Hello,
is there any one who uses C++ STL classes when programming shared libs
for R and has had any problems with STL?
In the very simple example below I am constantly getting segfaults when
trying to populate the queue. The segfault occurs at what looks like a
random index in the loop when
Continued: With the following modifications (using pointers) it works
(needs memory cleaning afterwards and new less operator though) and I do
not understand why:
typedef priority_queuePixel * PixelPrQueue;
...
pq.push( new Pixel(i, j, val) );
...
Oleg Sklyar wrote:
Hello,
is there any one
Here is the list of NN related packages
http://cran.r-project.org/src/contrib/Views/MachineLearning.html
I also have written some bindings from R to the SNNS (Stuttgart neural
network simulator), however, they are still not on the release stage.
vinod gullu wrote:
I am interested in Neural
Hi
On 12 Feb 2007 at 10:42, Michael Rennie wrote:
Date sent: Mon, 12 Feb 2007 10:42:21 -0500
To: Petr Pikal [EMAIL PROTECTED],
r-help@stat.math.ethz.ch
From: Michael Rennie [EMAIL PROTECTED]
Subject:Re: [R] Trying to replicate
Hi R users,
I am unable to load RMySQL. The zip file is not available which I guess
is needed to load this pakage.
I also tried extracting the package from RMySQL_0.5-11.tar.gz and then
pasted the package in the directory where R is loaded for which I am
getting the following error message
Dear useRs,
last week I asked you about a problem related to isoMDS. It turned
out that in my case isoMDS was trapped. Nonetheless, I still have
some problems with other data sets. Therefore I would like to know if
anyone here has experience with how well isoMDS performs in
comparison to
--- Christian Convey [EMAIL PROTECTED]
wrote:
I'd like to have a data.frame structured something
like the following:
d - data.frame (
x=list( c(1,2), c(5,2), c(9,1) ),
y=c( 1, -1, -1)
)
The reason is this: 'd' is the training data for a
machine learning
algorithm. d$x is the
On 2/13/2007 3:55 AM, Oleg Sklyar wrote:
Hello,
is there any one who uses C++ STL classes when programming shared libs
for R and has had any problems with STL?
I don't, but I'd suggest asking a technical question like this on
R-devel instead of R-help if you don't get help here.
I can see
Dear Phil,
I don't have experiences with Minissa but I know that isoMDS is bad in
some situations. I have even seen situations with non-metric
dissimilarities in which the classical MDS was preferable.
Some alternatives that you have:
1) Try to start isoMDS from other initial configurations
Duncan,
you are right about Rf_..., otherwise the lengths are checked in the R
side, this is just one of the functions I have in the package and all
arguments are thoroughly checked.
But apparently, the same code if redefined for using pointers instead of
references works just perfectly fine
Hi R,
Please solve my problem...
I am extracting Bloomberg data from R, in a loop. R is getting fatigued
by doing this process and gives some errors. I introduced sleep
function. Doing this sometimes I get the results and sometimes not. I
even noticed that if I give complete rest
Hi Shubha,
Perhaps you haven't gotten any help because you haven't provided a
reproducible example, or even told us what you are trying to do (specifically)
or what errors you are receiving. Frankly, your problem statement doesn't
make any sense to me, and I can't provide advice without more
OhkkkI will try to do that now
This is my download function...
download-function(fil)
{
con-blpConnect(show.days=show_day, na.action=na_action,
periodicity=periodicity)
for(i in 1:lent)
{
Sys.sleep(3)
cdaily-blpGetData(con,unique(t[,i]),fil,start=as.chron(as.Date(1/1/199
6,
Hello!
I do not understand what is meant by:
aic and bic follow a top-down strategy based on the Akaike's and Schwarz's
information criteria
in the datails to the ADF.test function. What does a top-down strategy mean?
Probably the respective criterion is minimized and the mode vector
Hi All,
I want to read MPS format file using this file.
I am able to read cofficient of objective function,number of columns, number
of rows etc.
But not able to read constraint matrix its rhs values.
