similar to: Windows Task Scheduler and R updates. Need basic tips

What is the correct format for the shebang line and what options are allowed or necessary along with this? I find plenty of blogs and opinions, but few authoritative answers. I want an R script to run and update packages periodically, with a cron job that launches it. What is necessary to put in line one of the R program. Aside from the basic part #!/usr/bin/Rscript what else can there be, or

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

I want to write an R help example that throws up 2 graphs in separate windows, for comparison. In Linux I plot one, then run x11() to spawn a new on-screen device. Is there some generic equivalent so I can write an example that will work for Windows and Mac users as well? If there is none, don't you think it would be fun if there were? pj -- Paul E. Johnson Professor, Political Science

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]

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):

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

Greetings, R developers Here are my requests today. 1. Would you care to review this vignette http://pj.freefaculty.org/R/Rchaeology.pdf and tell me if you think it is wrong headed, and 2. Supposing you do not think I'm completely wrong, would you care to point me at more examples of R idioms that lead to deep insights into the nature of R programming? Longer more boring explanation: In

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 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

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 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

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

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

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

Greetings R-help! In case anybody has worked on an old Redhat system lately, can you remember what is the cause of this problem? I don't think this is a fatal problem, because I can get around it by uninstalling all of the R RPM packages and re-running the build. But if R is installed, the build fails while byte-compiling as seen below. A *guessed* removing the installed R stuff might make

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)

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