similar to: multi-platform equivalent of x11() ?

Greetings. I'm trying to understand a problem on a Dell Laptop. Details below, also uploaded the R working example that I pasted below. http://pj.freefaculty.org/scraps/testSymbols.R > sessionInfo() R version 2.15.1 (2012-06-22) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5]

I'm writing to ask for a policy exception, or advice on how to make this package CRAN allowable. http://rweb.quant.ku.edu/kran/src/contrib/portableParallelSeeds_0.9.tar.gz Yesterday I tried to submit a package on CRAN and Dr Ripley pointed out that I had not understood the instructions about packages. Here's the part where the R check gives a Note * checking R code for possible

Here's my little discussion example for a quadratic regression: http://pj.freefaculty.org/R/WorkingExamples/regression-quadratic-1.R Students press me to know the benefits of poly() over the more obvious regression formulas. I think I understand the theory on why poly() should be more numerically stable, but I'm having trouble writing down an example that proves the benefit of this. I

I'm making some illustrations and it would be convenient to automatically shade the overlapping portions of circles. These illustrations are for Social Choice theory, a field in political science and economics. I've wrestled together some examples so you can see what I mean, but have not mastered the "color overlapping sections" problem (as you will see):

This is a basic Windows system administrator problem, asked by a Linux guy who is helping out in a Windows lab. I want to keep R packages up to date on MS Windows 7 with a job in the "Task Scheduler". I have an R program that I can run (as administrator) that updates the existing packages and then installs all the new ones. I do not understand how to run that in a dependable way in

I'm looking for an R mentor. I want to propose a change in management of plot options xlim and ylim. Did you ever want to change one coordinate in xlim or ylim? It happens to me all the time. x <- rnorm(100, m=5, s=1) y <- rnorm(100, m=6, s=1) plot(x,y) ## Oh, I want the "y axis" to show above x=0. plot(x,y, xlim=c(0, )) ##Output: Error in c(0, ) : argument 2 is empty

Hello R-sig-debian and (hopefully) Dirk: On Debian wheezy, I have the R packaging that CRAN (you) provide. I run into a little trouble while trying to fiddle with alternative BLAS. I know you and I went around on this last year and I think perhaps I've found something wrong in the framework, or I've just done something wrong. I installed the packages openblas-base and openblas-dev, and

I'm aware R-devel no longer includes zlib. This works find on up-to-date Linux systems. On the older Centos 6 cluster at KU, they have zlib tool old for R-devel. The R-devel configure fails thus: checking if zlib version >= 1.2.5... no checking whether zlib support suffices... configure: error: zlib library and headers are required In other software, I've seen this kind of thing, so

Yesterday I uploaded new rockchalk_1.8.97. Then I received email saying that I needed to confirm the submission. Here's the message. Dear Paul E. Johnson Someone has submitted the package rockchalk to CRAN. You are receiving this email to confirm the submission as the maintainer of this package. To confirm the submission to CRAN, follow or copy & paste the following link into your

I'm writing to ask if R Core would make file.exists more Windows tolerant when the argument has a trailing slash. This has been discussed by users a few times here, I know it is not a new topic. But it is not a solved problem, yet. I acknowledge that CRAN packages exist which fix this by replacing file.exists(), but it seems more elegant to me to fix the problem in R itself. R Core goes to

I imitated predict.glm, my thing worked, now I need to revise. It would help me very much if someone would explain predict.glm line 28, which says object$na.action <- NULL # kill this for predict.lm calls I want to know 1) why does it set the object$na.action to NULL 2) what does the comment after mean? Maybe I need a pass by value lesson too, because I can't see how changing that

Hi Here's a warning for you. If you start R today and it can't find any packages in your home directory that it did find yesterday, don't faint. You'll see something like this: > library(data.table) Error in library(data.table) : there is no package called 'data.table' and your user home folder R packages will no longer appear in path: > .libPaths() [1]

I set up a local repo for testing packages. My packages are not showing up from the repository when viewed by Linux clients. I suspect this is a web administrator/firewall issue, but it could be I created the repo wrongly. I am supposed to run write_PACKAGES separately in each R-version folder. Right? Maybe other novices can use these scripts, if they are not wrong :) Here's the file

Dear R-devel friends: I'm back to bother you again about the conflict between mclapply and tcltk. I've been monitoring several packages that want to use mclapply to parallelize computations and need to figure out what should be done. It appears tcltk cannot be safely unloaded, so the best we can do is check for the presence of tcltk and stop if it is found before mclapply() is used. I

I hope you are doing well. For me, this was an unexpected problem. I've hoped for quite a few wrong things today, but I'm only asking you about this one. Why does ifelse(1, list(a, b, c), list(x, y, z)) return a list with only a, not list(a, b, c) as I hoped. I wish it would either cause an error or return the whole list, not just the first thing. Working example: > x <- 1 >

I'm continuing my work on finding speedups in generalized inverse calculations in some simulations. It leads me back to .C and .Call, and some questions I've never been able to answer for myself. It may be I can push some calculations to LAPACK in or C BLAS, that's why I realized again I don't understand the call by reference or value semantics of .Call Why aren't users of

I'm attaching a file foo.Rnw and I'm hoping some of you might run it through your R & latex systems to find out if the double-quotes in typewriter font turn out as black boxes (as they do for me). If you don't use Sweave, but you have a system with a working version of R and LaTeX, the file gives the instructions you need to use to process the file. The The file itself explains

Dear R Devel Some of our R users are still insisting we run R-2.15.3 because of difficulties with a package called OpenMX. It can't cooperate with new R, oh well. Other users need to run R-3.0.1. I'm looking for the most direct route to install both, and allow users to choose at runtime. In the cluster, things run faster if I install RPMs to each node, rather than putting R itself on

Speaking of optimization and speeding up R calculations... I mentioned last week I want to speed up calculation of generalized inverses. On Debian Wheezy with R-2.15.2, I see a huge speedup using a souped up generalized inverse algorithm published by V. N. Katsikis, D. Pappas, Fast computing of theMoore-Penrose inverse matrix, Electronic Journal of Linear Algebra, 17(2008), 637-650. I was so

Greetings to r-help land. I've run into some program crashes and I've traced them back to methods() behavior after the package gdata is loaded. I provide now a minimal re-producible example. This seems bugish to me. How about you? dat <- data.frame(x = rnorm(100), y = rnorm(100)) lm1 <- lm(y ~ x, data = dat) methods(class = "lm") ## OK so far library(gdata)