similar to: new package "vcd" 0.1-3

Dear useRs, a new version of the vcd package (0.9-5) is now available from CRAN. Apart from (a lot of) bug fixes, it includes the following new features (some of them have '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

Dear useRs, a new version of the vcd package (0.9-5) is now available from CRAN. Apart from (a lot of) bug fixes, it includes the following new features (some of them have '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

Dear useRs, a completely revised version of the `vcd' ("Visualizing Categorical Data") package is now available from CRAN. This major revision includes the following enhancements: * grid-based: The package is now entirely based on `grid', the new R graphics system, thus exploiting its unique functionalities. Powered by grid, it is now possible, e.g., to simply compose complex

Dear useRs, a completely revised version of the `vcd' ("Visualizing Categorical Data") package is now available from CRAN. This major revision includes the following enhancements: * grid-based: The package is now entirely based on `grid', the new R graphics system, thus exploiting its unique functionalities. Powered by grid, it is now possible, e.g., to simply compose complex

I'm pleased to announce the release of the vcdExtra package, v. 0.5-0 from R-Forge to CRAN, on its way to a CRAN server near you. vcdExtra was originally designed to serve as a sandbox for introducing extensions of mosaic plots and other visualizations for categorical data, particularly those that apply to (poisson surrogate) loglinear models fitted using glm() and related, generalized

require(vcd) mosaic(matrix(1:6, 2, 3), gp=gpar(fill=c("red","gray","blue")), main="three colors in each row") mosaic(matrix(1:3, 1, 3), gp=gpar(fill=c("red","gray","blue")), main="only one color in each row") I anticipated three colors in the second plot. My guess is that there is a matrix subscript without

Hello: What is the most efficient way to change the plotted variable names in mosaic plots in the vcd package? Should one do a separate contingency table first, change the dimension names there and then pass that to mosaic? Or is there a way to do it simply within mosaic. I was thinking something like: mosaic(~var1+var2, labelling_args=list(varnames=c('newvar1', 'newvar2')) Simon

I'm trying to find a way to change the font size in a mosaic plot (the grid version, not the base graphics one). Here's an example to demonstrate: #Basic plot library(vcd) mosaic(HairEyeColor, shade = TRUE) #Bad first guess: this stops the default cell colouring, and doesn't change the font size mosaic(HairEyeColor, shade = TRUE, gp=gpar(fontsize=16)) #This successfully changes

Hi, I like mosaic function of "vcd" package. I have played around it. I have found out that mosaic plot data table is 2-dimension does not stretch when you enlarge a mosaic plot. It is okay when data table is 3 or more dimension. The first one is of 3-dimension table case, and the second one is 2-dimension. With the first plot, you can drag window to enlarge a plot. With the

Dear all, I have a problem to make figures with two columns in package vcd. Here an example code I take from "\library\vcd\html\plot.loglm.html" What I need, I want to make two figures in one plot. How could I do that. I have tried with layout(rbind(c(1, 1, 2, 2))) but the same result, two plot. Best wishes, Muhammad Subianto library(vcd) oldpar <- par(mfrow=c(1, 2)) ## mosaic

helpeRs, I have a nice looking mosaic plot in an article to be published soon. Sadly, the published version will be in black and white and so ruin the advantage of the default shading scheme of tiles. What would readers suggest as an alternative shading scheme? If I have a black-and-white shading scheme graduated according to suitable cutoffs I won't be able to tell positive from

Hello, I'm trying to use the vcd package to analyze survey data. Expert judges ranked possible features for product packaging. Seven features were listed, and 19 judges split between 2 cities ranked them. The following code (1) works, but the side-by-side plots for Cities PX, SF are shrunk too much. Stacking PX on top of SF would make for a better plot. (I could switch the order of

Hi, I want to have a horizontal line on a mosaic plot with "vcd" package. This would give me an idea where is 0.5 proportion in a cell. Using "mosaicplot" function of "graphics" package, I can draw a line using "abline." But, with "mosaic" function of "vcd" package, I have tried to use "abline" function, which complains

Hello. I've been using R for a couple of months and enjoying it a lot. This is my first post to R-help. I'm using the vcd package to make mosaic plots with labels on the tiles indicating the number of items in each cell. For example, I've made this plot: > allmorph<-structure(c(10, 26, 17, 100, 70, 97, 253, 430, 185, 177, > 25, 1), .Dim = as.integer(c(6, 2)), .Dimnames

I'm trying to test an extension of mosaic() from the vcd package that requires a change to the basic strucplot() function from that package. I want to test my change by sourcing the replacement function into my R session. But when I do that, source("c:/R/mosaics/strucplot-MF.R") and run my extension, it is apparent that it is vcd:::strucplot that is eventually called, not my

I would like to display multiple mosaic plots from vcd (not defined by a model but derived from different data sets) side by side. Neither par(mfrow=...) nor layout seem to allow to arrange multiple mosaic plots in a grid. Is there an easy way of arranging mosaics in a grid?

I'm trying to use the vcd package to produce mosaic plots for my class notes, written in Sweave and using the LaTeX's beamer document class. For projecting the notes in class, I use a dark background with light foreground colors. It's easy enough to change the defaults for R's standard graphics to match my color scheme (using the fg, col.axis, col.lab, col.main, and col.sub

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

Talking about Excel, you can produce excellent graphs in Excel. Yes you have to work at it, but you can get there. The problem is that they are not the default. My gut feeling is that R will make more of an impact in the presentation of graphics than any implementation in Excel. So even if a patent were granted and it made itself into a mainstream package, would it change the world or would the

Hello, my dataset is already aggregated: I have two categorical variables, say "continent" and "country" and one non-negative metric variable "population". Now I would like to produce a mosaic plot which uses "population" to determine how large each area of the plot is. In other words, I fail to find out - how to use the mosaic function of the vcd package