similar to: setdiff for data frames

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

I think I am using the improved version of setdiff(...) that handles data.frames, so I think some odd behavior was expected but this one is escaping me. It appears that the the addition of duplicate entries is not caught by the setdiff(...). Is this expected behavior? If so, is there another method or approach that should be used to identify duplicate row entries between two different data

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 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

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 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

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

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-Devel, I have had it in my mind for some time now that a Task View related to R and education might be a good thing. There are currently 19 Task Views, covering a broad spectrum of general topics for which R may be used. The homepage lists 64 books related to R, and several of them have accompanying packages on CRAN. There is a wiki and a host of contributed documentation. We also have a

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 all I am writing an Sweave document and have encountered formatting issues with the "locale" part of toLatex(sessionInfo()). The fact that there is no spaces between the various "locale" variables means that LaTeX cannot easily find an appropriate place to break the lines, and some will get printed off screen. Below is the text output, and this .pdf document [1] shows the

Hello everybody :-) I have some data that I want to model with a logistic regression, most of the independent variables are numeric and the only dependent is categorical, I was thinking that I could apply a logistic regression using glm but I wanted to deepen my knowledge of this so I tried to do some reading and found the "iris" dataset, now I would like to ask two things, first

HI, i'm really new of R and i need some help. I have to describe some distributions for some dices throw: - launching 3 dices i need the distribution of the sum of the two higher values - launching 4 dices i need the distribution of the occurrences of the same value possibly i need a way to compare the two distribution adding the fourth dice to the first without summing it (only for

Dear R users, ?rgamma gives me : rgamma(n, shape, rate = 1, scale = 1/rate) rate: an alternative way to specify the scale. The Gamma distribution with parameters ‘shape’ = a and ‘scale’ = s has density f(x)= 1/(s^a Gamma(a)) x^(a-1) e^-(x/s) Should I understand that scale=1/rate ? Is it written somewhere ? Then

Hi, I fail to find "choose.dir()" in my current R install (see below)? Didn't that exist at some point? How to achieve "file.choose()" equivalent functionality for directories? Thanks for any hints, Joh > sessionInfo() R version 2.11.1 (2010-05-31) x86_64-pc-linux-gnu locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3]

HI Every one Could some one provide me definitions of following bivariate distributions gamma, exponencial, Weibull, half-normal , Rayleigh, Erlang,chi-square thanks A.S. Qureshi

Full_Name: Obnoxious Version: 2.7.0 OS: Windows Submission from: (NULL) (121.223.77.238) Objective: Generate all permutations of the elements of x taken m at a time. Library: prob Function: permsn Issue: Does not appear to be working correctly when x==m. Example: libary(prob) permsn(2,1) i.e., x > m #Gives the correct result of [,1] [,2] [1,] 1 2 #Yet permsn(2,2) i.e., x==m