Could anyone please help in this?
is there any good documentation available
Dear R users,
I have now tried out several options of obtaining p-values for
(quasi)poisson lmer models, including Markov-chain Monte Carlo sampling
and single-term deletions with subsequent chi-square tests (although I
am aware that the latter may be problematic).
However, I encountered
Hello
Using R Version 2.3.1 I have setup a cronjob to update packages,
which worked successfully almost a year (it was called daily).
Basically, it runs like this:
Sys.getenv(http_proxy)
update.packages(ask=F,repos=http://cran.r-project.org;)
(the http_proxy environment variable is set prior
That's a help. It isn't actually reproducible since I have no idea where
for example blpConnect() comes from, but it's still an improvement.
Moving the important bit to the top:
The error message I get if the program is not run is:
Error in dimnames(x) - dn : length of 'dimnames' [2] not
Can anyone point me to a package that contains code to triangulate a
polygon? This is easy if the polygon is convex, but tricky if not. One
algorithm to do it is due to Meister, and is described here:
www.math.gatech.edu/~randall/AlgsF06/planartri.pdf
Duncan Murdoch
Dear All
I want to generate multivariate normal data in R for a given covariance
matrix, i.e. my generated data must have the given covariance matrix. I
know the rmvnorm command is to be used but may be I am failing to
properly assign the covariance matrix.
Any help will be greatly
Hi
give rmvnorm() any symmetric positive definite matrix and it should
work:
rmvnorm(n=10,mean=1:2,sigma=matrix(c(1,0.5,0.5,1),2,2))
[,1] [,2]
[1,] -0.1118 2.514
[2,] 1.8667 1.628
[3,] 3.2477 2.263
[4,] 1.0166 2.381
[5,] -0.0888 -0.132
[6,] -0.9249 0.610
[7,] 1.5046
Dear Shubha,
The error message tells you that the error occurs in the line:
merge(d_mer,cdaily)
And the problem is that d_mer and cdaily have a different class. It
looks as you need to convert cdaily to the correct class (same class as
d_mer).
Don't forget to use traceback() when
Have you tried the tri-package?
Cheers,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Reseach Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section
Hello!
I do not understand what is meant by:
aic and bic follow a top-down strategy based on the
Akaike's and Schwarz's information criteria
in the datails to the ADF.test function. What does a top-down
strategy mean? Probably the respective criterion is minimized
Hello Martin,
are you
Rauf Ahmad wrote:
Dear All
I want to generate multivariate normal data in R for a given covariance
matrix, i.e. my generated data must have the given covariance matrix. I
know the rmvnorm command is to be used but may be I am failing to
properly assign the covariance matrix.
Any help
Hello,
I was thinking that was probably the case. I'm creating a series of graphics
that contain smaller graphics, and was trying to reduce the bounding box as
much as possible with out the plotting points bleeding over to the
surrounding features. I could hard code the size of the bounding boxes
you probably want to use mvrnorm() from package MASS, e.g.,
library(MASS)
mu - c(-3, 0, 3)
Sigma - rbind(c(5,3,2), c(3,4,1), c(2,1,3))
x - mvrnorm(1000, mu, Sigma, empirical = TRUE)
colMeans(x)
var(x)
I hope it helps.
Best,
Dimitris
Dimitris Rizopoulos
Ph.D. Student
Biostatistical
'should work', yes.
Do what he asked for (in any reasonable reading), no.
set.seed(1)
library(mvtnorm) ## you both omitted to mention that
X - rmvnorm(n=10,mean=1:2,sigma=matrix(c(1,0.5,0.5,1),2,2))
var(X)
[,1] [,2]
[1,] 0.4878773 0.1238040
[2,] 0.1238040 0.9508090
Shubha,
You suggested the solution yourself: first make sure that the downloaded
data has no errors and reload it when it has errors. But that's
something you'll have to do yourself. Have a look at the data downloaded
with and without errors and try to see the difference. Again: it's
impossible
On 2/13/2007 9:43 AM, ONKELINX, Thierry wrote:
Have you tried the tri-package?
You mean tripack?
