similar to: Lost backslashes in parse()

In prior versions, as recent as R-1.5.0pre (2002-04-08), Tcl/Tk support worked just fine, with "configure" (no flags) finding /usr/local/lib/tclConfig.sh and /usr/local/lib/tkConfig.sh. In Monday's official release of R-1.5.0, Tcl/Tk support now fails for me (under Solaris 2.6): ... checking for tclConfig.sh... no checking for tclConfig.sh in library (sub)directories... no

Working on Windows I have had to deal with CSV files that, unfortunately, contain embedded Control-Zs, i.e. ASCII character 26 in decimal, and the readLines() function in R on Windows (2.15.2 and 3.0.0) appears to truncate at the control-Z. There is no problem at all on Ubuntu Linux with R 3.0.0. Am I mistaken or is this genuine? # Create a small file with embedded Control-Z h3 <-

Is it just my installation or does edit() (or fix(), etc.) in R-4.0.0 double all the backslashes when options(keep.source=TRUE)? E.g., > options(keep.source=TRUE) > f <- function(x) { cat("\t", x, "\n", sep="") } > edit(f) # exit the editor without making any changes The editor (vi or notepad) shows doubled backslashes function(x) {

--- On Fri, 6/11/09, tlumley at u.washington.edu <tlumley at u.washington.edu> wrote: > From: tlumley at u.washington.edu <tlumley at u.washington.edu> > Subject: Re: [Rd] A fix that for 'bquote' that may work? (PR#14031) > To: suharto_anggono at yahoo.com > Cc: r-devel at stat.math.ethz.ch, R-bugs at r-project.org > Date: Friday, 6 November, 2009, 11:42 PM >

Hi, I asked this question 2 years ago, and would like to know if the answer has changed. In S-Plus, I build databases of many large objects. In any given analysis, I only need a few of those objects, but attach'ing the whole database is fine since objects are only read as needed. How can I do the same thing in R, without reading the entire database? One possibility is to treat

The result of rowsum() in R doesn't have the dimnames I'd expect, e.g.: > rowsum(matrix(1:12, 3,4), c("Y","X","Y")) [,1] [,2] [,3] [,4] 1 2 5 8 11 2 4 10 16 22 whereas S-Plus gives the more useful result: [,1] [,2] [,3] [,4] X 2 5 8 11 Y 4 10 16 22 This is because R's rowsum() code gives the

Dear all, I am trying to benchmark code that occasionally prints on the screen and I want to suppress the printing. Is there an idiom for this? If I do sink(tempfile) microbenchmark(...) sink() then I'll be also measuring the costs of writing to tempfile. I could also sink to /dev/null, which is probably fast, but that is not portable. Is there a better solution? Is writing to a

Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

Dear List: I am encountering an error that I can't resolve. I'm looping through rows of a dataframe to generate individual tex files using Sweave. At random points along the way, I encounter the following error Error in file() : cannot find unused tempfile name At which point Sweave halts. There isn't a logical pattern that I can identify in terms of why the program stops at

as.character.factor contains this line (where cx=levels(x)[x]): if ("NA" %in% levels(x)) cx[is.na(x)] <- "<NA>" Is it possible that this is no longer the desired behavior? These two results don't seem very consistent: > as.character(as.factor(c("AB", "CD", NA))) [1] "AB" "CD" NA > is.na(.Last.value)[3] [1] TRUE

The following code produces 6 plots on a page, but the first is distorted and different from the others: par(mfrow=c(3,2), las=2) for (i in 1:6) { frame() par(mar=c(7, 7, 1, 1)) axis(2); box(); abline(h=seq(0,1,.5), col=2:4) } The first plot's axes are mis-aligned with the plotting area implied by the box. It seems to be a result of calling par(mar) after frame(). Is this expected

Hi, is there a way to retrieve the line number of where en error occurred when sourcing a file in a tryCatch statement? Is it stored somewhere accessible? It is not found in the error object. Consider the following code/output and note the difference in the traceback between source (has line number) and sys.source (has no line number). Thank you, Renaud ######## # code ######## codefile <-

Thanks to David Meyer [david.meyer@ci.tuwien.ac.at] and David Brahm [brahm@alum.mit.edu] who suggested: m[ cbind(index.i, index.j) ] <- vals This works fine for the example I gave. Unfortunately, this approach doesn't extend to using the row and column names to make assignments: > m <- matrix("",ncol=3,nrow=3) > dimnames(m) <-

R> x <- 0. + 1:8000 R> y <- outer(-x, x, pmin) Error: cannot allocate vector of size 1000000 Kb Why does R need to allocate a gigabyte to create an 8000 x 8000 matrix? It doesn't have any trouble with outer(-x, x, "+"). Thanks. -- David Brahm (brahm at alum.mit.edu) Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system = i686, linux-gnu status =

After upgrading to R-2.3.1 on Linux Redhat, I was suprised by this: R> x <- c(721.077, 592.291, 372.208, 381.182) R> sum(x) - 2066.758 [1] 4.547474e-13 Now I understand that floating point arithmetic is not precise, but 1) the result is exactly 0 in R-2.2.1 (patched) on the same machine, 2) .Machine$double.eps = 2.2e-16, so the error seems quite large. Also note I get the same

I sent a message to <r-announce at stat.math.ethz.ch> last Thursday ("New package: colSums"), and still haven't seen it echoed on r-help or on the web archive (in fact there is no r-announce web archive for 2002). Is something broken? Did I need to use <r-announce at lists.R-project.org> instead? -- -- David Brahm (brahm at alum.mit.edu)

In a clean environment under R-2.1.0 on Linux: > x <- 1:5 > x[3] <<- 9 Error: Object "x" not found Isn't that odd? (Note x <<- 9 works just fine.) Why am I doing this? Because I'm stepping through code that normally lives inside a function, where "<<-" is appropriate. -- David Brahm (brahm at alum.mit.edu)

In R-patched_2003-10-20, subsetted 1-D arrays no longer get converted to vectors. The NEWS file documents this change, as an indirect result of bug report 4110. I just wanted to mention this can break code in some rather obscure ways, such as this toy example: R> x <- sort(tapply(1:8, rep(1:4,2), sum)) # Was vector, now is 1D array R> y <- matrix(1:4, 1,4) #

I'd like to play with ARIMA models of stock prices, but I am a complete novice. Could some kind soul explain the relationship among packages "ts", "tseries", "dse", "dse2", and "fracdiff"? Are they 'competing' products or does one depend on another? Where would be the best place for a novice to begin? Thanks for any advice. PS. I