similar to: file.rename overwrites existing target (PR#14065)

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 John, Dear Joseph, Thank you for your quick answers and the pointer to semnet. I try to clarify on my assumptions: - yes, I am willing to assume multivariate normality - no, I don't want to assume a single factor model - I assume there is an unknown number of factors, and I do not know which items belong to which factors but I still want to estimate single item reliabilities Is this

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

I was surprised to find that calling str() on an environment can remove attributes from it, as in > a <- new.env() > class(a) <- "jens" > class(a) [1] "jens" > str(a) Class 'jens' length 0 <environment> > class(a) NULL then I found in the R-Language-Manual in chapter 2.1.10 Environments the sentence: "In particular, assigning

I try to create a big treelike list structure using the RDefines/RInternal macros. The tree carries information at each node (attribute list) and at each leaf (vector). My understanding is that for each node I add to the binary tree I have to call PROTECT(newnode = NEW_LIST(2)); and cannot UNPROTECT before I return the whole tree. Same story for node attributes and leaf vectors. However, this

Full_Name: Jens Oehlschl?gel Version: 2.5.1 OS: Windows Submission from: (NULL) (62.159.183.42) Even when specifying the full path, the output of fc is not sent to R (neither shown nor returned). For example > system('c:\\WINDOWS\\system32\\fc.exe /?',intern=TRUE) character(0) When I do the same from python 2.3, I get >>> import os >>>

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

Dear all, Our quite basic function mtext() does wrong adjustments in some parameter configurations. This gets obvious when using multi line texts: There is no way to properly adjust text perpendicular to axis 2, for example. Best Jens Oehlschl?gel m <- matrix(1:9, 3) colnames(m) <- c("several\nlines", "several\nlines", "several\nlines") par(mfrow=c(2,2))

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

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.

> library(tcltk) > tkStartGUI() Error in .C("RTcl_ActivateConsole", PACKAGE = "tcltk") : C function name not in DLL for package tcltk > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 9.1 year 2004

Dear all, the help of par() claims that cin and cra are c(width, height) but it appears to be rather c(height, width) Best regards Jens Oehlschl?gel > plot.new() > strheight("W", unit="inches") [1] 0.1354167 > par("cin") [1] 0.1354167 0.1875000 > version _ platform i386-pc-mingw32 arch i386 os mingw32

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 --

Dear all, what is the proper way to make the assignment operator generic and define methods depending on the class of the assigned value? Best regards Jens Oehlschl?gel P.S. I vaguely remember that this was possible in S+. In R I tried to no avail: # using this like h<-1:3 gives Error: in `<-.default`(h, 1:3) : invalid (do_set) left-hand side to assignment

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

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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

Thanks to all who have responded. My concern was to be able to write a csv file that can have line feeds in string columns chr(10). Why? Excel allows line feeds chr(10) within cells and line breaks chr(13)+chr(10) at line ending, but the windows version of R automatically replaces \n by \r\n in writing and \r\n by \n in reading (text mode). The clues for a solution came from Brian Ripley and

Dear all, I discovered that read.table (RW1.8.0) leaves out data when reading multiple-line records. Replication code at the end Best regards Jens Oehlschlägel > filename <- "c:/tmp/c2.csv" > > data <- data.frame(a=c("c", "e\nnewline"), b=c("d", '"quoted simpleline"')) > > #look at the data >