similar to: Problem with calling an user defined R function from Java

Hi there, I am using JRClient to build logistic regression model in the following manner : Rconnection c = new Rconnection(); c.eval("KSN<-read.table(\"/Users/amine/Documents/Research/ Tools/R/D2R1.txt\",header=T,sep=\",\")"); c.eval("result <- glm(Nausea ~ Kaletra*Sustiva, family = binomial(link = logit), data =KSN)");

Hi Everyone, I have been trying to read some Arrayvision files( 2 channel cDNA) and am having some problem. My code is : setwd('C:/work/data/limma/ndd1'); files <- c('ndd1_1.txt','ndd1_2.txt','ndd1_3.txt'); RG=read.maimages(files,"arrayvision",sep="\t"); #Normalisation MA=normalizeWithinArrays(RG); #plotPrintTipLoess(MA); #Fit Linear

Hi After yesterday and samba not linking the %u switch we now have a samba server up and running, joined to our domain and wbinfo -u responds with all the domain users :) The add user script i`ve put in so far partly works it creates the user, but no home directory, even though browsing to the linux box still gves you //samba_server/User_name. But no home directory is created. deleting the the

Hi all, first of all: Sorry for my bad englis, and now the Question: I have some problems with running R from Java. First i tried using rJava (JRI). But the examples didnt work properly. Now im trying to establish a connection by using Rserve and JRclient (RF503). I have the following code, which i`ve found: ------------------------------------------------------------------------ public

Dear all, I'm trying to use R-functions from Java. I want to use the Package Rserve. Everthing is installed and I can run my Java-testprogramm. ... Rconnection r = new Rconnection(); double[] d = r.eval("rnorm(10)").asDoubleArray(); ... But now I get always arrays with ten "0.0", which is not correct I suppose, that is is a problem from R, because at the fist time (last

Dear list members, I am analysing my microarray data using limma package. Now I encounter several problems. Looking forward to your suggestions! Question 1: During the process of background correction using method="normexp", four warning messages appeared as "NaNs produced in: log(x)" (as you can see in the program posted below). What does that mean? How will it effect the

Hola, quisiera que me dijeran como puedo mandarle unos datos al R, de una aplicación en java. "La educación es lo que queda cuando uno se olvida de todo lo que aprendió en la escuela." [[alternative HTML version deleted]]

Can someone show me some code to do normalization by the median of some control genes for the example below? Many Many Thanks in advance This strategy selects a subset of genes (called ?control genes?) and makes the median of their data distribution similar across arrays. ??? ??? id1??? id2??? id3 control1??? 0.8??? 0.7??? 0.6 control2??? 0.6??? 0.2??? 0.4 probe1??? ??? 0.3??? 0.2??? 0.5

Dear R-listers, I am giving part of my R code : ########################################################### n=15 m=1 library("partitions") library("gregmisc") library("combinat") x = t(restrictedparts(n-m,m)) l = length(x[,1]) for(u in 1:l){ A= unique(matrix( unlist(permn(x[u,])), ncol=m, byrow=TRUE )) }

Hi, I am facing the following problems while installing xen from its source.Ihave compiled linux-2.6.11.10 with the option ARCH=xen.I had been fiddling with the various configuration to boot up the kernel but its not working anyway. When I compiled the kernel with the following option as built-in [*] Root file system on NFS I get the following error: Root-NFS: No NFS server available, giving

Hi, Does Icecast has RTP support for streaming OGG/Vorbis and OGG/theora media files? If so, then please give me some pointers on how to configure my Icecast server to listen to RTP requests. If it's not available, then is the inclusion of this feature, in plans for future release of the product? Thanks -- Subhabrata Bhattacharya

On 6/7/05, Subhabrata Bhattacharya <subh.arya@gmail.com> wrote: > Hi, > > Does Icecast has RTP support for streaming OGG/Vorbis and OGG/theora > media files? Not in the current version. It may be added in the relatively distant future, but there's nobody workingon it at the moment. Mike

The page is either too busy, or there is something seriously wrong with access to this page. Most of the time, trying to reach www.bioconductor.org results in failure. Only once in a blue moon, do I get through. In fact, thus far, I have not been able to install bioconductor, since the first source(...) command from the R command window -- following instruction on www.bioconductor.org page,

Dear All, (this msg is a statistics/computing question to the list) I'm trying to implement a modern-version of a (classic) "several-step protocol" in Fishery Biology (due to Bhattacharya, 1967): analysis of length-frequency distribution of fish larvae to id cohorts and later estimate growh rates! I've trouble with the 1st step: using kernel density estimation (KDE) function

I want to use lapply and a function returning a function in order to build a list of functions. > genr1 <- function(k) {function() {k}} > l1 <- lapply(1:2,genr1) > l1[[1]]() [1] 2 This was unexpected. I had expected the answer to be 1, since that is the value k should be bound to when genr1 is applied to the first element of 1:2. By itself genr1 seems to work fine. >

Dear R users, The first version of the package ?horseshoe' is now available on CRAN. It contains various functions for implementing the horseshoe prior for sparse linear regression, and faster versions for the special case of the normal means problem. The functions output, among other things, the horseshoe estimator (posterior mean), credible intervals, and there is a function to perform

Dear R users, The first version of the package ?horseshoe' is now available on CRAN. It contains various functions for implementing the horseshoe prior for sparse linear regression, and faster versions for the special case of the normal means problem. The functions output, among other things, the horseshoe estimator (posterior mean), credible intervals, and there is a function to perform

Dear Sir/madam, I'm getting a problem with a R-code which calculate Fisher Information Matrix for Hybrid Censored Weibull Distribution. My problem is that: when I take weibull(scale=1,shape=2) { i.e shape>1} I got my desired result but when I take weibull(scale=1,shape=0.5) { i.e shape<1} it gives error : Error in integrate(int2, lower = 0, upper = t) : the integral is probably

I could not find any documentation of how dot-dot-dot works when used as an argument in a function call (rather than as a formal argument in a definition). I would appreciate some references to the rules governing situations like: f1<-function(x,y,...){ ? print(x) } f2<-function(...){ ? f1(...) } f2(1,2,3) In the call above how are the three numbers bound to the individual formal

Dear Sir/Madam, I'm getting a problem with a R-code which converts a data frame to a matrix. It first generate a (m^(n-m) * m) matrix A and then regenerate another matrix B having less dimension than A which satisfy some condition. Now I wish to assign each row of B to a vector as individual. My problem is when I set any choice of (n,m) except m=1 it works fine but setting m=1 I got the