similar to: Cran2deb and Ubuntu

Sorry if this has been answered somewhere else (didn't see it), but is cran2deb fully compatible with Ubuntu? Novice question: I use install.packages() within R. The pros of using sudo apt-get instead seem obvious, but are there any cons I should know about? Thanks -- Etienne Lalibert? ================================ School of Forestry University of Canterbury Private Bag 4800

Hi, I am curious what will happen to cran2deb: deb http://debian.cran.r-project.org/cran2deb/debian-amd64 testing/ When Squeeze is released? I really hope this service will continue. It has been great being able to aptitude install R packages. Additionally are these packages signed and is there a key? Chris

Announcing cran2deb: 1700+ Debian packages from almost all of CRAN ------------------------------------------------------------------ Last Friday's presentation at UseR! 2009 was the first really public mention of 'cran2deb'. It provides Debian packages of all of CRAN. It started as Charles' project from last year's Google Summer of Code, was further extended by us over the

Some packages are available in cran2deb and Debian. After adding cran2deb to my sources.list it seems the cran2deb ones are favored because X.Y-ZcranN is "more recent" than X.Y-Z. In the case of r-cran-rmpi the effect of this was to cause aptitude to want to uninstall all my mpi stuff. Apparently the automatically generated package doesn't have mpi as a dependency. I just put a

Hi, I'm using Ubuntu 9.10 amd64 with cran2deb packages (I know it's meant for Debian, it's worked fine for me for many months). Recently apt-get update has to started to complain: ... Hit http://debian.cran.r-project.org testing/ Release Get:1 http://debian.cran.r-project.org testing/ Packages [515kB] Fetched 1B in 3s (0B/s) W: Failed to fetch

What is the relation between the cran2deb repository, http://debian.cran.r-project.org/, and the debian repositories at CRAN, http://cran.r-project.org/bin/linux/debian/? I've studied the pages and this list, but am unsure I've got it right. My understanding is that cran2deb had almost all packages, targets testing, and currently is only supported for i386. It appears the debian repo at

Dear Michael, I was looking up the status of the cran2deb effort and notice that you now have a PPA where new packages are landing and being built for Ubuntu. It looks like this is still a work in progress, but is already a fantastic resource for me and I hope it is something that you can continue to operate. I'm now installing many of these packages but some things I need are missing.

Dear all Recently I noticed that there are name clashes between the packages proposed in the Debian testing repos and cran2deb. For example, Synaptic proposes to upgrade from xtable 1.5-6-1cran1 (cran2deb, up-to-date CRAN version) to 1.5.5-1 (testing, older version). Is there anything that can be done about these clashes? Liviu -- Do you know how to read?

Hi All, just to check, is cran2deb available for Karmic Koala (ideally also for a amd_64)? Cheers, Fede -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com

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 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,