similar to: Installing add-on packages

Hi, Where can I find the source code for nlm()? I dowloaded the R2.8.1.tar.gz file and looked at all the .c and .f files, but couldn't find either nlm.c or nlm.f There is an nlm.r file, but that is not useful. Thanks for any help, Ravi. ---------------------------------------------------------------------------- ------- Ravi Varadhan, Ph.D. Assistant Professor, The Center on Aging

Full_Name: Thomas Langhans Version: 0.65 OS: Solaris 7 Submission from: (NULL) (129.217.131.31) I tried to install the package "leap" on our Sun Enterprise 400 running Solaris 7, but it fails: cause the g77 doesn't compiles the fortran-sources properly, I translated them with f2c to c-source. Running R INSTALL produces the following message: Installing package `leaps' ...

Hi Is there a way to know if a message has been dowloaded via pop3 and not seen via imap ?

Hi, I used the bic.surv function, S-PLUS functions developed by Chris Volinsky http://www.research.att.com/~volinsky/bma.html, without problems with S-PLUS. I have to use it with R but I am face with a problem: this function call a fortran routine named "leaps" (answer <- .Fortran("leaps", arguments)). I loaded the leaps library, and the leaps function work well with my R,

Hello I am trying to use all subsets regression on a test dataset consisting of 11 trails and 46 potential predictor variables. I would like to use Mallow's Cp as a selection criterion. The leaps function would provide the required output but does not work with this many variables (see below). The alternative function regsubsets should be used, but I am not able to define the function in

Hi there, This problem has been dogging me for a bit, and I'm trying to figure out why. When running the the subsets function in the leaps library, R is giving me the following error message > lvodsub <- subsets(pred, resp$LVOD) Warning message: XHAUST returned error code -999 in: leaps.exhaustive(a, really.big = really.big) but this still happens if I add the really.big option:

Hello, I have a question about doing ALL possible subsets regression with a general linear model. My goal is to produce cumulative Akaike weights for each of 7 predictor variables-to obtain this I need R to: 1. Show me ALL possible subsets, not just the best possible subsets 2. Give me an AIC value for each model (instead of a BIC value). I have tried to do this in library(RcmdrPlugin.HH),

Hullo, I am trying to use the leaps package, & keep getting the following error: Error in leaps.setup(x, y, wt = wt, nbest = nbest, nvmax = NCOL(x) + int, : y and x different lengths My data set is attached below. I am rather new to R, & would appreciate any help that could be given. Thanks. http://n4.nabble.com/file/n1755941/lr04.txt lr04.txt -- View this message in context:

Hi, I have found a minor problem with leaps(). In 1.3.1 under Windows 2000 I seem to only be able to obtain values for one statistic at a time. That is choosing method=c("Cp","adjr2","r2") just gives Cp values. To mimic the output of Minitab's MTB > BReg 'Fertility' 'Agriculture'-'Infant.Mortality' ; SUBC> NVars 1 5; SUBC>

Dear all I am supposed to use Mallow's Cp creterion to select a model which require a "leaps" package. the version right now I am using is R 1.7.1(os:windows), the "leaps" package is not included. please let me know how and where can I get this package and add it to the current version, any caution on adding this package is highly appreciated. thank you best

Dear UseRs, I wanted to know that i have been using "leaps" for the proper models selection for my work. I read so many articles from internet which categorically outlined that "leaps" command for model selection should never be used as its not efficient. Moreover, as a matter of fact, i personally noticed that the accuracy of "leaps" package is very much

Dear R-helper, I have one question for creating shared objects (C code) on Unix. Since there is a set of softwares (such as Rtools, Perl, etc.) to be dowloaded for generating shared objects on windows, I am wondering whether I need to install a set of these kind of softwares to generating shared objects on unix. Assume I have a c code called foo.c, I just simly typed R CMD SHLIB foo.c it tells

Hi, I am wondering if it is possible to view the Fortran source code called by R functions. In particular, I am interested in the "leaps.setup" function in a package called "leaps", which calls Fortran functions "ssleaps", "initr" etc. Any help would be greatly appreciated. Ka Yee Yeung Bioinformatics Scientist Dept of Microbiology University of

Hi all, R is so difficult. I am so desperate. What does the ":" mean in the following statement? What does the "[, -1]" mean? > > # Leaps takes a design matrix as argument: throw away the intercept > # column or leaps will complain > > X <- model.matrix(lm(V ~ I + D + W +G:I + P + N, election.table))[,-1] Thanks a lot! [[alternative HTML version

Hi all, R is so difficult. I am so desperate. What does the ":" mean in the following statement? What does the "[, -1]" mean? > > # Leaps takes a design matrix as argument: throw away the intercept > # column or leaps will complain > > X <- model.matrix(lm(V ~ I + D + W +G:I + P + N, election.table))[,-1] Thanks a lot! [[alternative HTML version

Hi Folks, I've got a question concerning the calculation of the Schwarz-Criterion (BIC) done by summary.regsubsets() of the leaps-package: Using regsubsets() to perform subset-selection I receive an regsubsets object that can be summarized by summary.regsubsets(). After this operation the resulting summary contains a vector of BIC-values representing models of size i=1,...,K. My problem

R-packages leaps and subselect implement various methods of selecting best or good subsets of predictor variables for linear regression models, but they do not seem to be applicable to logistic regression models. Does anyone know of software for finding good subsets of predictor variables for linear regression models? Thanks. -Ben p.s., The leaps package references "Subset Selection

I am generating a bunch of examples for my students and when I type R BATCH demo10.R (file demo10.R reproduced below) I get an error: ------------- Error message ------ > plot(mods$size,mods$Cp, + main="Cp versus talla modelos", + xlab=expression(p), + ylab=expression(C[p])) Error in plot.window(xlim, ylim, log, asp, ...) : need finite ylim values In

Hi, there, S+ has a function leaps which can be used for criterion based model selection. Is there an equivalent function in R? thanks in advance. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 (516)632 9344 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi i need to create a model from 250 + variables with high collinearity, and only 17 data points (p = 250, n = 750). I would prefer to use Cp, AIC, and/or BIC to narrow down the number of variables, and then use VIF to choose a model without collinearity (if possible). I realize that having a huge p and small n is going to give me extreme linear dependency problems, but I *think* these model