similar to: client-server setup for R

Hi, Is there any existing functions to open an HTTP connection and HTTP POST some R data? like <form method="post" enctype="multipart/form-data"> etc. </form> but within R. Thanks, ===== Nathan Whitehouse Statistics/Programming Baylor College of Medicine Houston, TX, USA nlwhitehouse at yahoo.com http://rho-project.org: rho- open source

hello. My name is kerlim arturo. i was search into internet about R apache y PhP and i found your mail into foro. i want create a stadistic's software on line with language R,apache y php . i want know, what is the steps for developer this stadistic's software? where can i get information about language R, apache y php; and examples between language R and php ('source'). can I

Hi, Does anyone know if R has the functionality to calculate a simple moving average. I cant seem to find it in the help menu. thanks, Wayne Dr Wayne R. Jones Statistician / Research Analyst KSS Group plc St James''s Buildings 79 Oxford Street Manchester M1 6SS Tel: +44(0)161 609 4084 Mob: +44(0)7810 523 713 KSS Ltd A division of Knowledge Support Systems Group plc Seventh

Hello all, I'm trying to run SJava package (0.65 modified downloaded from : http://stats.math.uni-augsburg.de/iPlots/alpha/) on windows NT 2000 and R 1.8.01. I have also downloaded the PDF Calling R from Java and when I want to execute the following code: import org.omegahat.R.Java.*; import java.io.*; public class Essai{ public static void main (String [] args) { REvaluator e = new

Hi everybody, I have the source of a C program that includes some archives .c and some libraries .h. I'm developing a program using R and I want it to load the C program I told before. How can I do that? I was looking for some function in R to do that and I found the .C() but I can't understand how it works. Somebody could help me? Thanx, Talita Perciano Costa Leite Graduanda em

Hi, It is my understanding that the eigenvectors of a circulant matrix are given as follows: 1,omega,omega^2,....,omega^{p-1} where the matrix has dimension given by p x p and omega is one of p complex roots of unity. (See Bellman for an excellent discussion on this). The matrix created by the attached row and obtained using the following commands indicates no imaginary parts for the

Hi everyone, Could somebody explain to me what is the package/function for classification analysis. I am performing analysis of music files in the form of MIDI files. I end up with about 750 dependent variables from the analysis, I also have a number of independent/grouping variables that I set manually. What I would like is to be able to predict which group a particular MIDI files belongs to

Could anyone help me with the following issue. Using the GSL library in R I define the following code: ######### library(gsl); S<-function(n) { r<-0:n; ans<-sum(gsl_sf_choose(n,r)*(-1)^r*2^(2*r)*gamma_inc(6-2*r,2)) ans } ######### >SS(10) yields 34.91868 >SS(40) yields 5.340422 >SS(60) yields 180.3162 Doing the same computations in maple I get

Is there a simple way to decompose the upper triangle of a correlation matrix to a linear list; For example: X Y Z X 1 2 3 Y 2 1 4 Z 3 4 1 so you get a list like: xy 2 XZ 3 YZ 4 I suspect you can do it with a matrix transformation, but that beyond me at present. Many thanks Mark _________________________ Department of Molecular and Human Genetics, Baylor College of Medicine,

I would like to call C routines from Fortran under linux as suggested in section 5.6 of the "Writing R extensions" documentation. I'm familiar with Fortran but not with C. I understand the example provided in Fortran: subroutine testit() double precision normrnd, x call rndstart() x = normrnd() call dblepr("X was", 5, x, 1) call rndend() end but I don't understand

Hi guys im having a problem getting R to numerically integrate for some function, say f(bhat)*optimize(G(bhat)), over bhat. Where id like to integrate this over some finite range, so that here as we integrate over bhat optimize would return a different optimum. For instance consider this simple example for which I cannot get R to return the desired result: f <- function(bhat) exp(bhat) g

The cells are interpreted as counts, so by scaling you're analyzing a different experiment (one with fewer observations). So the chi-squared value will change (the terms (O-E)^2/E in the statistic scale linearly ignoring rounding and "Yates' continuity correction"). The chisq.test on the original data is a test of association. Conventionally you decide ahead of time on a

Take a look at package mgcv. Hope this helps. --Matt -----Original Message----- From: RenE J.V. Bertin [mailto:rjvbertin at despammed.com] Sent: Thursday, February 27, 2003 1:39 PM To: r-help at stat.math.ethz.ch Subject: [R] multidimensional function fitting Hello, I have been looking around for how to perform a multidimensional, arbitrary function fit (in any case non-linear; more below),

Dear helpers in this forum, This is a clarified version of my previous questions in this forum. I really need your generous help on this issue. > Suppose I have the following data set: > > id x y > 023 1 2 > 023 2 5 > 023 4 6 > 023 5 7 > 412 2 5 > 412 3 4 > 412 4 6 > 412 7 9 > 220 5 7 > 220 4 8 > 220 9 8 > ...... > Now I want to compute the

Is there a means to split a vector into its individual elements without going the brute-force route for arguments to a predefined function call? offred.rgb <- c(1, 0, 0) * 0.60; ## Brute force style offred.col <- rgb(offred.rgb[1], offred.rgb[2], offred.rgb[3], names = "offred") ## Desired style

Hi, I am trying to run a very computationally expensive procedure in R-2.0.0. and the process always gets killed after approx 8 minutes. This procedure calls some of my own C++ code - in case it was this code causing a memory leak I unload and then reload the .so file every time, however I still get the same problem. The procedure is run 16000 times and always calls the lm() function. My

In general this is what "apply" does. In your example you could use rowMeans(ar) as well, I think. Reid Huntsinger -----Original Message----- From: Olivier Martin [mailto:olivier.martin at inrialpes.fr] Sent: Tuesday, July 02, 2002 10:55 AM To: r-help Subject: [R] mean and array Hi all, I have an array, one say ar, with 3 dimensions. dim(ar) >200 3 4 I would like to

Hi - I am doing a monte carlo experiment that requires to do a linear regression of a matrix of vectors of dependent variables on a fixed set of covariates (one regression per vector). I am wondering if anyone has any idea of how to speed up the computations in R. The code follows: #regression function #Linear regression code qreg <- function(y,x) { X=cbind(1,x) m<-lm.fit(y=y,x=X)

Stock returns and other financial data have often found to be heavy-tailed. Even Cauchy distributions (without even a first absolute moment) have been entertained as models. Your qq function subtracts numbers on the scale of a normal (0,1) distribution from the input data. When the input data are scaled so that they are insignificant compared to 1, say, then you get essentially the

Hi, all; Our group is planning to develop a web-based analysis package with R. I have some questions. (1) Can we use R as a daemon-like way such that, after invoking R and making it run in a kind of background mode, just put some R script into R using some pipe-like mechanism and retrieve the result out of it? (2) If this is possible, then how can we do it? If this is not possible, then what