search for: catspec

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 ma...

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 ma...

Hello, I have a dataset with a continuous independent variable (fish length, range: 30-150 mm) and a binary response (foraging success, 0 or 1). I want to discretize fish length into 5 mm bins and give the proportion of individuals who successfully foraged in each each size bin. I have used the cut function to discretize the length values into my desired bins, but I can't figure out how to

...ctors, x, and try to abbreviate or wrap them to fit approximately the maxlength and maxlines constraints, using the split argument to specify allowable characters to wrap to multiple lines. For example, this two-way table has dimnames too long to be displayed nicely in a mosaicplot: > library(catspec) > library(vcd) > > data(FHtab) > FHtab<-as.data.frame(FHtab) > > xtable <- xtabs(Freq ~ .,FHtab) > lab <- dimnames(xtable) > lab $OccFather [1] "Upper nonmanual" "Lower nonmanual" "Upper manual" "Lower manual" [5]...

Dear list, I am trying to create a three-way table with percent occurrence instead of raw frequencies. However, I cannot get the results I expected: I have the following table: > ftable(table( mannerDF$agem, mannerDF$target, mannerDF$manner )) <snip> 50 bak 0 0 0 0 1 0 pak 0 0 0 0 3 0 sak

Hi,  I tried fitting loglinear model using the glm(catspec). The data used is FHtab. . An independence model was fitted. Here summary() and fitmacro( ) give different values for AIC.   I understand that fitmacro( ) takes the likelilhood ratio L2(deviance) to calculate AIC and uses the formula AIC= L2- d.f(deviance)*2 and this AIC is used in nested model...

Hi,  I tried fitting loglinear model using the glm(catspec). The data used is FHtab. . An independence model was fitted. Here summary() and fitmacro( ) give different values for AIC.   I understand that fitmacro( ) takes the likelilhood ratio L2(deviance) to calculate AIC and uses the formula AIC= L2- d.f(deviance)*2 and this AIC is used for comparison of...

...writing proc.time(<expression>) where system.time() was more plausible, misusing nargs() (if you want the number of args in ..., use length(list(...)), not nargs(...)), using on.exit(par=opar) not on.exit(par(opar)), and so on. Specifically CRAN packages NMF, RobAStBase, TTR, aroma.light, catspec, gvlma, mvbutils, orloca, orloca.es, sm and staRt now fail in R-devel (and also some that use them). -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self)...

Dear All, I want to create a table for several variables. As example. I have a dataframe with following data: Gender transport driving 1 0 1 0 1 0 1 0 1 Now I want to create a table in the following form: Gender

I am attempting to produce crosstabulations between two variables for subgroups defined by a third factor variable. I'm using by() and CrossTable() in package gmodels. I get the printing of the tables first and then a printing of each level of the INDICES. For example: library(gmodels) by(warpbreaks, warpbreaks$tension, function(x){CrossTable(x$wool, x$breaks > 30,

Dear list. New to R, I'm looking for a way of using crosstab to output low-dimensional (higher than 2) contingency tables (frequencies, per-cents by rows, % by columns, mean, quantiles....) I'm looking for something of the following sort dataframe: singers, categorical variates: voice category (soprano,mezzo-soprano, ...) , voice type( drammatic, spinto, lirico-spinto, lirico,

...ot;,"boot","bootstrap","bqtl","BradleyTerry","brlr","BRugs","BSDA","BsMD","butler","calibrate","calibrator","caMassClass","car","cat","caTools","catspec","cba","cclust","CDNmoney","cfa","CGIwithR","changeLOS","chplot","chron","CircStats","circular","clac","class","classInt","classPP","clim.pact",...

Hi, I'm new to R, and I'm STATA user before, could you help me where I can get document about comparison command between STATA and R. Thank you very much, Best regards, -iip-

...t to analyse, build your regulated time series, perform analysis and read the results all in one easy to use interface. Statistical analysis call other package function such as Kendall tests (wq package) or cusum function (Pastec package). Updated packages ---------------- bnlearn (2.9), catspec (0.96), cda (1.1.3), clue (0.3-44), coin (1.0-21), crs (0.15-13), cvTools (0.3.0), Deducer (0.6-2), directlabels (2.4), doRNG (1.2.1), dplR (1.5.3), DSL (0.1-1), eqtl (1.1-7), ergm (3.0-1), ergm.userterms (3.0-1), fda.usc (0.9.6), frailtypack (2.2-22), games (1.0-5), gdsfmt (0.9.6), geosphere (1.2-...

...i (0.7), automap (1.0-7), bayesmix (0.7-1), bbmle (0.9.5.1), bcp (2.2.0), bear (2.5.3), bibtex (0.2-0), bifactorial (1.4.4), bigmemory (4.2.3), binGroup (1.0-5), biOps (0.2.1.1), bipartite (1.12), blighty (3.1-0), bnlearn (2.1.1), bootruin (1.0-156), brglm (0.5-5), cairoDevice (2.13), caret (4.43), catspec (0.95), cgh (1.0-7.1), cluster (1.13.1), clusterSim (0.38-1), cmprskContin (1.6), coarseDataTools (0.2), coin (1.0-12), copula (0.9-7), corrplot (0.30), cshapes (0.2-4), ctv (0.6-0), cudaBayesreg (0.3-6), dagR (1.1.1), data.table (1.4.1), dclone (1.1-0), ddesolve (1.04), denstrip (1.5), depmixS4 (0...