similar to: Split the work for many cores

Dear all, Does any one know if any R package or function can do Ordinary Least Products regression? Many thanks! Bill

Dear all, I have a function that for a variable number of inputs plots them to the same plot I am doing this quite simply by plot(seq(from=start, to=stop, length.out=np), datalist[[1]]$dataset                                                                  xlim=c(start, stop), ylim=c(0, 1), type="l")                                                                                      

I'm trying to convert an S-Plus program to R.  Since I'm a SAS programmer I'm not facile is either S-Plus or R, so I need some help.  All I did was convert the underscores in S-Plus to the assignment operator <-.  Here are the first few lines of the S-Plus file:   sshc _ function(rc, nc, d, method, alpha=0.05, power=0.8,              tol=0.01, tol1=.0001, tol2=.005, cc=c(.1,2),

I've just developed edtdbg, a small package that integrates R's debug() with one's text editor. Excerpt from the README file: Goal The debug() function in R is primitive. My goal was to make it more usable by integrating it with one's text editor. Hence I wrote the package here, edtdbg. Its features include: * As one steps from line to line of code

Dear all could you please plot many x's and y's with one legend per plot? I would like to thank you in advance for your help Best Regards Alex.

I've developed a new R debugging tool, debugR, available at http://heather.cs.ucdavis.edu/debugR.html This basically replaces my edtdbg, which I will no longer be supporting. The new tool is now decoupled from one's text editor, and has a lot more features than edtdbg did. Try it! Feedback is encouraged, of course. Norm Matloff

Dear all, I would like to plot under the same plot many curves like mycdf<-ecdf(runif(100)) plot(mycdf) curve(mycdf,from=-1,to=1) mycdf<-ecdf(runif(200)+3) plot(mycdf) curve(mycdf,from=-1,to=1) as you can see each new call to curve redraws (erases) the window. How I can have an effect like plot(mycdf) lines(mycdf2) lines(mycdf3) I would like to thank you in advance for your help

Dear R-help I have two separate experiments, one a repeated-measures design, the other a split-plot. In a standard ANOVA I have usually undertaken a multiple-comparison test on a significant factor with e.g TukeyHSD, but as I understand it such a test is inappropriate for repeated measures or split-plot designs. Is it therefore sensible to use Helmert contrasts for either of these designs?

My long-promised Rdsm package is now on CRAN. Some of you may recall that I made a prototype available on my own Web page last July. This is the official version, much evolved since I released the prototype. The CRAN description states: Provides a threads-like programming environment for R, usable both on a multicore machine and across a network of multiple machines. The package

Hi all, I am looking for a function similar to mclapply() that would work with GPU cores. I have looked at all possible packages related to GPU computing but they are mainly providing functionality for big dataset or big matrices. I use mainly mclapply to speed up simulations by running several simulations in parallel, which works nicely. Is it possible to do the same with a multicore GPU? I

Dear list, I get the following error message when installing the package GRASS. missing link(s): interp.new missing link(s): vgram Krig predict.Krig predict.se.Krig See also below for the full installation message. What does this mean exactly? Regards, Ulrich ------------------------------------------------------------------ > R CMD INSTALL

Dear R-helpers, I'm having trouble compiling R packages from source on Win2K. I installed R 1.7.1beta [1] on my win2k machine [2], downloaded the fields package as source [3] and tried but failed to install the package [4]. I get the same problem with other packages, so it doesn't appear to be limited to fields. Installation of precompiled packages seems to work fine. I've been

Hi, I am sorry for this simple question, but... How do I extract something from a data.frame? The following is my Problem: I have got a dataframe "a" with various columns. One of those columns is called V3 and contains elements of the following levels: > levels(a$V3) [1] "C" "CA" "CB" "CD" "CD1" "CD2"

( previous thread at http://www.syslinux.org/archives/2015-January/023050.html ) > > <info from="web interface mailman" extra_from="backend mailinglist software"> > dmarc_moderation_action Option > dmarc_moderation_action (privacy): Action to take when anyone posts > to the list from a domain with a DMARC Reject/Quarantine Policy. > >

On Mon, 8 Apr 2019, @lbutlr wrote: > Really? Where outside the Received headers do IPs appear in your email headers? Well, let's see. Running a rough grep on 270-message spam folder # grep -E '^[-A-Za-z0-9]+:.*[^.0-9]{0,1}[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}' ~/mail/FN | sort -u -k1,1 -t: Authentication-Results: spf=fail (sender IP is 52.233.28.167) List-Help:

Hi I'm reading a CSV file using read.table, and it keeps importing a text variable as a factor. To overcome this, I've used the as.is command referring to the variable in question (called "stim") data<-read.table(file.choose(), header=T, sep=",", as.is = "stim") However, "stim" is still imported as a factor. I notice there are other read.table

I find the R debug package very useful. I've installed and used it on several of the machines I use, without problems, but on one machine I get the following error: Loading required package: mvbutils Loading required package: utils MVBUTILS: no "tasks" vector found in ROOT Loading required package: tcltk Loading Tcl/Tk interface ... done [Previously saved

Hello when my code executes I receive the message that were some warnings. I want to catch warning messages at run time so to print some local variables and try to understand why this warning happens. I searched on internet and I tried withCallingHandlers( which seems to work but as I used Rkward the result is awful. I get a prompt to copy paste a value only while at the same time my background

Dear all, I would like to use the following function fitdist(data, distr, method=c("mle", "mme", "qme", "mge"), start=NULL, fix.arg=NULL, ...) for many different distr values like distr=c("norm","lnorm","pois") (just a small example) and take back into a list the parameter name which is what is inside distr plus what the

Dear all I am looking for a shorter way and more elegant to write the following for (i in c(1:length(Shadowlist))){ filename<-paste('/home/apa/maps/',model,i,'.mat',sep="") varname<-paste(model,'_shadow',i,sep="") eval(parse(text=paste('writeMat(filename,',varname,'=Shadowlist[[i]])',sep=""))) } actually I do not