similar to: a problem loading package 'subselect'

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"

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

Version 0.9-99 of package "subselect" is now on CRAN. The subselect package has functions that search for k-variable subsets of a p-variable (p>k) data set that are optimal under some criterion. Search algorithms include a full search algorithm "leaps", based on Furnival and Wilson's leaps and bounds algorithm, and three random search algorithms: a genetic algorithm

Version 0.9-99 of package "subselect" is now on CRAN. The subselect package has functions that search for k-variable subsets of a p-variable (p>k) data set that are optimal under some criterion. Search algorithms include a full search algorithm "leaps", based on Furnival and Wilson's leaps and bounds algorithm, and three random search algorithms: a genetic algorithm

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

======================================================================= 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 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 the following type of data: 86 subjects in three independent groups (high power vs low power vs control). Each subject solves 8 reasoning problems of two kinds: conflict problems and noconflict problems. I measure accuracy in solving the reasoning problems. To summarize: binary response, 1 within subject var (TYPE), 1 between subject var (POWER). I wanted to fit the following model:

Hello, I'm getting some error messages from R CMD check I can't deal with. I'm working under Linux with R 1.8.1 The package working directory can be found at: http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/distr.tar.gz Here's the 00check.log produced by R CMD check distr * using log directory '/home/tom/studium/R/swp/swp/package/distr.Rcheck' * checking

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,

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

hi! I tried to build a very simple package with NAMESPACE file, such that datasets are loaded only dynamically. > a2 <- function(x=a1) x+4 > a1 <- 1:10 > package.skeleton("aaa", list=c("a1", "a2")) Then I modified the help files and added the file NAMESPACE with these 2 lines: useDynLib(aaa) export(a1, a2) Then "R CMD BUILD aaa" works

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

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and

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, 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