I looked and saw Delaunay triangulation (triangulating points), but
triangulating polygons is a different (unrelated?) problem.
Duncan Murdoch
Cheers,
Thierry
On 2/13/2007 9:15 AM, [EMAIL PROTECTED] wrote:
Hello
Using R Version 2.3.1 I have setup a cronjob to update packages,
which worked successfully almost a year (it was called daily).
Basically, it runs like this:
Sys.getenv(http_proxy)
Hi all, thanks for your reply
But I have to make one thing clear that there are no errors in
programming...I assure that to you, because I have extracted the data
many times from the same program...
The problem is with the connection of R with Bloomberg, sometimes the
data is not fetched at
On Tue, 13 Feb 2007, ONKELINX, Thierry wrote:
Have you tried the tri-package?
Perhaps the GPC C library used in the gpclib package, and in PBSmapping
will get closer - it partitions polygons into tristrip sets.
Cheers,
Thierry
Hi,
google R tryCatch example and you'll find:
http://www.maths.lth.se/help/R/ExceptionHandlingInR/
Hope this helps
Henrik
On 2/13/07, Stephen Bond [EMAIL PROTECTED] wrote:
Henrik,
I had looked at tryCatch before posting the question and asked the
question because the help file was not
Thanks for giving it a try. It is very odd that you got
Content-Length when I am getting Content-length. I just tried
curl (I had been using telnet to port 80) and I got the same (error
causing) length result:
curl --head http://www.stats.ox.ac.uk/pub/datasets/csb/ch11b.dat
HTTP/1.1 200 OK
Hello,
Does somebody could help me in the computation(formulation) of a
hierarchical ANOVA using linear model in R?
I'm working in a population biology study of an endangered species. My aim
is to see if I have effects of Density of individuals/m2 on several
measured plants fitness traits.
As
Hi R-users,
Could anyone point me to package of GEV (not the POT package) including
function that estimates parameters by weighted moments method?
Best regrads
Lassana KOITA
Chargé d'Etudes de Sécurité et d'Exploitation aéroportuaires / Project
Engineer Airport Safety Studies Statistical
On Tue, 2007-02-13 at 08:31 -0800, Strongbad78 wrote:
Hi all,
For aestethic purposes, I would like to plot points on an xy plot that
consist of a filled circle with a black outline.
I can sort of bodge it by plotting pch=21, col=black and pch=16, col=red
on the same plot, but it looks a bit
If you tell me how to update R itself automatically, I will go for your
advice.
I am not aware of any method to do it...
Bye
Rick
ONKELINX,
The problem with your code is that it doesn't check for errors. See
?try, ?tryCatch. For example:
my.download - function(forloop) {
notok - vector()
for (i in forloop) {
cdaily - try(blpGetData(...))
if (class(cdaily) == try-error) {
notok - c(notok, i)
} else {
Hi,
I'm using a loop to evaluate several models by taking adjacent variables from
my dataframe.
When i try to get predictions for new values, i get an error message about a
missing variable in my new dataframe.
Below is an example adapted from ?gam in mgcv package
library(mgcv)
set.seed(0)
Roderick,
I'm not suggesting that you need a script to update R automatically. I
don't think it is possible to do that. I just was wondering why you are
so eager to update all the packages daily, but still are working with an
outdated version of R.
Myself, I tend to check the R lists for new
Hello
I was wondering how I can achieve matlab style plotting in R,
in the sense that matlab allows you to plot multiple sets of variables
within the same
x-y axes. plot in R does not seem to cater for this. I tried 'overplot' from
the gplots package but this assumes different y axes for the
The call to library(splines) is missing and also try replacing the
line b - ... with
fo - as.formula(sprintf(y ~ s(x0) + s(x1) + ns(%s, 3), names(Mydata)[i]))
b - do.call(gam, list(fo, data = Mydata))
to dynamically recreate the formula on each iteration of the loop
with the correct name, x2
Many thanks for this, Jas. I was successfully able to use the revised
version of multinomRob, and it satisfies exactly the needs I was looking
for.
Thanks once again.
