similar to: sessionInfo() error

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

Hello, I am having trouble loading the package candisc onto my R distribution. I am using 2.7.1-2. I do a "> install.packages("candisc" and get the following output. Warning in install.packages("candisc") : argument 'lib' is missing: using '/usr/local/lib/R/site-library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk

[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: >

Using SUSE Linux, Windows 32 bit and Windows 64 bit R 3.0.2 , I am unable to use R CMD check successfully. Here is the Windows 64 bit report: Z:\R\source\effects>R CMD check pkg * using log directory 'Z:/R/source/effects/pkg.Rcheck' * using R version 3.0.2 (2013-09-25) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * checking for file

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

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

How about this (I'm showing it as a pipe because it's easier to read that way): library(magrittr) "f 147/1315/587 2820/1320/587 3624/1321/587 1852/1322/587" %>% ? strsplit(' ') %>% ? unlist %>% ? sub('^[^/]*/*','',.) %>% ? sub('^[^/]*/*','',.) %>% ? paste(collapse = ' ') Georges Monette -- Georges Monette,

[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

Hello, I have a file with two dependent variables (three and five) and one independent variable. I do i.mod <- lm(cbind(three, five) ~ species, data=i.txt) and get the following output: Coefficients: three five (Intercept) 9.949 9.586 species -1.166 -1.156 I do a" i.can<-candisc(i.mod,data=i): and get the following output: Canonical Discriminant Analysis

Hello, I have a question regarding the candisc package. My data are: species three five 1 2.95 6.63 1 2.53 7.79 1 3.57 5.65 1 3.16 5.47 2 2.58 4.46 2 2.16 6.22 2 3.27 3.52 I put these in a table and then a linear model >newdata <- lm(cbind(three, five) ~ species, data=rawdata) and then do a candisc on them >candata<-candisc(newdata)

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

[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

[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

I have a file containing "words" like a a/b a/b/c where there may be multiple words on a line (separated by spaces).? The a, b, and c strings can contain non-space, non-slash characters. I'd like to use gsub() to extract the c strings (which should be empty if there are none). A real example is "f 147/1315/587 2820/1320/587 3624/1321/587 1852/1322/587" which

In building a package, what are the settings in the package files or the build commands that determine whether the compiled HTML help windows have the window title "R Help for package foo" vs. "HTML Help"? I often have quite a few help files active, and it is much more convenient to navigate among them if the window has an informative title. If this is simple to test for in

[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 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

Hi Folks, Could anyone point me to a good reference on linear regression models? Specifically, I am trying to gain an intuitive feel for how the standard error values are calculated for the parameter estimates. My understanding is that these are computed using the variance-covariance matrix computed from the input data matrix. Although I think I understand the math, I still don't have a

== 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