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...2002-2.pdf Anyone know who I should tell about this? Thanks! - Jan References 1. http://www.r-project.org/doc/Rnews/Rnews_2002-1.pdf 2. http://www.r-project.org/doc/Rnews/Rnews_2002-1.pdf -- Jan Theodore Galkowski Senior Systems Software Engineer Akamai Technologies Cambridge, MA 02142 jgalkows@akamai.com bayesianlogic@acm.org 607.239.1834 (m) 607.239.1834 (h) 617.444.4995 (w) [[alternative HTML version deleted]]

I wondered if there were standard practices in CRAN for delivery of R source implementing functions in R packages. I has encountered a couple of packages where the gzipped version of source contains very little, primarily the Help files describing the functions in the package. In some cases I can find the source as the value of the function name. Given that these packages are released as GPL,

There's Renka's STRIPACK, and TRIPACK, respectively, ACM TOMS Algorithms 772 and 751, and there's the R package "deldir" which does the Delaunay for a plane, but does anyone have or know of the tessellation in R for a sphere? Also, is there a standard indexing scheme for Delaunay facets, and perhaps of edges in such facets? I'd expect that to be a publication reference,

I wanted to put this on the R Wiki, but found the suitable pages were read-only. I wanted to get it out in public to save people work. I was converting dates like "2009/03/26 01:00:00 AM" using as.POSIXct. I found that using a format of "%Y/%m/%d %I:%M:%S %p" did not work correctly to distinguish AM from PM. Both were converted into the same timestamp. Indeed, what I found

Recently, a package for convex optimization was announced for Python, based upon the LP solver GLPK, the SDP solver in DSDP5, and the LP and QP solvers in MOSEK. I'm aware GLPK is available for R, but wondered if anyone had good packages for convex optimization along these lines for R. TIA.

Like many software assemblies, R is updated frequently. Also, it creates its own release-numbered directory when it is installed. Packages get dumped into the subdirectory "library". I have a personal habit of storing documents related to R packages in the "doc" subdirectory. Here are my questions. (1) How do people manage an upgrade, from 2.6.1, say, to 2.6.2? 2.6.2 will

lm's "predict" function offers an "interval" parameter to choose between 'confidence' and 'prediction' bands. In the package "robust" and for "lmRob", there is also a "predict" but it lacks such a parameter, and the documented "type" parameter has only "response" offerred. Is there some way of obtaining

Joyful. I'm adapting a FORTRAN 77 package for use with R. Pretty straightforward. Except for a glitch it took me some time to figure out. This existing package has subroutines which have parameters called "NA". So, I called subroutines like bnodes <- function(n, lst, lptr, lend, nodes, nb, na, nt) { ensure.all.numeric(list(n, lst, lptr, lend, nodes, nb, n.a, nt),