similar to: How to overload the assignment operator?

Dear all, For my package "ref" I have implemented extensive regression testing. It now fails to compile since primitives "dim" and "dimnames" (and their assignment methods) no longer allow for additional arguments. I was using an additional argument "ref" with several methods. For "].refdata" it still works, with "dim.refdata" no longer.

Full_Name: Jens Oehlschl?gel Version: 2.9.2 OS: Win32 Submission from: (NULL) (85.181.152.156) # Obviously an empty basename is allowed (if the filepath is a pure path) > basename("/") [1] "" # but here we get the dot from the path > basename("./") [1] "." > version _ platform i386-pc-mingw32

Dear all, I have defined a generic as.ff(x, ...) and a method as.ff.function(x, ...) which converts a standard R function x into a chunked version operating on large ff objects. Everything works fine, but when registering S3method("as.ff",function) in NAMESPACE, the installation fails with some kind of parsing error: adding build stamp to DESCRIPTION installing NAMESPACE file

Hi all, I'm getting the following error from substring: > substr("<I>Jens Oehlschl\xe4gel-Akiyoshi", 1, 100) Error in substr("<I>Jens Oehlschl\xe4gel-Akiyoshi", 1, 100) : invalid multibyte string at '<e4>gel-A<6b>iyoshi' Is that normal / intended? I've tried setting the Encoding/locale to Latin-1/UTF-8 but that does not help. nchar

Especially for large ff objects. Xiaobo.Gu [[alternative HTML version deleted]]

Hi, I am using version 2.1-1 of the ff package. I have a data set with 80 million rows and I need to create a new ffdf object, subseting by values in one of the original ffdf's columns. Here is my code: bigData <- read.table.ffdf(file="/data/demodata/data/smallData.txt", next.rows=1e5, head=TRUE, sep="|") dim(bigData) N <- nrow(bigData);N select <- ff(

Hello everyone, I need to create and work with some big matrices that actually have somewhat over 2 million columns and 117 rows. To do some calculations on such big matrices R just needs too much memory for my PC (4GB installed). So I need a solution to work with large datasets. I'm trying to use the ff-package but I don't think I really understand the whole functionality of the

Thanks for the quick response Ivan. readLines with encoding='latin1' works for me (on Ubuntu). However I was more concerned with the inconsistency in results between substr and regexpr. I was expecting that if one of them errors because of an unknown encoding then the other should as well. Even better, if regexpr works, why shouldn't substr work as well? Incidentally the analogous

Hi, I have two questions on using the ff package and wonder if anyone who used ff can share some thoughts. I need to save a matrix as a memory-mapped file and load it back later. To save the matrix, I use mat = matrix(1:20, 4, 5) matFF = ff(mat, dim=dim(mat), filename="~/a.mat", overwrite=TRUE, dimnames = dimnames(mat)) To load it back, I use matFF2 = ff(vmode = "double",

Dear all, Will R run under Win2000 or is it safer to stay with NT4.0 for a while? Regards -- Dr. Jens Oehlschl?gel Analyse BBDO InterOne Gr?nstr. 15 40212 D?sseldorf Tel.: +49 (0)211 1379-187 Fax.: +49 (0)211 1379-461 http://www.bbdo-interone.de -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I need to write out with write.table() a csv file allowing for line feeds (pure chr(10)) as part of character field (not as a line seperator). How can I do that? Best regards Jens Oehlschl?gel --

# A couple of years ago # I helped making R's character NA handling more consistent # Today I report an issue with R's factor NA handling # The core problem is that # levels(g) <- levels(g) # can change the levels of g # more details below # Kind regards # Jens Oehlschl?gel # Say I have an NA element in a vector or list x <- c("a","b",NA) # then using split()

Can someone point me to literature and/or R software to solve the following problem: Assume n true scores t measured as x with uncorrelated errors e , i.e. x = t + e and assume each true score to a have a certain amount of correlation with some of the other true scores. The correlation matrix cx of x will have its off-diagonal entries reduced by measurement error compared to the true

In Germany the Unemployment Agency uses a sectioning of the german map that is different from the usual Administrative Boundaries. Some demographic data are available in Administrative Boundaries only, some in Unemployment Boundaries only. I would like to generate estimates in one boundary system of data availabe in the other boundary system, and would appreciate advice concerning the following

Dear all, Has someone implemented in R (or any other language) Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61. or any other similar algorithm? Best regards Jens Oehlschl?gel Background: I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded Highham 2002

Dear R-experts, I just tracked down a nasty bug in a dynamically parametrized function to wrong argument matching. As we get more and more complex applications build on top of R (like bioconductor) partial matching gets more and more dangerous. I would like to deactivate partial matching in R (partial argument matching as well as partial matching of list elements), e.g. using an environment

Dear R-experts, I just tracked down a nasty bug in a dynamically parametrized function to wrong argument matching. As we get more and more complex applications build on top of R (like bioconductor) partial matching gets more and more dangerous. I would like to deactivate partial matching in R (partial argument matching as well as partial matching of list elements), e.g. using an environment

I have defined boolean methods for bit and bitwhich objects, for example |.bit <- function(e1,e2) and |.bitwhich <- function(e1,e2) Both methods coerce their arguments to the respective class, however if I do something like bit_obj | bitwhich_obj then I get a warning Warning message: Incompatible methods ("|.bit", "|.bitwhich") for "|" and none of the

What is the best way to grow an R return object in writing a C function using the Rdefines.h macros. In my application, the final size of the return object is not known during construction. My understanding is that each time I grow an R object I have to use PROTECT() again, probably before UNPROTECTing the smaller version. However, due to the stack character of the PROTECT mechanism, UNPROTECT

Dear all, ? I don't know if you consider this a bug or feature, but it breaks reasonable code: 'unlist' and 'sapply' convert 'ordered' to 'factor' even if all levels are equal. Here is a simple example: o <- ordered(letters) o[[1]] lapply(o, min)[[1]]??????????# ordered factor unlist(lapply(o, min))[[1]]? # no longer ordered sapply(o, min)[[1]]??????????# no