I think you can do it like this
lm(y~., data=data.frame) # note the dot to the right of ~
> -Original Message-
> From: Richard Nixon [mailto:[EMAIL PROTECTED]
> Sent: Wednesday, April 02, 2003 8:50 AM
> To: [EMAIL PROTECTED]
> Subject: [R] lm with an arbitrary number of terms
>
>
> Hel
The following might work:
mdl <- paste("y~", paste(names(data.frame), collapse="+"))
lm(mdl, ...)
If y = "y" is a column of your data.frame, you can delete it be
selecting "names(data.frame)[!is.element(y, names(data.frame)]"
Can you solve the problem from here?
Best Wishes,
Spen
Dear R People:
Is there a library for Multivariate time series, please?
For some reason, I'm thinking that Dr. Paul Gilbert may have one?
R Version 1.6.2 (i've updated!) for Windows
Thanks so much!
Sincerely,
Erin Hodgess
University of Houston - Downtown
mailto: [EMAIL PROTECTED]
Hi,
I am trying to parameterize the following mixed model (following Piepho
and Ogutu 2002), to test for a trend over time, using multiple sites:
y[ij]=mu+b[j]+a[i]+w[j]*(beta +t[i])+c[ij]
where:
y[ij]= a response variable at site i and year j
mu = fixed intercept
Beta=fixed slope
w[j]=constant
A.J. Rossini writes:
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> Sent: Tuesday, April 01, 2003 1:28 PM
> To: [EMAIL PROTECTED]
>
> "Prof. Brian Ripley" <[EMAIL PROTECTED]> writes:
>
> > I think the `trick' is how text for parsing is sent to R,
> and the answer
> > is via the command
Hi,
I'm trying to understand the lme output and procedure.
I'm using the Crawley's book.
I'm try to analyse the rats example take from Sokal and Rohlf (1995).
I make a nested analysis using aov following the book.
> summary(rats)
Glycogen Treatment Rat Liver
Min. :12
Dear All,
I have a function which takes a n x m matrix as an argument and returns
an n x n matrix. I want to take bootstrap samples form the input matrix in
the way as each row represent a multivariate observation, so each
bootstrap sample would be an n x m matrix, and on each sample I want to
ca
You could calculate the index vector like
ind <- n * (cc - 1) + (1:n)
and then use it to index bb as a vector
aa <- bb[ind]
Reid Huntsinger
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: Wednesday, April 02, 2003 2:15 AM
To: [EMAIL PROTECTED]
Subject: [R] v
First, let me thank all the folks who replied, many of which didn't make it
into the digest.
The following summarizes their experiences w/ lm on a G3 Mac. Apparently
some people have lm in R working w/ apparently the same configuration that
doesn't work for others:
Machine
Dear Lamack:
Have you considered "lme" or "varcomp"? For me, essential documentation
for "lme" is Pinhiero and Bates (2000) Mixed-Effects Models in S and
S-Plus (Springer).
In my experience, it is easier to get "varcomp" to run but harder to get
the answers I want from it.
Best Wishes,
Spenc
Hello All,
Is there a fast way to find the index(row and column) of a point in a
matrix?
Thanks,
John.
--
--
Dr. John Janmaat
Department of Economics, Acadia University, Wolfville, NS, B4P 2R6
E-mail: [EMAIL PROTECTED]
Hi.
I am trying some S-Plus scripts that I used a few years ago on R. Many
things have worked flawlesly and I am very impressed with the work the
developers have done. (As I remember, the license fee on S-Plus at that
time was ~$4500 per seat (AIX) ouch!!) So, thank you.
My question relates to
This is a note to my second question. I just discovered my data containing
an 'Inf' value and this causes the error I saw when I used rcorr() function
from the Hmisc package. If I delete this observation, everything is fine.
Best,
Ming-Chung
__
[EMAIL P
Hello All,
I have a matrix of data that I want to locate a specific contour from.
Is there a function to return points on a contour (or all the drawn
contours) from a contour plot?
Thanks,
John.
--
--
Dr. John Janmaat
Depa
Dear R-help,
As a generalization, is it more efficient to use a single method to
selectively transform items in a matrix? Preferably whole-vector, yes; but
if one of the column vectors compels the use of a "for loop", is it then
faster to do all of the transformations for the matrix via that "
"Gianluca Emireni" <[EMAIL PROTECTED]> writes:
> Hi, I have a (maybe stupid) question... Does CGIwithR package can be
> installed in R for Windows to work with a Microsoft IIS web-server? Or I
> need other libraries?
It should be possible; IIS will run CGI scripts. However, that is the
limit of
There appears to be a problem on this page:
http://www.r-project.org/nocvs/mail/r-announce/1997/0014.html
When we click on your link to:
http://www.stat.unipg.it/pub/stat/statlib/R/CRAN/contents.html
we get the error: 404 File not found
We last examined your page on Wed Apr 02, 2003 at 12:13:44
Can someone point out for me where to find a package to do principal
component analysis for Affy data, if existing?
Thanks, Yongde
Yongde Bao, Ph.D
Biomolecular Research Facility
Department of Microbiology
University of Virginia School of Medicine
Charlottesville, VA 22908
E-mail: [EMAIL PROTECTE
Hello folks,
Any ideas how to do this?
data.frame is a data frame with column names "x1",...,"xn"
y is a response variable of length dim(data.frame)[1]
I want to write a function
function(y, data.frame){
lm(y~x1+...+xn)
}
This would be easy if n was always the same.
