similar to: New package: g.data

R gurus, On Aug 20, 2002, I asked in R-help about calculating a running 5-day median on a large matrix. Thanks to Martin Maechler <maechler@stat.math.ethz.ch> and Ray Brownrigg <Ray.Brownrigg@mcs.vuw.ac.nz> for responding. I ended up writing C code (and an R interface) to do it, which is about 1000x faster than the naive method! (72s became .09s on a 223 x 520 matrix). I added a

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

I am new on R, so I have a maybe naive question: if I have many large data.frames and I use only one or two per session, what's the best way? If all are stored in the actual .Rdata, the system gets slow. On the other hand, I wouldn't like to make a separate package for the data. Should I save it with save() and then remove it with rm() ? Could I reload it then? Thanks for suggestions

Version 1.4 of package "g.data" is available on CRAN. This upgrade is necessary for it to work under R-1.8.0, and is fully backward compatible. Description: 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

Version 1.4 of package "g.data" is available on CRAN. This upgrade is necessary for it to work under R-1.8.0, and is fully backward compatible. Description: 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

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

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

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:

I've searched the doc for insert and could not find the way to do the following, hope someone can help: Let's say we have a vector: > a [1] "1" "2" "3" "5" "6" "3" and we want to insert a "7" after any given "3", i.e., we want vector a to become: [1] "1" "2" "3"

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

Also in assign() there some arguments lacking in R such as 'frame' and 'where', though I guess that 'frame' in S may be similar to 'pos' in R. Harvey -----Original Message----- From: David Brahm [SMTP:a215020@agate.fmr.com] Sent: Wednesday, October 03, 2001 11:36 AM To: r-help@stat.math.ethz.ch Cc: Kurt.Hornik@ci.tuwien.ac.at; r-bugs@r-project.org Subject:

I sent a post to find a clever way to compute a Rolling Average of columns in a matrix and I was given the solution below which I am very pleased with. RollingAverage <- function(x, RollingObs) { cx <- cumsum(x); N <- length(x); Temp <- (cx[RollingObs:N] - c(0, cx[1:(N-RollingObs)]))/RollingObs Output <- array(NA, N) Output[RollingObs:N] <- Temp; Output } The only

Sun, 26 Jul 2020 19:03:04 +0100 Rowland penny via samba <samba at lists.samba.org>: > On 26/07/2020 18:45, RhineDevil wrote: > > > > Done, I still get the same errors when adding mod.ldif > > > > (I used ldbadd instead of ldbmodify, is that a problem?) > > No, that isn't the problem, the problem is that I forgot to remove a > comment :-( > >

Mon, 27 Jul 2020 09:09:04 +0100 Rowland penny via samba <samba at lists.samba.org>: > On 27/07/2020 01:12, RhineDevil wrote: > > Sun, 26 Jul 2020 19:03:04 +0100 Rowland penny via samba <samba at lists.samba.org>: > >> On 26/07/2020 18:45, RhineDevil wrote: > >>> Done, I still get the same errors when adding mod.ldif > >>> > >>> (I

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Dear all, Maybe, I am doing something wrong, but using R-2.5.0 on my Intel-Mac, I have problems using function callNextMethod() in method initialize. I am loading the following code as file "testS4.R": setClass("baseClass", representation(myname = "character", mydir = "character", "VIRTUAL"),

If .../<pkg>/man/ contains a filename beginning with [, such as [.datetimes, Rdconvlib.pl cannot convert that help file into latex at INSTALL time. [Using --no-latex is a workaround.] The error given is: # R INSTALL ssCatalogues : help >>> Building/Updating help pages for package `ssCatalogues' Formats: text html latex example /^[.datetimes$/: unmatched [] in regexp at

Hello! I want to detect some environment on a remote host (in C program, getenv()), but it is failed. Here is a little program which I try to run on a remote host with command: "#ssh myhost myecho" /* myecho */ #include <stdio.h> main (){ char *dir; if ((dir = getenv("MYDIR")) != NULL) printf ("environment is %s\n",dir);