similar to: Random Projection

Hello all, I've put together a quick and dirty menubar + dialogs + spreadsheet GUI for R using the RGtk package. Performance is not great (OOP is a real memory hog?), the design may be worse, but the hope is that it will be useful in an introductory stats course while we await the arrival of a real gui with ObveRsive and SciViews. The package can be found at

Hello all, I've put together a quick and dirty menubar + dialogs + spreadsheet GUI for R using the RGtk package. Performance is not great (OOP is a real memory hog?), the design may be worse, but the hope is that it will be useful in an introductory stats course while we await the arrival of a real gui with ObveRsive and SciViews. The package can be found at

Hi Stefan, Thank you very much for pointing me to the wordspace package. It does the job a bit faster than my C code but is 100 times more convenient. By the way, since the tcrossprod function in the Matrix package is so fast, the Euclidean distance can be computed very fast: euc_dist <- function(m) {mtm <- Matrix::tcrossprod(m); sq <- rowSums(m*m);? sqrt(outer(sq,sq,"+") -

Hi All, I'm working on analyzing a large data set, lets asume that dim(Data)=c(1000,8700). I want to calculate the canberra distance between the columns of this matrix, and using a toy example ('test' is a matrix filled with random numbers 0-1): > system.time(d<-as.matrix(dist(t(test), method = "canberra", diag = FALSE, upper = FALSE, p = 2))) user system

For what it is worth, here are my experiences. When I first got my zaurus I compiled R version 1.4.0 for the it. It took some time to do, but managed with the skiffclusters at familiar.org. (libf2c was the hardest part). Compilation should be easier now that there are onboard compilers but I haven't tried. I thought this would be neat to have in the classroom. (It did get one student to buy

Dear R users, I am using R version 2.0.1 (2004/11/15) on an i386-pc-mingw32 platform. I encounter the following problem while using cumsum: > a <- rep(0.01, 100) > b <- cumsum(a) > sum(a) == 1 [1] TRUE > b[100] == 1 [1] FALSE Am I missing something? Should cumsum have such an outcome? Thanks in advance for any clarifications any of you can offer. Regards, Makram Talih --

Hi all, I just failed in loading a saved wordspace (13MB of size), and received these errors: Warning: stack imbalance in 'missing', 52 then 51 Warning: stack imbalance in 'if', 50 then 53 Warning: stack imbalance in 'as.environment', 57 then 59 Warning: stack imbalance in 'ls', 54 then 53 Warning: stack imbalance in '.Internal', 54 then 53 Warning: stack

I'm use RPostgreSQL to access data on a Postgres server. I would like to keep my SQL statements in external files, as they're easier to write and debug in pgAdmin, then I use readLines to bring them into R and feed to dbGetQuery. Here's the problem. When I create a SQL script with pgAdmin, then load it in R, the ensuing script fails when I feed it to dbGetQuery. When I inspect the

Dear R-users, Is there a preferred method for testing whether a real symmetric matrix is positive definite? [modulo machine rounding errors.] The obvious way of computing eigenvalues via "E <- eigen(A, symmetric=T, only.values=T)$values" and returning the result of "!any(E <= 0)" seems less efficient than going through the LU decomposition invoked in

Hi, Suppose I have the following data name     score Abel        88 Baker      54 Charlie    77 stored a  table called myData. I want to write a function that will create a table which is a subset of myData containing those have a score > 75. I know I can do this with the following command: subset(myData, score > 75) But I would like to do this via a function, something like:

What's the best approach to running latent class analysis with R? I've downloaded both randomLCA and poLCA packages, but I am interesting in running a standard LCA with individual records (not frequency table) as input data. Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________

I'm trying to plot a scatterplot of two variables using pch to plot different characters based on a third factor. Here is my example > data("ToothGrowth") > attach(ToothGrowth) > levels(supp) [1] "OJ" "VC" > plot(len ~ dose,pch=as.numeric(supp)) > legend(locator(1),pch=as.numeric(supp),legend=levels(supp)) The command as.numeric(supp) returns 2 2

Dear r-help, Unfortunately I cannot find in the documentation what determines ranges of a 'box' in the box-and-whisker plot. It is said in "Simple R" (http://www.math.csi.cuny.edu/Statistics/R/simpleR) that they are 1st and 3rd Qus usually. I tried to add to boxplot lines with (quantile(x,probs=0.25)), but lines do not coincide with edges of boxes.

For those who are interested, I've finished release of 0.4 of pmg and have placed it on my website at http://www.math.csi.cuny.edu/Statistics/R/pmg. The pmg package provides some GUI elements using the RGtk package and friends: RGtk, OOP, RGtkExtra, RGtkHTML, RGdkPixbuf, RGtkViewers and REventLoop from www.omegahat.org and gtkDevice from CRAN. (These require a form of UNIX such as linux, OS

I hate to repost this perennial newbie question, but even after browsing the archives and trying various remedies, I'm still stuck. The problem: I've compiled Wine from Wine-20011226 on Mandrake 8.0, and when I try to run an application, I get the following: $ wine mspaint Loading required GL library /usr/X11R6/lib/libGL.so.1.0 fixme:x11drv:OBM_CreateBitmaps Xpm support not in

Dear All I am trying to install iWidgetsRGtk (on a Linux machine), but getting the following error: > install.packages("iWidgetsRGtk",repos="http://www.math.csi.cuny.edu/pmg") Warning in download.packages(unique(pkgs), destdir = tmpd, available = available, : no package 'iWidgetsRGtk' at the repositories > Any ideas? Thanks in advance, Paul

Does anyone have a good method for calculating Jaccard coefficients now that the dissimilarity() function is no longer an option? Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________ Express your personality in color! Preview and select themes for Hotmail®.

Having found the online version of SimpleR, I wanted to to download the respective data: "The data sets for these notes are available from the CSI math department (http://www.math.csi.cuny.edu/Statistics/R/simpleR) and must be installed prior to this." There it says: "The simpleR package is now inside the UsingR package available from CRAN. In the Windows GUI, this may be

Hi Guys, Using the PGLMM function in Picante it is theoretically possible to generate other models (than the 5 flagged ones indicated) by differently structuring the independent variable (Y), dependent variables (X), and covariance matrices (VV). I was wondering anyone could give me some advice (or code) for generating a model that includes the phylogenetic repulsion model (3) with the traits

Dear All, The latest issue of The R Journal is now available at: https://journal.r-project.org/archive/2018-2/ Many thanks to all contributors - especially reviewers and authors. Regards, John Verzani CUNY/College of Staten Island -- John Verzani Department of Mathematics College of Staten Island, CUNY verzani at math.csi.cuny.edu [[alternative HTML version deleted]]