If n is arbitrary how c
I'm getting the following error message when running an SJava example:
Exception in thread "main" java.lang.UnsatisfiedLinkError: no
RInterpreter in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1344)
at java.lang.Runtime.loadLibrary0(Runtime.java:744)
I have a question about nlme (and yes, I have a copy of
"Mixed-Effects Models in S and S-Plus" on order :-)
I have a data frame, df, that I use to create a groupedData
object:
> df.K1 <- groupedData(K1 ~ tissue.ROI | scan, data=df )
If I add an outer grouping factor, I get a warning:
> df.K1 <-
CGIwithR works only on unix-like operating systems. Not Windows.
David
On Wednesday, Apr 2, 2003, at 14:12 Europe/London, Gianluca Emireni
wrote:
Hi, I have a (maybe stupid) question... Does CGIwithR package can be
installed in R for Windows to work with a Microsoft IIS web-server? Or
I
need
Hi Tony,
I looked over the files and I am puzzled why the difference in font sizes.
Unfortunately my knowledge about X window configurations is pretty scant.
(You mention in the shell script comments that you run the job as root, so I
wonder if that makes any difference to X..I doubt it). I recall
Dear R people,
Would it be possible to add "..." to the argument list of arrows() or
should this be dealt with at the user level?
The problem is that I need arrows() in a function together with points()
or text(). All these are used with their default values, but I let the
user to change these s
Dear all,
In Sweave I have a code chunk
aaa <- "Sex, Drug/Sex:W1,Drug:W1,\
Sex:W2,Drug:W2/Sex:W1:W2,Drug:W1:W2"
which in tex code turns into
\begin{Sinput}
> aaa <- "Sex, Drug/Sex:W1,Drug:W1,\nSex:W2,Drug:W2/Sex:W1:W2,Drug:W1:W2"
\end{Sinput}
meaning that the string is not split to two line
On Wed, 2 Apr 2003, Liaw, Andy wrote:
> Yves,
>
> I will add checks for NAs in predict.randomForest().
>
> In the next version of randomForest (currently called 3.9-x), there will be
> facilities for handling NAs in the training set. However, there's no way to
> handle NAs in the test set yet. I
Yves,
I will add checks for NAs in predict.randomForest().
In the next version of randomForest (currently called 3.9-x), there will be
facilities for handling NAs in the training set. However, there's no way to
handle NAs in the test set yet. I believe Leo is still working on that.
In Leo's v.
I use randomForest version 3.4-4, but yes, now I correctly omitted NA's it
works. I should have made a mistake while removing them first time.
I was surprised that this method doesn't have another way to deal with NA's
than omitting them. As Torsten Hothorn suggested, the associated predict
fun
Hi, I have a (maybe stupid) question... Does CGIwithR package can be
installed in R for Windows to work with a Microsoft IIS web-server? Or I
need other libraries?
Thank you, Gianluca.
__
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailm
Yves,
Which version of the package are you using? I get:
> soy <- na.omit(Soybean)
> ts <- sample(nrow(soy), 150, replace=FALSE)
> sb.rf <- randomForest(Class ~ ., data=soy[-ts,])
> table(predict(sb.rf, soy[ts,], type="class"))
2-4-d-injury alternarialeaf-spot
Well, thank you for your answer, but this is not doing the right thing,
that is predicting the Class value for the test set Soybean[test,]. It
gives instead prediction for data used for forest computation (ignoring all
data with NA's) ; 'data' argument is simply ignored as the right name for
th
> Well, thank you for your answer, but this is not doing the right thing,
> that is predicting the Class value for the test set Soybean[test,]. It
> gives instead prediction for data used for forest computation (ignoring all
> data with NA's) ; 'data' argument is simply ignored as the right name f
Dear all, this is a newbie's question.
I have a 4x4 latin square replicated 3 times. That is:
operators
batches 1 2 3 4
1 A B C D
2 B C D A
3 C D A B
4 D A B C
operators
batches 1 2 3 4
5 A B C D
6 B C D A
7 C D
Hello everybody,
I'm testing the randomForest package in order to do some simulations and I
get some trouble with the prediction of new values. The random forest
computation is fine but each time I try to predict values with the newly
created object, I get an error message. I thought I was beca
Please ignore this mail. I don't remember sending this mail for the
second time. Thanks to all those who replied.
-Original Message-
From: Adaikalavan Ramasamy
Sent: Monday, March 31, 2003 3:30 PM
To: [EMAIL PROTECTED]; [EMAIL PROTECTED]
Subject: [BioC] [R] SAM: Significance of Microarray
On Wed, 2 Apr 2003, Fredrik Karlsson wrote:
> Being new to both the postgres database, ODBC and the RODBC interface, I
> am somewhat confused by some of the problems I am experiencing trying to
> connect R to the database.
You would be: there is an extensive set of help pages, and you have not
lo
What about:
bb[cbind(1:length(cc),cc)]
Eric
At 17:15 2/04/2003 +1000, [EMAIL PROTECTED] wrote:
Dear listers,
I'm having a bad R day. I just can't think of the vectorized equivalent of:
for (ii in 1:n) aa[ii] = bb[ii,cc[ii]]
Any suggestion received with embarrassment and gratitude
Simon Ga
On Wed, 2 Apr 2003 [EMAIL PROTECTED] wrote:
> Dear listers,
> I'm having a bad R day. I just can't think of the vectorized equivalent of:
>
> for (ii in 1:n) aa[ii] = bb[ii,cc[ii]]
aa <- bb[cbind(1:n, cc[1:n])]
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied St
[EMAIL PROTECTED] wrote:
Dear listers,
I'm having a bad R day. I just can't think of the vectorized equivalent of:
for (ii in 1:n) aa[ii] = bb[ii,cc[ii]]
Any suggestion received with embarrassment and gratitude
a <- b[cbind(1:n, cc[1:n])]
Uwe Ligges
Simon Gatehouse
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