Best,
Roger
Jasjeet Singh Sekhon wrote:
As we noted earlier and as is clearly stated in the docs, multinomRob
is
Actually this simpler replacement for the b - ... line would work just as well:
fo - as.formula(sprintf(y ~ s(x0) + s(x1) + ns(%s, 3), names(Mydata)[i]))
b - gam(fo, data = Mydata)
On 2/13/07, Gabor Grothendieck [EMAIL PROTECTED] wrote:
The call to library(splines) is missing and also try
Hi Maria,
I'm interested in the responses you get. The way I do this is to use
par(new=TRUE), which tells R not to clean the frame before plotting
the next plot. So, eg
###Overlaid plot
op - par(mar = c(5, 4, 4, 5) + 0.1, las = 2)
In traditional R graphics, you can take a look at matplot.
You might also want to look at the lattice package.
Hope this helps,
Matt Wiener
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Maria
Vatapitakapha
Sent: Tuesday, February 13, 2007 12:20 PM
try
?lines
?points
On 2/13/07, Maria Vatapitakapha [EMAIL PROTECTED] wrote:
Hello
I was wondering how I can achieve matlab style plotting in R,
in the sense that matlab allows you to plot multiple sets of variables
within the same
x-y axes. plot in R does not seem to cater for this. I
Hey, all. I'm looking for packages that are good at two things
1) Drawing directed graphs (i.e nodes and edges), both with single
and double headed arrows, as well as allowing for differences in line
width and solid versus dashed. Note: I've tried Rgraphviz here, but
have run into some
Dear all,
I have been looking for a while for ways to simulate from Langevin
distributions and I thought I would ask here. I am ok with finding an
algorithmic reference, though of course, a R package would be stupendous!
Btw, just to clarify, the Langevin distribution with (mu, K), where mu is
Also try gplot in the sna package to see if it does what you want.
Here are some examples from the r-help archives:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/87003.html
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/84442.html
On 2/13/07, Jarrett Byrnes [EMAIL PROTECTED] wrote:
Hey,
Jarrett,
check the gplot function in package SNA and the plot.igraph and
tkplot functions in package 'igraph'. SNA's gplot is more flexible,
it knows different shapes, edges can be curved, etc, tkplot is interactive
if you desire that. It is also easy to convert between the two
graph
Sorry for not threading: I don't subscribe to this list, and the
linking of web browser and email seems to be rudimentary.
I don't know what is Minissa. Sounds like a piece of software. What is
the method it implements? That is, is it supposed to implement the same
method as isoMDS or
You might also want to look at the network package, which includes a
plot method for network objects that is pretty flexible. It also
enables you to convert a network object into various different matrix
reprentations.
On 13/02/07, Jarrett Byrnes [EMAIL PROTECTED] wrote:
Hey, all. I'm looking
There are many ways if I understood what you indend to do:
example data:
toplot-data.frame(x=c(1:5,1:5),y=rnorm(10),sbs=c(rep(a,5),rep(b,5)))
1st with plot itself:
plot(y~x,data=toplot,type=n)
lines(y~x,data=subset(toplot,sbs==a),type=b,pch=4,col=blue)
Folks,
I have three dataframes storing some information about
two currency pairs, as follows:
R a
EUR-USD NOK-SEK
1.231.33
1.221.43
1.261.42
1.241.50
1.211.36
1.261.60
1.291.44
1.251.36
1.271.39
1.231.48
1.221.26
1.241.29
1.271.57
1.21
I can't be sure what is happening to Shubhak, but I know that
the Bloomberg server bbcomm.exe throws unhandled exceptions in a
unreproducable and uncatchable way, somewhere in their tcp code.
It is one of the big frustrations for me in my work.
Shubhak, I think you will just have to look
Hi Ranjan,
I think that the following would work:
library(MASS)
rlangevin - function(n, mu, K) {
q - length(mu)
norm.sim - mvrnorm(n, mu=mu, Sigma=diag(1/K, q))
cp - apply(norm.sim, 1, function(x) sqrt(crossprod(x)))
sweep(norm.sim, 1, cp, FUN=/)
}
mu - runif(7)
mu - mu / sqrt(crossprod(mu))
On 2/13/2007 10:10 AM, Roger Bivand wrote:
On Tue, 13 Feb 2007, ONKELINX, Thierry wrote:
Have you tried the tri-package?
