similar to: Updated package: g.data v1.4

Version 1.6 of the "g.data" package is available on CRAN. The "g.data" package is used to create and maintain delayed-data packages (DDP's). Data stored in a DDP are available on demand, but do not take up memory until requested. You attach a DDP with g.data.attach(), then read from it and assign to it in a manner similar to S-Plus, except that you must run g.data.save() to

Version 1.6 of the "g.data" package is available on CRAN. The "g.data" package is used to create and maintain delayed-data packages (DDP's). Data stored in a DDP are available on demand, but do not take up memory until requested. You attach a DDP with g.data.attach(), then read from it and assign to it in a manner similar to S-Plus, except that you must run g.data.save() to

A new package "g.data" is available on CRAN, to create and maintain databases that work more like the S-Plus model. Here's the official Description for g.data (v1.2): Create and maintain delayed-data packages (DDP's). Data stored in a DDP are available on demand, but do not take up memory until requested. You attach a DDP with g.data.attach(), then read from it and assign

A new package "g.data" is available on CRAN, to create and maintain databases that work more like the S-Plus model. Here's the official Description for g.data (v1.2): Create and maintain delayed-data packages (DDP's). Data stored in a DDP are available on demand, but do not take up memory until requested. You attach a DDP with g.data.attach(), then read from it and assign

I have a daily job that attaches hundreds of pseudo-packages containing data as promise objects (DDP's, ref: g.data package), and plots the results to a multi-page pdf device. Sometimes it fails. Under R-2.2.1 it just gave segfaults. Under R-2.3.1 it gave this error message: *** caught segfault *** address (nil), cause 'memory not mapped' Traceback: 1:

My "g.data" contributed package fails under R-devel. g.data creates minimal packages which consist only of a "DESCRIPTION" file and the "R" and "data" subdirectories, but .find.package() now rejects them because the DESCRIPTION file lacks a "Version" field. I will fix g.data to add a "Version" field. My question is, what else is

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) <-

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 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) #

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

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

Under R-2.2.1, a POSIXlt date created with "strptime" has an unknown Daylight Savings Time flag: > strptime(20051208, "%Y%m%d")$isdst [1] -1 This is true on both Linux (details below) and Windows. It did not occur under R-2.1.0. Any ideas? TIA! > Sys.getenv("TZ") TZ "" Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu

help(library) says: "`.Last.lib' is called when a package is loaded." Probably should be "...is detached." -- David Brahm (brahm@alum.mit.edu) --please do not edit the information below-- Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = major = 1 minor = 3.1 year = 2001

If all rows are in the same "group", rowsum() returns a vector instead of a (1xN) matrix, contrary to documentation: R> print(z <- rowsum(matrix(1:12, 3,4), rep("x",3))) [1] 6 15 24 33 R> dim(z) NULL It worked correctly in version 1.4.0 but was broken by version 1.6.1. I'm currently using 1.7.1 under Solaris 2.8. --please do not edit the information

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

Hi All, Eagerly waiting for v1.4.x to mature a bit before getting serious about it. Is it ready for production yet? If that's too general, where is it in terms of stability compared to where 1.2.x is now. Anyone running it successfully in production environment and if so what sort of config do you have?

Hi, I'm planning to upgrade an old public/internal development infrastructure and will use CentOS 5.4 x86_64 as basis. One of the critical server is Subversion (as an Apache httpd module). We currently use Subversion v1.4 on the server and v1.6 on our clients. While I was very happy with the v1.4 server over the years, we now sometimes have weird issues which seem related to compatibility