similar to: memory usage benefit from "anonymous" variable constructions.

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 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

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

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 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 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]

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

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

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

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

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

Hello, everybody. I recognize I'm asking you to deal with a not-very-important problem. But its important to me :) I've noticed a little inconsistency in the print.function() output. I traced the matter to deparse.c, for which I attach a patch that addresses 3 separate things. There's one important thing that I'm willing to stand behind and 2 litter things that I think would be

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

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 >

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

Dear R-devel: I could use some advice about matrix calculations and steps that might make for faster computation of generalized inverses. It appears in some projects there is a bottleneck at the use of svd in calculation of generalized inverses. Here's some Rprof output I need to understand. > summaryRprof("Amelia.out") $by.self self.time self.pct

I would appreciate ideas about MS Windows install issues. I'm at our stats summer camp and have been looking at a lot of Windows R installs and there are some wrinkles about R_LIBS_USER. On a clean Win7 or Win8 system, with R-3.0.1, we see the user library for packages defaulting to $HOME/R/win-library. I think that's awesome, the way it should be. Yea! But it does not appear that way

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

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