Perhaps the GPC C library used in the gpclib package, and in PBSmapping
will get closer - it partitions polygons into tristrip sets.
That would be just what I need.
Hello!
I am applying the ADF.test function from package uroot to a time series of
data. When I apply the full test, incorporating drift and trend terms, the
regressor estimate of the drift term is not significantly different from zero.
So I apply the test to a model without drift term, with
Hi,
I need to integrate a 2D function over range where the limits depend
on the other e.g integrate f(x,y)=x*y over {x,0,1} and {y,x,1}.
i.e \int_0^1 \int_x^1 xy dydx
I checked adapt but it doesn't seem to help here. Are they any
packages for this sort of thing?
Hi.
I have been looking at the PCAproj function in package pcaPP (R 2.4.1) for
robust principal components, and I'm trying to interpret the results. I
started with a data matrix of dimensions RxC (R is the number of rows /
observations, C the number of columns / variables). PCAproj returns a
Murali -
I've come up with something that might with work, with gratutious use of
the *apply functions. See ?apply, ?lappy, and ?mapply for how this
would work. Basically, just set my.list equal to a list of data.frames
you would like included. I made this to work with matrices first, so
I just happen to also have a MacOS 10.4 machine, but when I tried from
there, I still got Content-length. Anyway, I am fairly certain that
headers received from web servers would not be modified by the
receiving machine or anything in-between. I suspect that the machine
at www.stats.ox.ac.uk,
Hi All,
Thanks to lots of good ideas from R-helpers, I've polished up the table
and posted it here:
http://oit.utk.edu/scc/RforSASSPSSproducts.pdf
To be consistent with its product orientation, I dropped mixed models
(it's not a separate product in either SAS or SPSS). I also added SAS/QC
and
Hi,
By defining your function appropriately (e.g. using indicator functions),
you can make adapt work:
myfunc - function(x) {
x[1]*x[2] * (x[1] = x[2])
}
# Exact answer is 1/8
library(adapt)
adapt(2, lo=c(0,0), up=c(1,1), functn=myfunc)
value relerr minpts lenwrk
A new version of Rattle (2.1.123), a Gnome-base GUI for data mining,
written copmletely in R, and available on GNU/Linux, Unix, Mac OSX, and
MS/Windows, has been released to CRAN.
There has been quite a lot of activity since the last update, including:
Transform:
Now include basic
Hi,
I am a non-expert user of R. I am essaying the fit of two different functions
to my data, but I receive two different error messages. I suppose I have two
different problems here... But, of which nature? In the first instance I did
try with some different starting values for the
Suppose our data frames are called DF1, DF2 and DF3. Then
find the least number of rows, n, among them. Create a
list, DFs, of the last n rows of the data frames and another
list, mats, which is the same but in which each component is a
matrix. Create a parallel median function, pmedian,
Sorry, I switched variable names part way through. Here it is again:
DFs - list(DF1, DF2, DF3)
n - min(sapply(DFs, nrow))
DFs - lapply(DFs, tail, n)
mats - lapply(DFs, as.matrix)
pmedian - function(...) median(c(...))
medians - do.call(mapply, c(pmedian, mats))
replace(DFs[[1]], TRUE, medians)
Hi Daniela,
Please read the error message from nls. The problem is with the start
values for the parameters a and b. You haven't specified any, so it uses
default values of a=1 and b=1, which may not be very good. So, you should
specify good start values, if you have a reasonable idea of what
Hi, let's say I have this
A = matrix(c(1, 2, 4), nrow=1)
colnames(A)=c(YOO1, YOO2, YOO3)
# ie
# YOO1 YOO2 YOO3
#[1,]124
HELLO - NULL
HELLO$YOO1=BOO
HELLO$YOO2=BOO
HELLO$YOO3=HOO
and I want a matrix that will sum my categorization.. how can I do it
efficiently without any
Thanks for your message.
