similar to: Binning function in R

Inspired by the functions that Barry Rawlingson and Dave Forrest posted for searching Rwiki and R-help archive, I've made up a function that does the search on Prof. Baron's site (Thanks to Prof. Baron's help on setting up the query string!): RSiteSearch <- function(string, restrict="Rhelp", format="long", sortby="score",

With the approach of R 2.12.0: with mild apologies for re-opening this perennial issue: is there any hope, if appropriate patches are submitted, of adding a drop.levels argument (with default equal to FALSE to preserve backward compatibility/efficiency) to the subset function ... ? If not, would a patch to the documentation and/or the R FAQ be accepted? This does seem to be a continuing

I've made a few changes in the indices in my R search site. http://finzi.psych.upenn.edu is the general URL, and RSiteSearch takes you to http://finzi.psych.upenn.edu/search.html, which is equivalent to http://finzi.psych.upenn.edu/nmz.html. The main change is that I have eliminated "Previous message" and "Next message" from each page. (I still have "Next in

Hi all I have a question regarding differences in the way gregpexr works in R 2.3.0 and R 2.4.0. In R 2.3.0, this is what happens: > gregexpr(" [a-z] [a-z] ", " a b c d e f ", perl=T) [[1]] [1] 1 3 5 7 9 attr(,"match.length") [1] 5 5 5 5 5 ... while in R 2.4.0, this is what happens: > gregexpr(" [a-z] [a-z] ", " a b c d e f ", perl=T)

For my R page at http://finzi.psych.upenn.edu/ (also the target of RSiteSearch()), I'm trying to find a way to get the html versions of the help pages without actually installing packages. This will allow me to include packages that don't install. And it will also vastly speed up the monthly update, and make it easier to replicate everything in case of disaster. I have made a modified

First, my site will be down December 27-28 because of a network upgrade at Penn. It will also be down at least one day before that, while I upgrade the operating system. (And another day some time in January because of a planned power outage.) Second, I have replaced the search engine in my R site: http://finzi.psych.upenn.edu/ I am now using Namazu instead of HtDig. The direct link to the

The CRAN host in Tampa, FL (cran.hostingzero.net) isn't responding, and hasn't responded in quite a while -- at least problems were reported more than a year ago (Oct 2007) http://finzi.psych.upenn.edu/R/Rhelp02a/archive/116706.html although someone apparently succeeded in July 2008 http://finzi.psych.upenn.edu/R/Rhelp02a/archive/137451.html Perhaps it's just flaky, and not

Dear list, For all those interested who use Firefox as the main browser, here is a quick way to make R related searches: type "about:config" in the address bar search for "keyword.url" and modify it to "http://finzi.psych.upenn.edu/cgi-bin/namazu.cgi?idxname=functions&idxname=docs&idxname=Rhelp02a&query=" >From now on, every keyword(s) you type in

Unfortunately, I am unable to get this search site working again. (The message below explains why I had to rebuild it.) The computer worked for the better part of a day downloading and installing all the help files from all CRAN packages. Somehow it failed to get the vignettes this time. But I pushed ahead and ran the part of namazu that makes the search indices: mknmz. And you can see the

Dear group, Thank u so much 4 ur help. I've tried the link, http://finzi.psych.upenn.edu/R/library/quantreg/html/akj.html for adaptive kernel density estimation. But since I'm an R beginer and the topic of adaptive estimation is new for me, i still can't figure out some of the arguments of akj(x, z =, p =, h = -1, alpha = 0.5, kappa = 0.9, iker1 = 0) I've a vector of 1000 values

Hi All, Sorry that I didn't provide enough information. I've been trying to import SAS xport files that contain multiple files using package foreign's read.xport. I first attempted this back in 2005 and had problems. Some of files that were present in the SAS xport file weren't being created in R. I submitted my problem to the community:

How can I get prediction intervals from a mixed-effects model? Consider the following example: library(nlme) fm3 <- lme(distance ~ age*Sex, data = Orthodont, random = ~ 1) df3.1 <- with(Orthodont, data.frame(age=seq(5, 20, 5), Subject=rep(Subject[1], 4), Sex=rep(Sex[1], 4))) predict(fm3, df3.1, interval='prediction') # M01 M01

Version 1.2.0 of pmml has been released and is available from CRAN. The pmml package (http://rattle.togaware.com/pmml.html) is part of the Rattle data mining suite http://rattle.togaware.com. It generates representations of analytic models built in R using the open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent

Version 1.2.0 of pmml has been released and is available from CRAN. The pmml package (http://rattle.togaware.com/pmml.html) is part of the Rattle data mining suite http://rattle.togaware.com. It generates representations of analytic models built in R using the open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent

Dear All, I have the following function tstpar <- function(n = 200, want.pdf = FALSE, pdfFileName = NULL){ oldpar <- par(no.readonly = TRUE) on.exit(par(oldpar)) steps <- seq(from = 1, to = 8, by = 1) h <- 10; w <- 6 if(want.pdf){pdf(file = pdfFileName, onefile = TRUE, paper = "letter", width = w, height = h)} par(mfrow = c(4,2)) for(i

Here is a summary of responses to my original email (see my query at the bottom). Thank you to Achim Zeileis , Anders Nielsen, Pierre Kleiber and Dave Fournier who all helped out with advice. I hope that their responses will help some of you too. ***************************************** Check out glm.nb() from package MASS fits negative binomial GLMs.

I don't think Spencer replied to your message. It wasn't addressed to you. He was replying to a specific post on nomograms. However you might try being less specific as a search on "spatial cluster" gave back [R] mclust - clustering by spatial patterns http://finzi.psych.upenn.edu/R/Rhelp02a/archive/13474.html [R] Spatial Clustering

Does anyone know how to read a SYSTAT .syd file on Linux? (Splus 6 does it, but it is easier to find a Windows box with Systat than to download their demo. I'm wondering if there is a better way than either of these options.) Jon -- Jonathan Baron, Professor of Psychology, University of Pennsylvania Home page: http://www.sas.upenn.edu/~baron R search page:

My search site, http://finzi.psych.upenn.edu, has had several problems recently, all my fault, for which I apologize. But it now seems to be running reliably, on a new computer that is much faster than the old one. It uses htdig to permit search of the Rhelp mailing list, R documents, R functions, and various combinations of these. Search has several options, including Boolean search (with AND,

Hello, I want to fit a GEE with a user-defined link function. For the user-defined link-function I still read http://finzi.psych.upenn.edu/R/Rhelp01/archive/6555.html and http://finzi.psych.upenn.edu/R/Rhelp02a/archive/25727.html. Only for testing purposes I added a new link function (corlogit) in make.link (as well as in binomial) with exactly the same code as logit before using my code.