevls.
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