similar to: New version of Subselect package

A new version (0.7.1) of package 'subselect' has been uploaded to CRAN. Package 'subselect' provides functions which assess the quality of variable subsets as surrogates for a full data set, in an exploratory data analysis, and search for subsets which are optimal under various criteria. As of version 0.7 a new function 'leaps' has been added. 'Leaps' performs a

A new version (0.7.1) of package 'subselect' has been uploaded to CRAN. Package 'subselect' provides functions which assess the quality of variable subsets as surrogates for a full data set, in an exploratory data analysis, and search for subsets which are optimal under various criteria. As of version 0.7 a new function 'leaps' has been added. 'Leaps' performs a

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

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

hello I confused one point in matrix constructed with cbind I want to subselect 6. column > 1000 what should the syntax be ? regards -- Ahmet Temiz Jeoloji M?h. Afet ??leri Genel M?d?rl??? Deprem Ara?t?rma Dairesi Tel: (312) 287 89 51 veya (312) 287 26 80/1547 Faks: (312) 287 89 51 E. Posta: temiz at deprem.gov.tr www.deprem.gov.tr Ahmet Temiz Geological Eng. General Directorate of

list subselect by name ? ------------------------- I have this 'list of two elements of named elements.' > list(letters=letters, LETTERS=LETTERS)[c("letters","LETTERS")] $letters [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m"

I'm using eleaps to build a forward selection algorithm iteratively, but the program unexpectedly crashes. In fact, it completely closes my session in RStudio. The first 39 steps work fine, but on the 40th step, it unexpectedly stops with no errors. I've isolated the error to the code snippit below. There are 39 predictors, and I'm searching for the 40th best. I've passed in a

======================================================================= 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 --

Good morning, I am using R to try to model the proportion of burned area in Portugal. The dependent variable is the proportion. The family used is binomial and the epsilon would be binary. I am not able to find the package to be used when the proportion (%) has to be used in glm. Could someone help me? I am using normal commands of glm.. for example: glm_5<- glm(formula=p~Precipitation,

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

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

Dear R-help members, Apologies for the trouble. I have a question : Essentially, I have a dataset which stores genetic variations for individual patients. Each individual patient can have more than one variation, and each new record corresponds to a new variation (thus, both individual patients and variations are non-unique). So the dataset looks something like this ((letters = patients,

Hi, I've run into a bit of a problem with using the RMySQL library. I've been attempting to create a temporary table in a MySQL database and then perform a SELECT with a WHEREs clause on the table. In effect perform a SELECT with a subSELECT. The problem is that it never seems to be able to find the table after I create it. I've been using the dbSendQuery method to create the table

Hello All, The basic premise of what I want to do is the following: I have 20 "entities" for which I have ~500 measurements each. So, I have a matrix of 20 rows by ~500 columns. The 20 entities fall into two classes: "good" and "bad." I eventually would like to derive a model that would then be able to classify new entities as being in "good

Hello, I am working on a variable selection problem and I wonder whether there is some function or package in R works similar to the 'PROC REG' in SAS? Thank you. Some facts about 'PROC REG': PROC REG in SAS first composes a crossproducts matrix. The matrix can be calculated from input data, reformed from an input correlation matrix, or read in from an SSCP data set. For each

Hi, we have some code that does variable selection with a genetic algorithm or simulated annealing, using a linear regression routine or neural network as the objective function. This code is a mixture of fortran and C. The code is more than 15 years old and I am planning to rework it. Though a C rewrite would be good for efficiency, I would like to protoype it quickly in R and see how it

Those of you who monitor the daily package checks will know that some packages generate ERROR reports spasmodically. This is normally due to segfaults, and in almost all cases has been traced (eventually) to memory access errors using the tool valgrind (http://valgrind.kde.org). Current examples include RCurl, RandomFields, geoR, kza and pcurve. This week I have run all the examples in all

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, during today I build R 1.5.0-packages on a SuSE 7.3 they normaly should also run on a 7.2 and 8.0. I also compiled the contribute packages It The following packages failed, cause I believe I haven't installed all neccessary includes and libaries: checking for package ipred ...failed! checking for package cramer ...failed! checking for

Dear colleagues, Please point me out to a variable selection approach or package in the R environment. I am particularly interesting in evolutionary/genetic algorithms for optimization of PLS and SVM models. --- My knowledge is limited by the follows packages: Package "Subselect" does not seem to be valid, because it handles with the correlation/covariance matrix only. Therefore, is