similar to: education task view

Dear useRs, We are pleased to announce the preliminary release of the IPSUR package. The primary audience was originally envisioned to be upper division undergraduate mathematics/statistics/engineering majors, but other useRs may find this material useful. In a nutshell, this package slightly modifies and adds selected functionality to the R Commander by John Fox. The changes were meant to

Dear useRs, We are pleased to announce the preliminary release of the IPSUR package. The primary audience was originally envisioned to be upper division undergraduate mathematics/statistics/engineering majors, but other useRs may find this material useful. In a nutshell, this package slightly modifies and adds selected functionality to the R Commander by John Fox. The changes were meant to

Dear R Community, I am pleased to announce the beta-release of the prob package. The source code is now on CRAN, and binaries should be generated there before long. In the meantime, you can get it with install.packages("prob", repos = "http://r-forge.r-project.org") The prob package gives a framework for doing elementary probability on finite sample spaces in R. The

Dear R Community, I am pleased to announce the beta-release of the prob package. The source code is now on CRAN, and binaries should be generated there before long. In the meantime, you can get it with install.packages("prob", repos = "http://r-forge.r-project.org") The prob package gives a framework for doing elementary probability on finite sample spaces in R. The

Hello, I have been interested in setdiff() for data frames that operates row-wise. I looked in the documentation, mailing lists, etc., and didn't find exactly the right thing. Given data frames A, B with the same columns, the goal is to extract the rows that are in A, but not in B. Of course, one can usually do setdiff(rownames(A), rownames(B)) but that is cheating. :-) I played around a

Thanks to Jay Kerns and Jim Lemon for their help. It's exactly what I wanted and "aggregate" is very efficient even with a huge data. Thanks "G. Jay Kerns" <gkerns@ysu.edu> a écrit : Hi Louis, If I am understanding your question correctly, here is one way: suppose your matrix is M of dimension n x k. D <- data.frame(M) # convert to data frame ones <- rep(1,

Dear R-help, Suppose I write a script that looks something like this: #### script.R set.seed(something) x <- rnorm(100) y <- runif(500) # bunch of other stuff save.image() ### end of script.R Now, I give you a copy of my script.R (with the set.seed statement removed, of course) together with the .RData file that was generated by the save.image() command. Question: 1) can you tell

Hello, This is in response to a post from a couple of years back regarding Kaiser-Meyer-Olkin Measures of Sampling Adequacy. (http://tolstoy.newcastle.edu.au/R/help/05/12/17233.html) As it turns out, last year Trujillo-Ortiz et al. at the Universidad Autonoma de Baja California wrote and posted a script for MATLAB that does the job. You can see it (with a discussion of KMO statistics) at

Dear R-SIG-Debian, > > a) You still haven't explained why you need to rebuild it when > ? ? ? sudo apt-get install r-cran-rgl > ? gets you a binary I do not want to answer for the OP, but for myself, two things: 1) I maintain a personal library in my HOME folder - for a few reasons - and one of the benefits is that I can install/update R packages without needing to run R as

Dear R-devel, Please see the recent thread on R-help, "Odd Behavior Out of setdiff(...) - addition of duplicate entries is not identified" posted by Jason Rupert. I gave an answer, then read David Winsemius' answer, and then did some follow-up investigation. I would like to change my answer. My current version of setdiff() is acting in a way that I do not understand, and a way

Dear R-devel, Please see the recent thread on R-help, "Odd Behavior Out of setdiff(...) - addition of duplicate entries is not identified" posted by Jason Rupert. I gave an answer, then read David Winsemius' answer, and then did some follow-up investigation. I would like to change my answer. My current version of setdiff() is acting in a way that I do not understand, and a way

Dear R-help, I first thought that the empty set (for a vector) would be NULL. x <- c() x However, the documentation seems to make clear that there _many_ empty sets depending on the vector's mode, namely, numeric(0), character(0), logical(0), etc. This is borne out by y <- letters[1:3] z <- letters[4:6] intersect(y,z) which, of course, is non-NULL: is.null(character(0)) #

Dear All, The latest version of IPSUR (last one for awhile) is now available on CRAN. What's New in 0.1-1: 1. Important bug fixes 2. Test of equality for several proportions... 3. Enter table for single proportion test... 4. Enter table for multiple proportions test... 5. Bar graph plot by groups (stacked and side-by side) 6. Enter table for bar graphs... Visit the IPSUR website for the

Hello, I am just beginning to use R, after several years of using S-Plus (with mixed success). I saw a recommendation on another mailing list for the Environmetrics and Spatial Task Views, as a good way for a new user to get started actually using R. The Task Views page at CRAN says: "To automatically install these views, the ctv package needs to be installed, e.g., via

CRAN task views are useful, but they seem difficult to write and maintain because the XML format is rather limited (no sectioning) and the <packagelist> must be maintained manually. They are also difficult to read because the generated html and .css used are extremely basic, giving an overly dense page. Are there any markdown-like tools for writing a CTV? Is it possible to apply a

Dear R-users, After upgrading to the recent version of R, I'm having a problem updating task views: > sessionInfo() R version 2.13.0 (2011-04-13) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] datasets utils stats graphics grDevices methods base other attached packages: [1]

Dear developeRs, in the last month I mentioned in several discussions on R-help that Kurt and I were working on tools for "CRAN Task Views" which should help to structure the fast-growing list of packages on CRAN. Now the first version of a package called ctv (for CRAN Task Views) is available from CRAN and also two frist drafts for such views can be seen at

IPSUR-1.0 is making its way through CRAN. It is a snapshot of the development version of the following textbook: Title: Introduction to Probability and Statistics using R, First Edition ISBN: 978-0-557-24979-4 Publisher: me The book is targeted for an undergraduate course in probability and statistics. The prerequisites are a couple semesters of calculus and a little bit of linear algebra. I

IPSUR-1.0 is making its way through CRAN. It is a snapshot of the development version of the following textbook: Title: Introduction to Probability and Statistics using R, First Edition ISBN: 978-0-557-24979-4 Publisher: me The book is targeted for an undergraduate course in probability and statistics. The prerequisites are a couple semesters of calculus and a little bit of linear algebra. I

Hi all, Sorry if this doesn't end up in the thread. Tobias Verbeke forwarded that e-mail to me, because he thought I would be interested in maintaining the Programming Tools CTV. I wasn't subscribed to R-devel yet, but I would indeed like to volunteer to maintain the Programming Tools CTV. It will be my first time creating a CTV, so some guidance on getting it setup will be appreciated.