similar to: New Package Released: PTAk

Is there such a function (like sas.get for S ...) to be able to convert a SAS dataset (PC one .sd2) to a dataframe or matrix in R? thanks -- Didier G. Leibovici didier at fmrib.ox.ac.uk +44 (0)1865 222 739 Image Analysis Group fax:+44 (0)1865 222 717 Oxford University, Centre For Functional Magnetic Resonance Imaging of the Brain (FMRIB), John Radcliffe Hospital,

Hi, I am using the package PTAK and in particular the command Candpara to perform the Parafac factorizationor of a tensor. The results are not encouraging as I expected, I'm starting a phase of analysis to see if there are errors. I pose a question and I hope you can help me. The command to run the factorization is: ## CANDECOMP/PARAFAC results<- CANDPARA(data_matrix, dim=3)

I have a problem with embedding R into perl. I downloaded the interface program/module from omegahat.org, and I can't seem to understand how to use it. This is all done under Win NT 4.0. If anyone have any clue or any suggestions on how to interface R into perl, I would be greatful. Please email me with comments at racerdude911 at yahoo.com Thanks Scott

Hi guys, I need some help to analyzing my data. I start to describe my data: I have 21 matrices, every matrix on the rows has users and on columns has items, in my case films. Element of index (i, j) represent the rating expressed by user i about item j. I have a matrix for each of professions. An example of a this type of matrix is: item 1 item 2 item 3 item4 id

I wrote some functions for multiway CANDECOMP, i.e. for least squares fitting of a_{i_1\cdots i_m}\approx\sum_{s=1}^p x^1_{i_1s}x^1_{i_1s}\cdots x^m_{i_ms} with arrays of arbitrary dimension. Reminded me of the good old APL days. I could not find this in the archives, but if it's already there, I would appreciate if someone let me know.

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Hello, I would like to perform a generalized singular value decomposition with R. The only possibility I found is "GSVD" that is based on LAPACK/BLAS. Are there other possibilities too? If not, has anybody used LAPACK/BLAS under Windows XP? How can I install them? Following [1] did not help. I hope this is the right place for my question. Thank you very much! Oana Tomescu [1]

Hi, Does anybody know some package or function that computes canonical variates? Luis & Janete -------------------------------------------- sapo.pt/kitadsl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Dear R-users, I couldn't find a function or some help in R-project web about the Generalized Singular Value Decomposition. In MatLab there is a simple function for this algebric issue (gsvd). Is there anything like that in R? And, if not, could you help me to apply this method in R? Thanks in advance, Giancarlo +++++ This mail has been sent through the MPI for Demographic Rese...{{dropped}}

Hi guys, I am updating a package because of data format in data folder. So I just change an extension of a file to .txt ... nothing more. I get this error on the R CMD check ** help *** installing help indices ** building package indices ... Error in read.table(zfile, header = TRUE, as.is = FALSE) : more columns than column names ERREUR : installing package indices failed Note that the R CMD

dear all, in the package pwr , there is the fonction power.anova.test which permit to obtain the power for a one-way ANOVA...but I'm looking for a way to compute the power of a multiway ANOVA.( find the 1-beta). Is it possible? do you have some ideas ? regards [[alternative HTML version deleted]]

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it. logically this function would look like): ORs(multiwaytable) or ORs(data$var1r,data$var2c,data$var3d)

R has amazing capabilities, but percentage tables are a weak spot IMHO. There's prop.table but that's rather unwieldly, especially for multiway tables. CrossTable by Marc Schwartz in the gregmisc library makes percentage tables a breeze but is limited to two-way tables. So I decided to try my own hand at writing an R-function that would make it easy to produce nicely formatted percentage

Hi Is there a maximum length for the character string representing a level of a factor? I have a set of several million variables, each a factor of length 19. Each factor level is a character string which in some cases can be many thousands of characters long. I am trying to find out why my analysis fails - I just wanted to rule out the possibility that the internal factor conversion has a

Hi, Sorry to bother, but I checked around and did not succed creating a bundle from six existing packages (which are checkable, installable, etc. individually). I carefully followed the procedure given in ch. 1.1.5 Package bundles. However, I am getting hoffmann at fluke:~/R/Sources >R CMD check cwhmisc * checking for working latex ... OK * using log directory

Hi, After some reading and experimentation I found that I cannot solve this problem: 1. I am starting R and check: > system("pwd") /home/woodstock/hoffmacw/R/test > system("echo $HOME") /home/woodstock/hoffmacw > system("echo $R_PROFILE") /home/woodstock/hoffmacw/R > system("ls $R_PROFILE/.Rprofile") /home/woodstock/hoffmacw/R/.Rprofile

Is there a method to save a large and complex R object (either as a binary or text file) so that it can be loaded and reused at a later time? Specifically, I am creating large lists (several thousand elements), each element of which is either a vector or a matrix (with ~ 2000 rows). The dimensions of the matrices are not all the same. My ideal would be a set of functions of the form obj

Hi all, You will find in attachment to this mail some benchmarks we made on Linux with pios over ZFS-DMU. There are some interesting things about ZFS tuning and some ideas for breaking a bottleneck we identified in DMU. Thomas LEIBOVICI CEA/DAM - Ile de France -------------- next part -------------- A non-text attachment was scrubbed... Name: ZFS_benchs_Linux.pdf Type: application/pdf Size:

Does anyone know if the survreg function in the survival package can fit numerical covariates ? When I fit a survival model of the form survreg( Surv(time,censored) ~ x ) then x is always treated as a factor even if it is numeric (and even if I try to force it to be numeric using as.numeric(x). Thus, in the particular example I am analysing, a simple numerical covariate becomes a factor

Hi, I am writing a decompiler. I was wondering if some of LLVM could be used for a decompiler. There are several stages in the decompiler process. 1) Take binary and create a higher level representation of it. Like RTL. 2) The output is then broken into blocks or nodes, each block ends in a CALL, JMP, RET, or 2-way or multiway conditional JMP. 3) The blocks or nodes are then analyzed for