similar to: enabling core dumps

I have been working on an R package that calls C code using .C(). I recently started including some functions from the GNU Scientific Library in my code. The code runs fine on my machine when not wrapped in the package. But I get the following error from "R CMD check" * checking whether the package can be loaded ... ERROR Loading required package: splancs Loading required package: sp

I am trying to do a classic R -d valgrind --vanilla < mypkg-Ex.R as described in http://cs.swan.ac.uk/~csoliver/ok-sat-library/internet_html/doc/doc/R/2.9.1/doc/manual/R-exts.html#Using-valgrind The problem is valgrind crashes imediately. I am using Ubuntu 10.04 LST (actually Biolinux) on a 64bit Dell Precision laptop with 4 core-i5 Intel processors. I have R-2-15-0 installed from source

Lets say I have two source files file1.c and file2.c The latter just contains sub-routines to be used by the first. i.e. in file1.c I have the line #include "file2.c" Let's say "R CMD SHLIB file1.c" runs perfectly and I want to include the code in a package, "R CMD build" also runs fine but R CMD check" gives * checking whether package

I am experiencing strange results using dmvnorm. I define a scaled distance matrix from the coordinates bellow and then calculate a covariance matrix using a spherical correlation function. Then with certain combinations of range and sill parameters dmvnorm is returning values greater than 1. Surely the results of dmvnorm should be in the interval 0:1 (or do I just nead a holiday?). In addition

Hi I am struggling to fit a non-linear trend using the likfit function in geoR. Specifically I want a sigmoidal function, something like SSfpl in the nls package to fit the trend. But it seems trend.spatial in geoR only works with lm or glm type models. Any ideas how I can specify the model to calculate the kriging parameters using REML, including the parameters of a sigmoidal trend function

Hi I have R 1.6.2 and use WinEdt as a text editor. I have just upgraded to R 1.8.0 but can't set up the SWinRegistry program. Using the recommended "Install packages from local zip files" menu option I get > install.packages("C:/R/SWinRegistry_0.3-2_binary.zip", .libPaths()[1], CRAN = NULL) Error in file(file, "r") : unable to open connection In addition:

Hi I have two geostatistical models from geoR. An ordinary kriging model with AIC=-148.6 and a universal kriging model with AIC=-156.7, there are 345 data points. The improvement shown by the AIC by adding a trend component to the model seems quite small given the number of data points, is there a test to see if the improvement to the model fit is significant? Thanks David

I've been developing a package called foobar for a couple of years now. It has evolved through various versions, but has always contained compiled C code. Recently, R CMD check has started generating the following message [START QUOTE] R CMD check foobar_1.7.5.tar.gz * using log directory ?/home/david/foobar/package/foobar.Rcheck? * using R version 2.15.2 (2012-10-26) * using platform:

Full_Name: David Pleydell Version: 2.2.1 OS: Debian Etch Submission from: (NULL) (193.55.70.206) There appears to be a conflict between the chol functions from the Matrix and the SparseM packages. chol() can only be applied to a matrix of class dspMatrix if SparseM is not in the path. with gratitude David > library(Matrix) > sm <- as(as(Matrix(diag(5) + 1), "dsyMatrix"),

Hi, i'm quite new to dovecot. i built it from the stable-1.0 sources. i have the following error messages in syslog when trying to launch dovecot: dovecot: Dovecot v1.0-stable starting up dovecot: auth(default): Unknown passdb type 'pam' dovecot: Auth process died too early - shutting down dovecot: child 373 (auth) returned error 89 i googled a bit, and found some posts

Hi, I have a trouble trying to use \href in a rd doc. See example below: \references{ \href{http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2702787/}{Vaniscotte A., Pleydell D., Raoul F., Quere J.P., Coeurdassier M., Delattre P., Li T., Qian W., Takahashi K., Weidmann J.C., Qiu J., Giraudoux P. 2009 Modelling and spatial discrimination of small mammal assemblages: an example from western

Hi, i'm using dovecot-1.0-stable. All my mail accounts are virtual accounts that come from pam with the following configuration in auth_default: passdb = pam userdb = static uid=5000 gid=5000 home=/var/mail/vhost/example.com/%n mail=/var/mail/vhost/example.com/%n for a user foo, if the directory /var/mail/vhost/example.com/foo already exists, then all is ok, but if the directory

"R Installation and Administration", section 2.5 "Sub-architectures" describes calling specific builds of R using the call "R --arch=name". I am trying to build and install three versions of R-2.9.1, each configured with a different valgrind-instrumentation level ("Writing R Extensions", section 4.3.2 "Using valgrind"). My goal is to be able to

thanks a lot Renaud. but i was interested in Finney's fiducial confidence intervals of LD50 so to obtain comparable results with SPSS. But your reply leads me to the next question: does anybody know what is the best method (asymptotic, bootstrap etc.) for calculating confidence intervals of LD50? i could "get rid" of Finney's fiducial confidence intervals but

Dear all, I am trying to avoid the warnings produced by: > x <- -2:2 > log(x) [1] NaN NaN -Inf 0.0000000 0.6931472 Warning message: production de NaN in: log(x) I thought that using ifelse would be a solution, but it is not the case: > ifelse(test = x < 0, yes = NaN, no = log(x)) [1] NaN NaN -Inf 0.0000000 0.6931472 Warning message: production

Dear R-Users, I have a data frame with several categorical variables. I want to create a new data frame with dummy variables (with all levels). I know the function model.matrix (see below) but it works only for one categorical variable : > tt <- c("a","a","b","a","c") > tt <- factor(tt) > model.matrix(~ tt - 1) is there anyone who

Dear Listers, I got this message when compiling a package: * creating pgirmess-manual.tex ... OK * checking pgirmess-manual.text ... ERROR LaTex errors when creating DVI version. This typically indicates Rd problems. The message is quite explicit but I struggled a lot before understanding that the trouble comes from a single file "selMod.rd" among 44 topics. Even though I have

This is an inquiry for all those who have been working on external data base applications. I sent an inquiry (below) to snews about this sort of thing a couple of years ago and eventually decided that I would wait to see what external database developments occurred and then revisit the problem. I hope that foundations are now better. Suppose for the sake of concreteness you have a large

Hi list, is there any direct way to obtain confidence intervals for the regression slope from lm, predict.lm or the like? (If not, is there any reason? This is also missing in some other statistics softwares, and I thought this would be quite a standard application.) I know that it's easy to implement but it's for explanation to people who faint if they have to do their own programming...

hello I make a subroutine that give-me a (mathematical) function in string format. I would like transform this string into function ( R function ). thanks for any tips. cleber #e.g. fun_String = "-100*x1 + 0*x2 + 100*x3" fun <- function(x1,x2,x3){ return( ############ evaluation( fun_String ) ############ ) True String mathematical function :-( :-( > nomes [1]