similar to: Reasons to Use R

CALL FOR PAPERS ================================================================= LLVM-HPC: The LLVM Compiler Infrastructure in HPC http://llvm-hpc-workshop.github.io/ November 17th, 2014, New Orleans In conjunction with the 2014 ACM/IEEE Supercomputing Conference (SC'14)

CALL FOR PAPERS ================================================================= LLVM-HPC2016: The Third Workshop on the LLVM Compiler Infrastructure in HPC http://llvm-hpc3-workshop.github.io/ November 14th, 2016, Salt Lake City, UT In conjunction with the 2016 ACM/IEEE Supercomputing Conference (SC16)

CALL FOR PAPERS ================================================================= LLVM-HPC2: The Second Workshop on the LLVM Compiler Infrastructure in HPC http://llvm-hpc2-workshop.github.io/ November 15th, 2015, Austin, TX In conjunction with the 2015 ACM/IEEE Supercomputing Conference (SC'15)

Dear All, I know this must be a one-liner, but I am experiencing problems. I need to read lists of long integers stored on a text files, i.e. which reads like "7359700484475972" "7359700484475972" "0" "7359700484475972" "0" "0" "0" "97189954101318722" "0" "0" "7811896690636354"

Hi, everyone, The paper submission deadline for this year's LLVM in HPC workshop has been further extended to September 14th (AoE). We're looking for a few additional submissions, so if you have anything that could be submitted as a paper by the beginning of next week, please take advantage of this opportunity. If you have any questions, please let me know. SC20 is now a virtual

Dear All, Ages ago I posted to this mailing list asking for advice about to evangelize the use of R in an international public administration where the fact that R is free is not a decisive factor (actually its being "freeware" may even be seen negatively). After a long time, I think it is worthwhile asking the question again and see what suggestions other users have. Another question

Dear All, A problem almost taken from a textbook: I have two independent samples (which are both assumed to come from a normal distribution). The sample sizes are N1 and N2, the sample means are x1 and x2 and the sample standard deviations are s1 and s2 (the standard deviations are close). I would like to conduct a two sample t-test with equal variances at alpha=0.05 (and then remove the

Hi Ralf, I tried the following > install.packages("RCurl") which went OK, but then same story when I tried to install tseries. > sessionInfo() R version 3.6.1 (2019-07-05) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Debian GNU/Linux 10 (buster) Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.8.0 LAPACK:

Dear All, I am far from being a guru about parallel programming. Most of the time, I rely or randomForest for data mining large datasets. I would like to give a try also to the gradient boosted methods in GBM, but I have a need for parallelization. I normally rely on gbm.fit for speed reasons, and I usually call it this way gbm_model <- gbm.fit(trainRF,prices_train, offset = NULL, misc =

Dear All, Probably a one liner, but I am banging my head against the floor. Consider the following DF <- data.frame( x=1:10, y=10:1, z=rep(5,10), a=11:20 ) mn<-names(DF) but then I cannot retrieve a column by doing e.g, DF$mn[2] I tried to play with the quotes and so on, but so far with no avail. Any suggestion is welcome. Cheers Lorenzo

Dear All, I am getting some data from fluid dynamics simulations (air mixing in a pipe, 2D axial symmetry, geometry described by a radial coordinate r and an axial coordinate z) which I'd like to plot and analyze with R. Think about slicing the cylinder along its axial direction to get a set of cross sections which are orthogonal to the z axis. For each section, I have a set of velocity

Dear All, I would like to be able to plot histograms/densities on a semi-log or log-log scale. I found several suggestions online http://tolstoy.newcastle.edu.au/R/help/05/09/12044.html https://stat.ethz.ch/pipermail/r-help/2002-June/022295.html http://www.harding.edu/fmccown/R/#histograms Now, consider the code snippet taken from http://www.harding.edu/fmccown/R/#histograms # Get a random

Dear All, I am struggling with the following problem: I am given a NxN symmetric matrix P ( P[i,i]=0, i=1...N and P[i,j]>0 for i!=j) which stands for the relative distances of N points. I would like use it to get the coordinates of the N points in a 2D plane. Of course, the solution is not unique (given one solution, I can translate or rotate all the points by the same amount and generate

Apologies for the previous mail (I sent it off too early by mistake). This is the correct example: rm(list=ls()) D_mean<-seq(-5,5,length=100) y<-exp(-D_mean^2/5) pdf("my.pdf") plot(D_mean,y,type="l",yaxt="n",lty=2,lwd=2,col="black", ylab = list(expression(paste(dN/dlogD[agg]," ["*cm^-3*"]"))), xlab = expression(paste(D[agg],"

Dear All, I am given some data to analyze. The data is in the form of a Stata database (.dta file). What is the best way to import it into an R dataframe? Is there any particular caveat I should be aware of? Many thanks Lorenzo

Dear All, I implemented an algorithm for (uniform) random rotations. In order to test it, I can apply it to a unit vector (0,0,1) in Cartesian coordinates. The result is supposed to be a set of random, uniformly distributed, points on a sphere (not the point of the algorithm, but a way to test it). This is what the points look like when I plot them, but other then eyeballing them, can anyone

Dear All, Probably something very easy, but I am looking for the most efficient ways to achieve this. Consider the following snippet y<-c('a','b','c','d','e','f','g') x<-rnorm(length(y)) df<-data.frame(y,x) leading to > df$y [1] a b c d e f g Levels: a b c d e f g Now, I would like to replace levels

Dear All, I would like to use a randomForest algorithm on a dataset. The set is not particularly large/difficult to handle, but it has some missing values (both factors and numerical values). According to what I found https://stat.ethz.ch/pipermail/r-help/2005-September/078880.html https://stat.ethz.ch/pipermail/r-help/2007-January/123117.html the randomForest package has a problem with missing

Dear All, I have never had this problem before. I run debian testing on my box and I have recently update my R environment. Now, see what happens when I try the most trivial of all plots > plot(seq(22)) Error in (function (display = "", width, height, pointsize, gamma, bg, : X11 module cannot be loaded In addition: Warning message: In (function (display = "", width,

Dear All, Consider a matrix (N x N) where each entry is either zero or one (can hardly get any simpler). Now, I would like to plot it as a 'chessboard' where every matrix entry is a black (1) or white (0) square. Whatever tool I use to plot it, it should not try to interpolate the data at all. I found some online references http://www.phaget4.org/R/image_matrix.html but probably I can