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Full_Name: John Hendrickx Version: 1.6.0 OS: Windows 98 Submission from: (NULL) (137.224.174.216) CrossTable in the "gregmisc" package fails when the fisher.exact test produces an error (I suspect this is because the number of cases is too large). This can be fixed using "FTt <- try(fisher.test(t, alternative = "two.sided"))" or by making the test optional.

...uot;, "column" or "total" # for percentages (default "n") # row.vars: # col.vars: same usage as ftable, ignored for one- and # two-way tables # percentages: FALSE==> proportions are presented rather # than percentages (default TRUE) # comments to John Hendrickx <John_Hendrickx at yahoo.com> ctab<-function(...,digits=2, type=c("n", "row", "column", "total"), row.vars=NULL, col.vars=NULL, percentages=TRUE) { if (attributes(...)$class=="factor") { # create a table if the arguments are factors tbl<-table(...

I've uploaded the R package "perturb" to CRAN. Perturb contains two programs for evaluating collinearity. "Colldiag" calculates condition indexes and variance decomposition proportions to detect and track down collinear sets of variables. "Perturb" takes a different approach. It re-estimates the model a specified number of times, adding random noise

I've uploaded a new version of "catspec" to CRAN. Catspec is for estimating certain "special categorical" models. It also contains "ctab", a function for creating one-way, two-way, and multi-way percentage tables (nothing special there really). Ctab can now print more than one percentage type, as well as table marginals. The first special model in catspec is

I've posted a sample file for estimating loglinear models for square tables (mobility models) at http://www.xs4all.nl/~jhckx/mcl/R/ Comments and suggestions are welcome. John Hendrickx

I've put two packages for R on my home page at http://www.xs4all.nl/~jhckx/R/. The "pcnt" package is for multiway percentage tables. I've posted a first effort called "ctab" on this group and a request for enhancing "ftable" with percentages on the wishlist. The "mcl" package is for estimating multinomial logistic models using conditional logistic

I'm trying to estimate a "diagonal reference model" in nls. In its basic form, the model consists of two factors with equal categories and a dependent variable. The model fits the main effects of the two factors such that they are proportional to each other. So the model I want to fit is: Y=p*m[f1]+(1-p)*m[f2] The m-parameters indicate the "average" main effect of factors

I've uploaded the R package "perturb" to CRAN. Perturb contains two programs for evaluating collinearity. "Colldiag" calculates condition indexes and variance decomposition proportions to detect and track down collinear sets of variables. "Perturb" takes a different approach. It re-estimates the model a specified number of times, adding random noise

I've uploaded a new version of "catspec" to CRAN. Catspec is for estimating certain "special categorical" models. It also contains "ctab", a function for creating one-way, two-way, and multi-way percentage tables (nothing special there really). Ctab can now print more than one percentage type, as well as table marginals. The first special model in catspec is

Full_Name: John Hendrickx Version: 1.6.2 OS: Windows XP Submission from: (NULL) (80.126.78.108) (This is not a bug report but a request to add a feature to future versions of R. Hope this is an appropriate place). I'd like to suggest adding an option to ftable to allow percentages. It would be easy to do and backwards compatible. Percentage tables are useful in educational contexts, whereas

I'm trying to update my "perturb" package to get rid of some small warning messages. The examples in "perturb" use the "Duncan" dataset from the "car" package and I have "car" installed in R. But when I run "R CMD check", I get an error message > require("car") Loading required package: car Warning in

I've been experimenting with R during the last week and I thought I'd pass on some comments on issues on the documentation that left me a bit confused. To start with (literally), the ReadMe.rw1021 file says that the easiest way to install R is to download the rwinst.exe installer program. That gave me the impression that the program would connect to an R download site, download the

Not really an R question but I'm hoping someone can help me out. I'm having problems with the R help page "The R language" and Mozilla 1.3 with the Java 2 runtime environment 1.4.1_02 under Windows XP. The problems occur on the "Search Engine & Keywords" page. I can open two links, but after that links aren't recognized. The problem seems to be javascript

A multinomial logit model can be specified as a conditional logit model after restructuring the data. Doing so gives flexibility in imposing restrictions on the dependent variable. One application is to specify a loglinear model for square tables, e.g. quasi-symmetry or quasi-independence, as a multinomial logit model with covariates. Further details on this technique and examples with several