similar to: NAMESPACES for data only packages

[Using R 2.7.2 on Windows XP] After re-building our heplots package, I've begun to get the following error from sessionInfo(), even though it passes R CMD check and builds without errors: > sessionInfo() Error in x$Priority : $ operator is invalid for atomic vectors In addition: Warning message: In FUN(c("MASS", "heplots", "car", "rgl",

Dear list, Some times I want to modify the pdf file which produced by R with illustrator. But when I use Illustrator open the pdf file, it often makes the pdf some little changed. Anyone have some suggestions? Is it better to use other file type, not pdf? Or when I produced the pdf, I should set some other parameters? Thank you

Where does the value 2.2e-16 come from in p-values for chisq tests such as those reported below? > Anova(cm.mod2) Analysis of Deviance Table (Type II tests) Response: Freq LR Chisq Df Pr(>Chisq) B 11026.2 1 < 2.2e-16 *** W 7037.5 1 < 2.2e-16 *** Age 886.6 8 < 2.2e-16 *** B:W 3025.2 1 < 2.2e-16 *** B:Age 1130.4 8 < 2.2e-16 *** W:Age 332.9 8 < 2.2e-16 *** --- Signif.

This may be elementary, but I can't find an answer: How can I set up global options for some specific arguments to functions in a package which can be easily changed by the user? This question relates to the selection of colors used in functions in several packages (heplots, genridge), where I want to provide reasonable default values for plots, but allow users to change those defaults

I'm giving a talk about some aspects of language and conceptual tools for thinking about how to solve problems in several programming languages for statistical computing and graphics. I'm particularly interested in language features that relate to: o expressive power: ease of translating what you want to do into the results you want o elegance: how well does the code provide a simple

CRAN task views are useful, but they seem difficult to write and maintain because the XML format is rather limited (no sectioning) and the <packagelist> must be maintained manually. They are also difficult to read because the generated html and .css used are extremely basic, giving an overly dense page. Are there any markdown-like tools for writing a CTV? Is it possible to apply a

[Env: Win XP] I've just upgraded from R 2.12.2 to R 2.13.1. As part of my upgrade process, I typically install some in-development packages from R-Forge that are not on cran. But for the first time, it doesn't work. e.g., > install.packages("p3d", repos="http://R-Forge.R-project.org") trying URL

I added a new data file, NLSY.RData, to a package that uses LazyData: Yes It passed R CRAN check and R CMD install worked w/o significant complaints. * installing to library 'C:/R/R-2.15.2/library' * installing *source* package 'heplots' ... ** R ** data ** moving datasets to lazyload DB ** demo ** inst ** preparing package for lazy loading Warning: package 'nnet' was

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ x, alpha = 0.2, size=2) But how can I

A simple question, but I can't find something to do what I want: Given: a vector of numbers, like lambda <- c(0, 0.005, 0.01, 0.02, 0.04, 0.08) Desired: format them in minimal space for use as plot labels, ie, without leading or tailing 0s. For this example: lambdaf <- c("0", .005", ".01", ".02", ".04", ".08") -- Michael

Now that R 3.0.0+ supports non-Sweave vignettes, R-exts \S 1.4.2 seems to imply that it is possible to include both Sweave and knitr vignettes in a single package. I'm wondering if anyone has tried this and/or if there are some hidden gotchas putting this into practice, and concerned about creating problems with CRAN checks if I try this. Consider two vignettes: pkg/vignettes/vign1.Rnw,

In the example below, from http://www.ling.upenn.edu/~joseff/rstudy/summer2010_ggplot2_intro.html I'd like to make (a) the fitted line thicker and (b) change the background fill color for the confidence envelope around each fitted line to a low-alpha transparent version of the same color used for the separate fitted lines for GENDER, rather than grey for both. How can I do this?

I'm trying to write a formula method for canonical correlation analysis, that could be called similarly to lm() for a multivariate response: cancor(cbind(y1,y2,y3) ~ x1+x2+x3+x4, data=, ...) or perhaps more naturally, cancor(cbind(y1,y2,y3) ~ cbind(x1,x2,x3,x4), data=, ...) I've adapted the code from lm() to my case, but in this situation, it doesn't make sense to include an

I have a collection of .csv files in a directory, and want to read them into R data.frames whose names are the same as the file names, without the .csv extension e.g., from > (files <- list.files(pattern="*.csv")) [1] "Allstar.csv" "AllstarFull.csv" [3] "Appearances.csv" "AwardsManagers.csv" [5]

== Summary == * Problem: BibTeX entries extracted from R packages via citation() require too much manual editing to be of general use. * Proposal: Date: fields should be made mandatory in package DESCRIPTION files, perhaps beginning with warnings from R CMD check * Proposal: Package authors should be encouraged to use a (new) Contributors: field in the DESCRIPTION file rather than packing all

I'm looking for an R equivalent of Beaton's (1964) Sweep algorithim for partial inversion of a matrix by pivoting. It implemented in SAS/IML as sweep(matrix, indices), described here http://support.sas.com/documentation/cdl/en/imlug/59656/HTML/default/langref_sect266.htm and here for python http://adorio-research.org/wordpress/?p=262 -- Michael Friendly Email: friendly AT yorku

Under Windows (and maybe others) you can use file.choose() as a substitute for an explicit file= argument in most places. Is there an analog for what I'll call dir.choose(), so that I can say setwd(dir.choose()) thx, -Michael -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416 736-5115 x66249 Fax: 416 736-5814 4700 Keele

Using R 2.13.1, I am now getting the following NOTE when I run R CMD check on my HistData package * checking for unstated dependencies in examples ... NOTE 'library' or 'require' calls not declared from: gplots sp Under R 2.12.x, I didn't get these notes. I have ~ 25 .Rd files in this package, and AFAICS, every example uses library or require for the functions used;

Hi All, When I teach an intro workshop on R, I've been minimizing "quote confusion" by always using quotes around package names in function calls. For example: install.packages("Hmisc") update.packages("Hmisc") library("Hmisc") citation("Hmisc") search() # displays package names in quotes detach("packages:Hmisc") # just as search

kronecker, with make.dimnames=TRUE uses a hardwired sep=":" in the line tmp <- outer(dnx[[i]], dny[[i]], FUN = "paste", sep = ":") For an application in which dimnames arise from an n-way array, where different dimensions have different roles, and I would like to be able to use kronecker in the form kronecker(A, B, make.dimnames=TRUE,