similar to: Adding RcppFrame to RcppResultSet causes segmentation fault

New Rcpp versions 0.6.0 and 0.6.1 --------------------------------- The Rcpp package provides C++ classes that greatly facilitate interfacing C or C++ code in R packages using the .Call() interface provided by R. Rcpp provides matching C++ classes for a large number of basic R data types. Hence, a package author can keep his data in normal R data structure without having to worry about

New Rcpp versions 0.6.0 and 0.6.1 --------------------------------- The Rcpp package provides C++ classes that greatly facilitate interfacing C or C++ code in R packages using the .Call() interface provided by R. Rcpp provides matching C++ classes for a large number of basic R data types. Hence, a package author can keep his data in normal R data structure without having to worry about

Hello, I have been looking for functions for calculating the within-groups variance and between-groups variance, for the case where you have several numerical variables describing samples from a number of groups. I didn't find such functions in R, so wrote my own versions myself (see below). I can calculate the within- and between-groups variance for the Sepal.length variable (iris[1]) in

On Mon, 9 Dec 2002, Martin Pool <mbp@samba.org> wrote: > >Mailman holds some suspicious messages for filtering by the admin. >However, for samba.org, this means about 80 messages per week, which >have to be handled through a clunky web interface, and which take time >away from more useful tasks. This is not acceptable. Pah! :) Try 100+ messages per day, with 200+ at the

I suppose everybody who makes a package for the first time thinks "I can change anything!" and then runs into this same question. Has anybody written out information on how a package can override functions in R base in the R 2.14 (mandatory NAMESPACE era)? Suppose I want to alphabetize variables in a summary.data.frame, or return the standard deviation with the mean in summary output.

Hi, I am a newbie to Rcpp packages, and got problems in having basic set-ups for Rcpp under windows xp. Here is the list I have done. 1) installed Rtools and have no problem in compiling .c file. 2) installed Rcpp packages 3) set enviroment variables 'path' to make C:\Program Files\R\R-2.12.0\library\Rcpp\include\ searchable The sample C++ code I used is from the original website:

Good day. I have setup of a text field with auto complete and I need to grab the value from that text field and pass it into a method to update a row in a table. Here is the view: <tr> <td align="center" colspan="6"><%= text_field_with_auto_complete( :product, :product_code ) %></td> </tr> <tr> <td

Hi, How I could improve this graphic? http://www.divshare.com/download/10754700-f81 I would like to write groups labels in each panel and override the labels from object. I am try this code: xyplot(percentagem.mortos~tempo|trat, data=bio.ens, type="a", ? ? ? auto.key=list(points=FALSE, lines=TRUE, columns=3), ? ? ? ylim=c(0,100),scales = list(x = list(at = c(48, 72, 96), labels ? ?

Hi, Im not sure if this is the right place to post this. I am using Xubuntu Karmic Koala and am trying to use the Rcpp package. I am testing it using a simple code that takes in a vector and adds 1 to each element: #include <Rcpp.h> // This file takes in a vector and adds one to each entry RcppExport SEXP addone(SEXP vec){ // create a local copy of vec Rcpp::NumericVector

I wrote something to check for duplicate rows in a data frame, but it is too inefficient. Is there a way to do this without the nested loops? This code correctly indicates rows 1-7, 1-8, 2-9 and 7-8 are duplicates. > m <- matrix(c(1,1,1,1,1, 2,2,2,2,2, 6,6,6,6,6, 3,3,3,3,3, 4,4,4,4,4, 5,5,5,5,5, 1,1,1,1,1, 1,1,1,1,1, 2,2,2,2,2, 7,7,7,7,7), ncol=5, byrow=TRUE) > df <- data.frame(m)

Dear all, We are trying to clean multiple realizations of a pattern. Erroneous NODATA and spurious DATA occur in the realizations. As we have to do a 1000 realizations for many patterns, efficiency of the code is important. We need to correct the realizations with a 'mask' pattern of DATA/NODATA. We think an ifelse should do the job. Spurious DATA will be simply removed using the

Howdy Folks, I am running R version 2.7.2 (2008-08-25) on CentOS 5.2 - the standard RPM distribution. I am having a curious occurance trying to run a R script from within a shell script. Basically, I have a small R script that processes a file. It takes two parameters - the input file, and the output file. I then have a shell script that runs the R script for each file matching a glob. R

Hi, I?m new to R but I?m interested in using the fdim package to find the fractal dimension of a dataset. I downloaded the the package from https://cran.r-project.org/src/contrib/Archive/fdim/ and successfully installed it together with xgobi. However, when I try to run the first example, after df <- fdim(mydata,q=0,Alpha=0.3) I get the following error: Error in .C("pointdif",

Hm, I am not an expert in this field but trying to use obviously old package which was removed about 5 years ago from CRAN is asking for problems. There is probably some incompatibility between recent R version and obsolete package. You either 1. need to install/compile R version from 2012 and install/compile this old package for this version. 2. Or you could try to find some similar

Hi, I'm fitting mixed effects models using the lme function of the nlme package. This involves using the various associated plot functions. However, when I attempt to fit a number of models using an loop, whilst the models work, the plot functions fail. As a trivial example, the following works: library(nlme) graphics.off() x<-c(1:10) y<-c(1:4,7:12)