I don't know what is Minissa. Sounds like a piece of software. What
is the method it implements? That is, is it supposed to implement
the same method as isoMDS or something else? IsoMDS implements
Kruskal's (and Young's and Sheperd's and Torgeson's) NMDS, but
there
Hi, let's say I have this
A = matrix(c(1, 2, 4), nrow=1)
colnames(A)=c(YOO1, YOO2, YOO3)
# ie
# YOO1 YOO2 YOO3
#[1,]124
HELLO - NULL
HELLO$YOO1=BOO
HELLO$YOO2=BOO
HELLO$YOO3=HOO
and I want a matrix that will sum my categorization.. how can I do it
efficiently without any
Rene Braeckman writes:
I had the same problem some time ago. Below is a function that I
picked up on the web somewhere (can't remember where; may have been a
newsletter). It's based on the tseries function but the difference is
that this function produces a data frame with a column
Thanks to Ravi Varadhan for providing the solution. I guess the answer is that
if
X is MVN with mean mu and dispersion matrix given by I/K, then X/norm(X) is
Langevin with the required parameters. A reference for this is Watson's
Statistics on Spheres.
Many thanks again and best wishes.
Dear list,
I have to do an ANOVA analysis with one fixed effect A and one random
effect SUBJECT. TO do this I used aov in the form
aov.m1 - aov(depvar ~ A + Error(SUBJECT/(A)));
My question is if I obtain significant differences within the strata,
does it make any sense to make multiple
Dear all,
I met a problem when installing new packages on R, my system is linux
fedora 6.0, the following is output. please help me. Thanks.
install.packages('lars')
--- Please select a CRAN mirror for use in this session ---
Loading Tcl/Tk interface ... done
trying URL
Hi,
Save over 50% on your medication
http://www.ledrx .com
Remove space in the above link
month will affect you, with reference to your personal chart, she
snapped, sounding much more like Professor McGonagall than her usual
airy-fairy self. I want it ready to hand in next Monday, and no
Hi Jarrett,
would the coercion methods for the graph class, provided by the
package of the same name at Bioconductor be useful for doing what you
want? This is the same class that also Rgraphviz works on. Try
library(graph)
example(graphNEL-class)
as(gR, matrix)
class ? graph
class ? graphNEL
Hi, let's say I have this
A = matrix(c(1, 2, 4), nrow=1)
colnames(A)=c(YOO1, YOO2, YOO3)
Why do you need A to be a matrix and not simply a vector?
# ie
# YOO1 YOO2 YOO3
#[1,]124
HELLO - NULL
HELLO$YOO1=BOO
HELLO$YOO2=BOO
HELLO$YOO3=HOO
Why do you need HELLO
Romain,
Look for info on mixed models.
In R you do this either with the library nlme or lme4.
A good starting point is an article by Doug Bates in Rnews
http://cran.r-project.org/doc/Rnews/Rnews_2005-1.pdf
Joris
[EMAIL PROTECTED] wrote on 13/02/2007 17:16:41:
Hello,
Does somebody could
Hi,
Thanks! That should do it.
Saptarshi Guha | [EMAIL PROTECTED] | http://www.stat.purdue.edu/~sguha
On Feb 13, 2007, at 3:56 PM, Ravi Varadhan wrote:
Hi,
By defining your function appropriately (e.g. using indicator
functions),
you can make adapt work:
myfunc - function(x) {
Hello Ying,
This is really a Fedora Core 6 question. But anyway, it appears that you do not
have gfortran which comes in the appropriate development package installed.
Assuming you use yum, you find out the RPM using the following
yum provides gfortran
which will give you the RPM which
Hello All
I am using R to find the impact of ignoring clustering, when indicated by these
tests, on bias, variance and inference of estimates of interest, including
population totals and regression coefficients. But when U have used the apVar
function using the command
test.lme1$apVar
to find
Henrik,
thank you for the reference. Can you please tell me why the following
does not work?
vec=c(hdfhjfd,jdhfhjfg)# non-existent file names
catch=function(vec){
tryCatch({
ans =NULL;err=NULL;
for (i in vec) {
source(i)
ans=c(ans,i)
}
},
Hi,
I am trying the lattice graphics in R. Let's say, such a little
experiment in file myprog.r:
f - function(){
x - 1:10
y - x^2
xyplot(y ~ x)
}
f()
Then I run the program:
source(myprog.r)
but nothing happens. Manully run f() at the command line:
f()
then the figure is shown.
