similar to: prlab

Hello, I want to try the Design and Hmisc library from FE Harrell but, i have trouble with the copyright for the library Hmisc : in the home of the author : http://fharrell.biostat.virginia.edu/s/unix/ in the file Hmisc.README ###COPYRIGHT NOTICE ###You may not port code in the Hmisc library to R. Aie, Why ???? ###You may distribute these functions freely as long as you do so without

I use R Version 0.60 Alpha (September 18, 1997) on a Linux Pentium (Debian 1.3) and on a Sparc-Sun-Solaris 2.5.=20 R> svd(matrix(1:16,4,4)) =09yields on both machines Error: error 4 in dsvdc R> svd(matrix(1:20,4,5)) =09gives a result on the Linux computer $d [1] 0 0 0 NA $u [,1] [,2] [,3] [,4] [1,] 1 0 0 0 [2,] 0 1 0 0 [3,] 0 0 1 0 [4,] 0

On Fri, 14 Nov 1997, Jim Lindsey <jlindsey at luc.ac.be> sent an email to r-devel describing his first shot at porting Design and Hmisc to R. A few days later, his port snapshot of Design was uploaded to CRAN's src/contrib/devel area, and has since been available from there. A few weeks ago, Andreas Weingessel <A.Weingessel at ci.tuwien.ac.at> had a look into porting Hmisc to R

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

I noticed that apply is VERY SLOW when applied to a "large" dimension as for example when computing the row sums of a matrix with thousands of rows. To demonstrate it, I did some benchmarking for different methods of computing the row sums of an nx10 matrix with n =3D 2000, ..., 10000. The first method (M1) I used is the normal apply command: y <- apply(x,1,sum) The second method

I have the following problem. I have some multidimensional data points "x" and a curve "fit" fitted to these points. How can I combine R> pairs(x) and R> pairs(fit,panel=lines) in one plot, so that I can see how good the curve fits the data? A command like R> pairs(x, panel=function(x,y) {points(x,y); lines(lowess(x,y))}) does not work, since I fit the curve in all

At the top of src/nmath/qnorm.c it is stated: * Copyright (C) 1998 Ross Ihaka * Copyright (C) 2000--2005 The R Development Core Team * based on AS 111 (C) 1977 Royal Statistical Society * and on AS 241 (C) 1988 Royal Statistical Society The routine is in fact an f2c'd version of AS241 from StatLib: http://lib.stat.cmu.edu/apstat/241 and http://lib.stat.cmu.edu/apstat/ It

I work with Windows, R version 2.4.1 I'm trying to do a discriminant analysis and, in trying to figure out how to do it following the example from R help, I'm getting an error that says 'subscript out of bounds'. I don't know what this means and how to solve it (I'm very new with R) I'm doing everything in this made-up test matrix: group var1 var2 var3 1 1

### I got bit again by the same bugs I wrote about a year ago. ### The bugs are related to matrices and arrays of lists. ### 1. There is a clear inconsistency in how R handles two ### functionally equivalent statements. ### array() is able to take a list and create a matrix. ### matrix() is unable to create that matrix. > vector("list", 2) [[1]] NULL [[2]] NULL >

This is my first post to this list so I suppose a quick intro is in order. I've been using SPLUS 2000 and R1.6.2 for just a couple of days, and love S already. I'm reading MASS and also John Fox's book - both have been very useful. My background in stat software was mainly SPSS (which I've never much liked - thanks heavens I've found S!), and Perl is my tool of choice for

Hello all R users and developers! In the "Notes on R" I have found the following information: (page 60, 13-th footnote) "... a better solution is to use the fig() driver (available from statlib) and use a conversion program, such as fig2dev, to convert the resultant fig code to Encapsulated Podtscript." I was very glad to read it, because I'm often forced to use

Full_Name: Jussi Mäkinen Version: 1.6.2 OS: Win2000 Submission from: (NULL) (193.210.145.2) I tried to download fracdiff from http://www.stat.unipg.it/stat/statlib/R/CRAN/ but I got the messages box: The procedure entry point daxpy_ could not be located in the dynamic link library R.dll and the following lines to RGui: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable

Dear all, I searched the mail archives and the R site and found no guidance (tried "merge", "cbind" and terms like "coalesce" with no success). There surely is a way to coalesce (like in SQL) columns in a dataframe, right? For example, I would like to go from a dataframe with two columns to one with only one as follows: From Name.x Name.y nx1 ny1 nx2 NA

Hi, I would like to draw 10 uniformly distributed sample points from a circle with redius one and centered at (0,0). Is there any R function to do that?   Thanks, [[alternative HTML version deleted]]

Estimados Tengo un problema, R se cuelga (cierra, aborta, etc.) al usar códigos de neuralnet. Copio un ejemplo cualquiera para preguntar si a otros les pasa lo mismo o es un problema puntual en mi computadora (uso R revolution win 10). # install, load package install.packages(NeuralNetTools) library(NeuralNetTools) # create model library(neuralnet) AND <- c(rep(0, 7), 1) OR <- c(0, rep(1,

In S it is possible to "split" a matrix into its rows, using split(matrix, 1:number_of_rows). This is not possible in R. Example: R: R> split(matrix(rnorm(1:20),4, 5), 1:4) Error in split(x, as.factor(f)) : argument lengths differ S: > split(matrix(rnorm(1:20),4, 5), 1:4) $"1": [1] -0.1804794 0.5269439 0.6248224 -0.3243427 -1.2987407 $"2": [1] 0.9384254

Sirs, may be that a fault exists in the file "postscript" under "r documentation" which contains "Notes on R:A Programming..." at http://www.ci.tuwien.ac.at/R/contents.htm| I did not succeed in reading and printing it. Can You help me? Many thanks in advance. F.Petronio petronio at univ.trieste.it

Dear R-Users and Developpers, Currently R does not include functions to compute the skewness and kurtosis. I programmed it myself in the following way, but probably *real* programmers/statisticians can do that better: mykurtosis <- function(x) { m4 <- mean((x-mean(x))^4) kurt <- m4/(sd(x)^4)-3 kurt } myskewness <- function(x) { m3 <- mean((x-mean(x))^3) skew <-

Colleagues, Thanks for the suggestions concerning reading matlab files into R 1. Regarding documentation for the format of matlab files, please see two manuals that I picked up from the matlab websites. The name of the files are: api_guide.pdf api_ref.pdf Use your web browser to access these files in my FTP directory <ftp://ftp.niwa.cri.nz/incoming/mcclatchie> under the appropriate

My attempt to get R running in Windows 3.11 didn't go very far. I have read the FAQ and install.tex carefully. What am I missing? Here is the step: 1. From statlib I got rexe.zip (and rbeta.zip, but this one seems for windows 95 only?). 2. On unzipping I got 8 files, including rb1.exe, and a sub- dir win32s, which I copied to windows/system. (There is no setup.exe,