similar to: subset selection for logistic regression

hi all is there a package that undertakes subset selection but BASED ON AIC or any other information criteria. i've seen the "subselect" and the "leaps" package but i have not played around with them yet. thanx

Hi, I have to search in an online db for registered manufacturers of raw materials. Can I use R for the following: I have a list with monograph numbers eg: l <- c(198, 731,355) Now I want to make a dataframe, containing the monograph number and the information listed under COS: Certificate holder, certificate number, Status, Type Is this possible with R? kind regards Bart -- View this

Dear all , Is there any subset regression (subset selection regression) package in R other than "leaps"? Thanks and regards Alex [[alternative HTML version deleted]]

Hello, I would appreciate *any* ideas on this problem. I'm the maintainer of a package ("subselect"), which on CRAN's Daily Package Checks is OK on all flavours of R, except r-devel Linux x86_64, where there is a "memory not mapped" segfault with the very first example that is tried out (output below). Additionally, a user with an AMD64 machine has just reported a

Hi, I downloaded the subselect package from CRAN and installed it in the system wide R library path. During installation the package compiled the fortran sources with no errors. However, when loading the library gives me an error: > library(subselect) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

To understand some functions about spatial point patterns in "spatstat" ,I should know some background about it, and the best way is to read the monograph, and "Statistical Analysis of Spatial Point Patterns" (2nd edt.) is a better choise. But I can not find it anywhere I can. Who can help me? Thank you! ----- unangu at gmail.com -- View this message in context:

Hello, I looked for R packages which focused on order-restricted statistical inference, but I could find only the isoreg() function. I would need to test whether the means in my (repeated measures) data follow a given order, e.g. A<B=C<D. I took a look at the monograph by Barlow et al. (1972) on this topic and found that for my case the null hypothesis is always A=B=C=D. This might be

Hello list, I've been searching around trying to find whether somebody has written such a package of least angle regression on generalized linear models, like what Lasso2 package does. The extension to generalized linear models is briefly discussed in the comment by D. Madigan and G. Ridgeway. Is such a package available? Thanks, Mike [[alternative HTML version deleted]]

Hi, Is there an R implementation of least angle regression for binary response modeling? I know that this question has been asked before, and I am also aware of the "lasso2" package, but that only implements an L1 penalty, i.e. the Lasso approach. Madigan and Ridgeway in their discussion of Efron et al (2004) describe a LARS-type algorithm for generalized linear models. Has

Is there some fast (built-in?) way to get the OR of all the elements in a logical vector? In other words, is there some fast (built-in) version of the function vor below? Thanks. -Ben vor <- function(v) { ans <- v[1] if (length(v) > 1) for (i in 2:length(v)) ans <- ans | v[i] ans }

Trying to install subselect v0.8 on Redhat 7.3 and R 1.8.1 fails (below). Any help is greatly appreciated. Xiao-Jun * Installing *source* package 'subselect' ... ** libs f2c < anneal.f > anneal.c anneal: Error on line 263: Declaration error for fica: adjustable dimension on non-argument Error on line 263: Declaration error for valp: adjustable dimension on non-argument Error

I'm looking for software that makes plots such as fig 4 (a)-(e), fig 5 anf fig 7 of Gray, Robert, "Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis," 1992, J Am Stat Assoc, pp 942-51. In other words, I'm looking for software that takes survival data and a continuous covariate as input and computes a curve giving log hazard

======================================================================= Simple CRAN packages which do not compile without modifications (all others do) ======================================================================= -- akima /usr/bin/ld: multiple definitions of symbol _idlc_ -- fracdiff /usr/bin/ld: multiple definitions of symbol _gammfd_ (and others) -- odesolve --

Hi, In the code below, the labels I put on the x-axis are too high (they cross the axis). Can anyone tell me how to move them down? I've tried adj=, padj=, mar=, and various other things, but cannot move them down. Thanks. -Ben labs <- paste('sample', 1:10) plot(1:10, xaxt='n', xlab='') axis(1, at=1:10, labels=labs, padj=1, las=2) # las is a par() parameter

Hello, As an example, I ran the following code: library("rgl") example(plot3d) rgl.snapshot("test.png") The full plot is visible in the window titled RGL device 1 [Focus], but only a small

Hello, As an example, I ran the following code: library("rgl") example(plot3d) rgl.snapshot("test.png") The full plot is visible in the window titled RGL device 1 [Focus], but only a small

Hello R group, Given a correlation matrix, I would like to obtain the best subset of pairs in the matrix of some size > n such that the mean of r for that subset is a maximum compared to any other possible subset of size > n. I've been looking at the deal and subselect packages but they don't seem to do what I need. Does anyone have any suggestions? Thanks in advance, Ryan

Hi, currently the eager association loading via ":include" does not work when a has-many or habtm association is combined with offset/limit (which is required for paginations). This is because in these cases, the result set will contain more than one row per object, but limit/offset works on row numbers. I''ve developed a patch that makes this work by using 2 SQL statements

Dear, I'm new to both Linux and R. I've to build R from source code and typed in the R-1.5.1 directory ./configure the configuration starts but after a few lines the following error occurs: checking for C compiler default output... configure: error: C compiler cannot create executables what should i do? Kind Regards, Steffen Durinck

Tom, Bingo! I followed the instructions in the link below, which allowed me to install the nvidia driver, which fixed the original problem with rgl.snapshot. Thanks very much for all your help. I guess I'll file a bug in the CentOS Bug Tracker so that the nouveau driver might get fixed. I'll also post to R-help so someone with the same problem who only searches R-help and not this SIG