On Tue, 2007-02-13 at 16:44 -0800, Dongfeng LI wrote:
Hi,
I am trying the lattice graphics in R. Let's say, such a little
experiment in file myprog.r:
f - function(){
x - 1:10
y - x^2
xyplot(y ~ x)
}
f()
Then I run the program:
source(myprog.r)
but nothing happens.
Greetings,
I am using both the lrm() {Design} and glm( , family=binomial()) to perform a
a logisitic regression in R. Apart from the typical summary() methods, what
other methods of diagnosing logistic regression models does R provide? i.e.
plotting an 'lm' object, etc.
Secondly, is there
I am using the heatmap.2 function and passing (...,xlab = label1, ylab
= label2, cexRow = 0.7, cexCol = 0.7)
I have even set cex.lab, cex.axis, cex to 0.7; but in the plot, label1
and label2 don't seem to scale down.
Any help would be appreciated.
Cheers!
Harshal
[[alternative HTML
Put the for loop outside the tryCatch(). /H
On 2/13/07, Stephen Bond [EMAIL PROTECTED] wrote:
Henrik,
thank you for the reference. Can you please tell me why the following
does not work?
vec=c(hdfhjfd,jdhfhjfg)# non-existent file names
catch=function(vec){
tryCatch({
ans
To be more precise, put the tryCatch() only around the code causing
the problem, i.e. around source(). /H
On 2/13/07, Henrik Bengtsson [EMAIL PROTECTED] wrote:
Put the for loop outside the tryCatch(). /H
On 2/13/07, Stephen Bond [EMAIL PROTECTED] wrote:
Henrik,
thank you for the
Dylan Beaudette wrote:
Greetings,
I am using both the lrm() {Design} and glm( , family=binomial()) to perform a
a logisitic regression in R. Apart from the typical summary() methods, what
other methods of diagnosing logistic regression models does R provide? i.e.
plotting an 'lm' object,
dear r-experts---I have scrounged around in google (searching r-help)
for the really obvious, but failed. could someone please point me to
whatever function computes the standard error of a linear combination
of the coefficients?
m=lm( y ~ x1 + x2 + x3 );
t.stat= (coef(m)[2]+coef(m)[3])) /
I'm working with a nested model (mixed).
I have four factors: Patients, Tissue, sex, and tissue_stage.
Totally I have 10 patients, for each patient, there are 2 tissues
(Cancer vs. Normal).
I think Tissue and sex are fixed. Patient is nested in sex,Tissue is
nested in patient, and tissue_stage
Dear Sir
Lengend add a bix containing plot discription in the existing plot. Is there
any function which decribe the lines in a plot outside the existing plot?
I have also a question related to following statement. In this statement *
is used for plot discription. If we have plotted type=o of
I'd like to have a data.frame structured something like the following:
d - data.frame (
x=list( c(1,2), c(5,2), c(9,1) ),
y=c( 1, -1, -1)
)
The reason is this: 'd' is the training data for a machine learning
algorithm. d$x is the independent data, and d$y is the dependent
data.
Try the esticon function in the doBy package.
Regards
Søren
Fra: [EMAIL PROTECTED] på vegne af ivo welch
Sendt: on 14-02-2007 04:21
Til: r-help
Emne: [R] linear coefficient combination stderr?
dear r-experts---I have scrounged around in google (searching
Hi all,
So, is there any method to make bbcomm.exe to sleep for sometime...?
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: Wednesday, February 14, 2007 12:42 AM
To: bogdan romocea; Shubha Vishwanath Karanth
Cc: r-help
Subject: RE: [R] Fatigued R
I can't be
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