similar to: Problem with X11

I don't have my debian box available so can't confirm. But I would try $apt-get install libpng On Tue, Apr 19, 2016 at 11:23 AM, Lorenzo Isella <lorenzo.isella at gmail.com> wrote: > 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

Dear Lorenzo, Dear R list,[a] to all recipients: sorry, this email is html-against my own believes and because of inevitable constraints so far.[b] to Lorenzo: "...and I have recently update my R environment" sounds as that would be a gift of heaven! How did you manage to update and how exactly went the process of updating the whole R environment, as you put it? I turn to you since I

Dear All, I have just upgraded to Debian stable 10 and rebuilt most of the R packages. I use the R backported packages from here https://cran.r-project.org/bin/linux/debian/#debian-buster-testing for the core system. I encounter some issues when updating quantmod, tseries and forecast. For instance, see the following > install.packages("tseries") which finally fails with the

Dear All, I have just upgraded to Debian stable 10 and rebuilt most of the R packages. I use the R backported packages from here https://cran.r-project.org/bin/linux/debian/#debian-buster-testing for the core system. I encounter some issues when updating quantmod, tseries and forecast. For instance, see the following > install.packages("tseries") which finally fails with the

Hi Lorenzo, On Sun, Jul 7, 2019 at 6:42 AM Lorenzo Isella <lorenzo.isella at gmail.com> wrote: > > Dear All, > I have just upgraded to Debian stable 10 and rebuilt most of the R > packages. > I use the R backported packages from here > > https://cran.r-project.org/bin/linux/debian/#debian-buster-testing > > for the core system. > I encounter some issues when

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:

Hi, we are using R installed on several linux computer - mostly debian lenny and also ubuntu, all 64 bit. Approx.two week ago, I started getting the following error when I tried to plot(). Error in X11() : X11 module cannot be loaded In addition: Warning message: In X11() : unable to load shared library '/usr/lib64/R/modules//R_X11.so': /usr/lib/libcairo.so.2: symbol

Dear all, I am puzzled by the following behavior of the new grid.cap() function, which appears to run out of time when capturing the output of a graphic. It works fine if I introduce a Sys.sleep(1) before executing more code, library(grid) quartz() grid.circle(gp=gpar(fill="black")) gg <- grid.cap() dev.new() grid.raster(gg) ## completely blank gg[gg!="white"] ## indeed

Dear all, can you reproduce (on testing or unstable, especially) this 2 line error which inhibits interactive graphics (to me, tested on 2 debian testing boxes). l at m740n:~$ R --vanilla > example(hist) hist> op <- par(mfrow = c(2, 2)) Error in (function (display = "", width, height, pointsize, gamma, bg, : il modulo X11 non pu? essere caricato Inoltre: Warning message:

Hello I am trying to install the R RPM for Suse 10.0 on an x86_64 PC. However I am failing a dependency for "libpng12.so.0" straight away PC5-140:/home/rmgzshd # rpm -i R-base-2.5.0-2.1.x86_64.rpm error: Failed dependencies: libpng12.so.0(PNG12_0)(64bit) is needed by R-base-2.5.0-2.1.x86_64 I do seem to have this file PC5-140:/home/rmgzshd # whereis libpng12.so.0

I get this with R 2.7.2 (and 2.7.1, and 2.6.2, but NOT 2.4.0): > X11() # this one opens up okay > X11("foo") Error: Couldn't find per display information $ and R crashes out back to my shell prompt. If I do X11("foo") as a first command I get a meaningful error and my R prompt back: > X11("foo") Error in X11(d$display, d$width, d$height,

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