search for: spinograms

Dear all, I wonder what's special about spinograms {vcd} that prevents me from using it the way I do with other plots. I do: > spine(f.speaker.identity ~ x.log.lengthening, > data=ms,breaks=45,gp=gpar(fill=c("red","green")),xlab="length difference > (log ms)",ylab="speaker") > curve(0*x,add=...

Hello, I am using the party module to estimate the relationship between the probability of being a student and number of siblings (alive). However, I need to include a number of relevant covariates. My code is below: fm3 <- mob(Student ~ age + alive + sex2 + cwa + cha + cym | Religion+Servant + Literacy, control = ctrl, data = samp2, model = glinearModel, family =binomial()) plot(fm3, tp_args

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...'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on using/extending shading and labeling functions * New function spine() for spinograms and spine plots * New function cd_plot() for conditional density plots * New function cotabplot() for visualizing conditional independence in a trellis-like layout, providing panel functions for association, mosaic, and sieve plots * Sieve plots are now integrated in the strucplot framework...

...'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on using/extending shading and labeling functions * New function spine() for spinograms and spine plots * New function cd_plot() for conditional density plots * New function cotabplot() for visualizing conditional independence in a trellis-like layout, providing panel functions for association, mosaic, and sieve plots * Sieve plots are now integrated in the strucplot framework...

Dear all, I am quite new with R and I have a problem with plotting a binomial regression line in a plot. This is what I type in: > model<-glm(Para~Size,binomial) > par(mfrow=c(1,1)) > xv<-seq(3.2,4.5,0.01) > yv<-predict(model,list(area=xv),type="response") > plot(Size,Para) > lines(xv,yv) The error message that I get is: > Error in xy.coords(x, y) :

...based on new generic function cbind2(x,y) and rbind2(). This will allow the equivalent of S4 methods for cbind() and rbind() --- currently only after an explicit activation call, see ?cbind2. o New functions cdplot() and spineplot() for conditional density plots and spine plots or spinograms. Spine plots are now used instead of bar plots for x-y scatterplots where y is a factor. o checkDocFiles() in package 'tools' now checks for bad \usage lines (syntactically invalid R code). o The nonparametric variants of cor.test() now behave better in the presence o...

...based on new generic function cbind2(x,y) and rbind2(). This will allow the equivalent of S4 methods for cbind() and rbind() --- currently only after an explicit activation call, see ?cbind2. o New functions cdplot() and spineplot() for conditional density plots and spine plots or spinograms. Spine plots are now used instead of bar plots for x-y scatterplots where y is a factor. o checkDocFiles() in package 'tools' now checks for bad \usage lines (syntactically invalid R code). o The nonparametric variants of cor.test() now behave better in the presence o...