similar to: Consistency of messages from R CMD {check,build,install}

I've just released the latest R-Forge versions of heplots 0.9-3 and candisc 0.5-18 to CRAN. They should appear there within a day or two. == heplots The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, etc.). They represent sums-of-squares-and-products matrices for linear hypotheses and for

It is A Good Thing to regularize Authors and Maintainers of packages, particularly for citation() and toBibTex(). Could I add a suggested TODO item for the maintainer of package.skeleton and friends to help reinforce this for new packages: - Please add appropriate templates for Author at R in the skeleton DESCRIPTION file generated, indicating the proper format as well as the use of role= to

[Env: Win Xp / StatET 2.0 / R 2.15.0] In my heplots package I extended the HE-examples.Rnw vignette under inst/doc. The package passes R CMD check on my machine: * using log directory 'C:/eclipse-3.7/heplots.Rcheck' * using R version 2.15.0 (2012-03-30) * using platform: i386-pc-mingw32 (32-bit) ... * checking sizes of PDF files under 'inst/doc' ... OK * checking installed files

A new function in my heplots package wants to use a non-exported utility function in the car package, df.terms, but this depends on other non-exported functions. From the Writing R extensions manual, I thought I could do this via (in my NAMESPACE) importFrom(car, car:::df.terms, car:::df.terms.default, car:::is.aliased) but I get: ** preparing package for lazy loading Error : objects

[Env: R 2.14.2 / Win Xp] In the examples below, I'm using lattice::bwplot to plot boxplots of 4 variables, grouped by a factor 'epoch' which also corresponds to a numeric year. I'd like to modify the plots to position the boxplots according to the numeric value of year, but I can't figure out how to do this. Also, I'd to modify the strip labels that give the variable

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 following up on a question I posted 8/10/2010, but my newsreader has lost this thread. > Barrett & Ling, JASA, 1992, v.87(417), pp184-191 define general > classes of influence measures for multivariate > regression models, including analogs of Cook's D, Andrews & Pregibon > COVRATIO, etc. As in univariate > response models, these are based on leverage and

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

[Env: OS: Win Xp; R 2.15.2; IDE: eclipse/StatET] Each time I update my heplots package, I get warnings from R CMD check on R-Forge, * checking sizes of PDF files under ?inst/doc? ... WARNING ?gs+qpdf? made some significant size reductions: compacted ?HE-examples.pdf? from 739Kb to 366Kb and upon submission to CRAN, a message from maintainers: On CRAN now: but again there were warnings

I'm trying to write some functions extending influence measures to multivariate linear models and also allow subsets of size m>=1 to be considered for deletion diagnostics. I'd like these to work roughly parallel to those functions for the univariate lm where only single case deletion (m=1) diagnostics are considered. Corresponding to stats::hatvalues.lm, the S3 method for class

Barrett & Ling, JASA, 1992, v.87(417), pp184-191 define general classes of influence measures for multivariate regression models, including analogs of Cook's D, Andrews & Pregibon COVRATIO, etc. As in univariate response models, these are based on leverage and residuals based on omitting one (or more) observations at a time and refitting, although, in the univariate case, the

[Using R 2.8.0 / Win XP / ] I just added a CITATION file to the heplots package--- appended below. From the document ion for ?CITATION, there can be *one or more* calls to citEntry() within the CITATION file, and each should produce an object of class "citation". With just a single citEntry(), citation produces the expected output, with BibTeX entry: >

I have a diagram to be included in latex, where all my figures are .eps graphics (so pdflatex is not an option) and I want to achieve something like the following: three concentric filled circles varying in lightness or saturation. It is easiest to do this using transparency, but in my test using the postscript driver, the transparent color fills do not appear. Is it correct that postscript()

[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",

I'm happy to announce the candisc package, v 0.5-9, now on CRAN. Generalized Canonical Discriminant Analysis Description This package includes functions for computing and visualizing generalized canonical discriminant analyses for a multivariate linear model. They are designed to provide low-rank visualizations of terms in a mlm via the plot method and the heplots package. The methods

I'm happy to announce the candisc package, v 0.5-9, now on CRAN. Generalized Canonical Discriminant Analysis Description This package includes functions for computing and visualizing generalized canonical discriminant analyses for a multivariate linear model. They are designed to provide low-rank visualizations of terms in a mlm via the plot method and the heplots package. The methods

[Env: Tested under Win Xp, R 2.9.2 and R 2.10.1; sessionInfo() at end] I've run into a problem with the heplot3d() function in my heplots package which causes the R GUI to crash ('R for Windows GUI encountered a problem and needs to close...'). I think the problem comes from an rgl call, but, I can't get a traceback or other information because my R session crashes. I've

[Env: R 2.15.1, Win Xp] Suggestion: Could the R script that checks for non-ASCII characters in R CMD check not give either: (a) a pointer to tools:::showNonASCIIfile, as in, try running tools:::showNonASCIIfile("Battig.Rd") or, (b) perhaps more useful, the result of tools:::showNonASCIIfile(file.Rd) on the offending file(s). I'm frequently bitten by this in preparing .Rd files

Env: R 2.8.1, Win Xp, Eclipse/StatET In a .Rd file, I have an example containing the lines: # calculate Y M, using polynomial contrasts trends <- as.matrix(VocabGrowth) %*% poly(8:11, degree=3) colnames(trends)<- c("Linear", "Quad", "Cubic") [At the risk of a long message, I'll append the complete .Rd file at the end of this message, in case this was

I'm working on some functions for generalized canonical discriminant analysis in conjunction with the heplots package. I've written a candisc.mlm function that takes an mlm object and computes a candisc object containing canonical scores, coeficients, etc. But I'm stumped on how to construct a mlm for the canonical scores, in a function using the *same* right-hand-side of the model