similar to: Using JRclient in java application

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've installed Rserve and I've met in the bin directory of R and I've runn it and it appears //ready to answer the querie// and i've installed the Jrclient and I've put it on the desktop in the directory Jrclient and i've installed JDK and sur I'have the R language. Now when I compile the Jrclient exeamples : I've opened the concole commande and I

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, I am facing one problem of fetching R warning messages in Java Code using Rserve. It is easier to trap R Error messages by using catching RSrvException. I came to know one way of fetching R Warning messages, i.e. using "withCallingHandlers", below is my Java Program, which uses withCallingHandlers of R : import org.rosuda.JRclient.*;

Hi. I nearly have Rserve working.... I have the dialog box which says.. Rserve: Ok, read to answer queries. Having read all i can find, I followed the guidance given on http://rosuda.org/Rserve/example.shtml I tried to follow the first example but I am getting an error descirbed below. My IDE looks like this: http://www.nabble.com/file/p10705244/ide.jpg However, when I try and compile my

I don't know R absolutely, but I have to do this work for my diploma. So I'm sorry for strange message below. Please, help me anybody decides this issue. If you need any information, I'll show you all what you need. **error**:<br> > #save > #csv >file.create("C:\\Users\\Sapl\\Desktop\\NATA\\code\\Results\\Created by R\\ab_ret_banks_short_form_10.05.2006.csv")

Hi all, I am using Hartigan & Hartigan's [1] "dip test" of unimodality via the diptest package in R. The function dip() returns the value of the test statistic but I am having problems calculating the p-value associated with that value. I'm hoping someone here is familiar with this process and can explain it. In the original article there is an example using n=63 and a

Hello, I've installed Rserve and I've run it. I've installed the JRclient-RF503.jar. I've installed JDK 1.4.2 and R language version 2.7.1. Now when I compile the Jrclient exeamples from JBUILDER 9? an error appreas: package org.rosuda.JRclient does not exist ... could you please help me? Thank you in advance [[alternative HTML version deleted]]

Hi guys I have tried compiling this attached code, I made all the buffers 320, there is no trace of a 160 buffer, but I get a " SpeexEncoder requires 320 samples to process a Frame, not 160" error. Maybe there's something I'm missing, here's my code: import java.io.IOException; import java.io.FileOutputStream; import java.io.File; import

Dear All,i applied "NbClust", to my data to find optimum number of clusters, and got following resultsNow, i don't know how to read these results. more precisely, i would like to know, how to see which method is more precise for my data considering these index values.your help is needed...thanks in advance Eliza Botto > dput(Eliza)structure(list(All.index = structure(c(2, 3, 4, 5,

Hi. I am trying to modify kmeans function. It seems that is failing something obvious with the workspace. I am a newbie and here is my code: myk = function (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", + "Lloyd", "Forgy", "MacQueen")) + { + do_one <- function(nmeth) { + Z <- switch(nmeth, { + Z

Hi STATISTICA has a function called "Two-way joining" (see http://www.statsoft.com/TEXTBOOK/stcluan.html#twotwo) and the reference material states that this is based on the method as published by Hartigan (found this paper: http://www.jstor.org/pss/2284710 through wikipedia). What is the relationship (if any) between the "heatmap" function in R and this technique? Is there an

Hello guys, I'm using llvm 3.3 on windows with mingw (triple: "i386-unknown-mingw32") to compile IR code that my program generates. I do it in two phases: first I emit assembly code and then assemble it. TargetMachine targetMachine = target.createTargetMachine(triple); targetMachine.setAsmVerbosityDefault(true); targetMachine.setFunctionSections(true);

hi r-help, i am doing kmeans clustering in stats. i tried for five clusters clustering using: kcl1 <- kmeans(as1[,c("contlife","somlife","agglife","sexlife",                         "rellife","hordlife","doutlife","symtlife","washlife",                       

Hello, I am using Rserve to create a dedicated computational back-engine. I generate and pass an array of data to a java application on a separate server. I was wondering if the same is possible for an image. I believe that Rserve supports passing certain R objects and JRclient can cast these objects into their Java counterparts. If I generate a barplot in R (remotely), can I pass the graph

Dear experts, I am encountering a version-dependent issue. My laptop runs Ubuntu 12.04 LTS 64-bit, R 2.14.1; the issue explained below never occurred with this version of R My desktop runs Ubuntu 11.10 64-bit, R 2.13.2; what follows applies to this setup. The data I'm clustering is constituted by the rows of a 320 x 6 matrix containing integers ranging from 1 to 7, no missing data. I applied

Hello. This is not a question about a bug or even best practices; rather I'm trying to understand the philosophy or theory as to why certain portions of the R codebase are written as they are. If this question is better posed elsewhere, please point me in the proper direction. In the thread about the issues with the Tukey line, Martin said [1]: > when this topic came up last (for me) in

Hi All, A question from a newbie using R 2-5-0 on windows XP. Why is it that kmeans clustering with apparently the exact same parameters behaves so differently between the two following examples : > cl1 <- kmeans(subset(pointsUXO15555, select = c(2:4)), 10) Takes about 2 seconds to deliver a result > cl1 <- clust(subset(pointsUXO15555, select = c(2:4)), k=10,

Here are three reasons for converting Fortran code, especially older Fortran code, to C: 1. The C-Fortran interface is not standardized. Various Fortran compilers pass logical and character arguments in various ways. Various Fortran compilers mangle function and common block names in variousl ways. You can avoid that problem by restricting R to using a certain Fortran compiler, but that can

Hello, here is a working reproducible example which crashes R using kmeans or gives empty clusters using the nstart option with R 15.2. library(cluster) kmeans(ruspini,4) kmeans(ruspini,4,nstart=2) kmeans(ruspini,4,nstart=4) kmeans(ruspini,4,nstart=10) ?kmeans either we got empty always clusters and or, after some further commands an segfault. regards, Detlef Groth ------------ [R] Empty