similar to: vcd package --- change layout of plot

Hi List, I am trying unsucessfully to modify the fontsize of lables in mosaic: require(vcd) mosaic(Titanic, pop=FALSE, labeling_args=list(rot_labels=c(bottom=90,top=90), set_varnames = c(Sex = "Gender"), gp_text=gpar(fontsize=20))) #can't get it to resize text tab <- ifelse(Titanic < 6, NA, Titanic) # it works for labeling_cells labeling_cells(text = tab,

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

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

I'm working with the following code below to generate a how do I set the h,c, and l values such that the significant, positive residuals appear different on a grayscale printer from significant grayscale residuals. The challenge as I see it is that one can only distinguish the positive and negative residuals with the hue/. Varying the chroma and the luminance only affect the

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

Hi, I have this data set: obitoss = c( 5.8,17.4,5.9,17.6,5.8,17.5,4.7,15.8, 3.8,13.4,3.8,13.5,3.7,13.4,3.4,13.6, 4.4,17.3,4.3,17.4,4.2,17.5,4.3,17.0, 4.4,13.6,5.1,14.6,5.7,13.5,3.6,13.3, 6.5,19.6,6.4,19.4,6.3,19.5,6.0,19.7) (dados = data.frame( regiao = factor(rep(c('Norte', 'Nordeste', 'Sudeste', 'Sul', 'Centro-Oeste'), each=8)), ano =

Dear all: Is there a way to add text to the margins or outer margins of a mosaic plot using the vcd package? I understand the margins argument to mosaic, but I don't know how to add text to that. I'd like to add a caption to a plot. If possible, I'd like to know how to set the font and size for that function as well. My plot looks roughly as below. Thank you for your time! Simon J.

Hallo I encountered a behaviour which puzzles me (but finally I did get what I wanted). I used structable and strucplot but I wanted to change names of variables in structable object. I tried to subset it, use names but to no avail. So I tried str and expected to get a structure of an object but: > sss<-structable(Titanic) > str(sss) Error in "[.structable"(x, args[[1]],

'barplot' doesn't seem to work with vcd library. Am I supposed to detach vcd when I want to use barplot? Here's an example. Say I have the following matrix, > m <- matrix(c(1,2,3, 4,5,6, 3,4,5, 2,3,4), ncol=4) > m [,1] [,2] [,3] [,4] [1,] 1 4 3 2 [2,] 2 5 4 3 [3,] 3 6 5 4 Then > barplot(m) gives a barplot of the data. However,

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

Is there an upgrate of the vcd library (visualisation of categorical data) for the latest R version? Trying to download it from CRAN I get URL /data/WWW/ftp/pub/R/bin/windows/contrib/r-release/vcd_0.1-3.4.zip was not found on this server. googling it, I found it for instance on http://www.sourcekeg.co.uk/cran/bin/windows/contrib/1.9/ but trying to install it gave me the message >

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, I am trying to use the extended assocplot() function: assoc(), from vcd package. Trouble is that it cannot even run its own examples on my installation. I get this output: $> example(assoc) assoc> data("HairEyeColor") assoc> (x <- margin.table(HairEyeColor, c(1, 2))) Eye Hair Brown Blue Hazel Green Black 68 20 15 5 Brown 119 84 54

I need to plot multiple sets of data, on one Ternary plot (from the VCD package). Since they all need to be formatted differently, I can't just coerce them into one matrix, I need three separate calls. Is there a way to do this? Thanks -- View this message in context: http://www.nabble.com/Plot-multiple-datasets-on-a-VCD-ternary-graph-tp18412092p18412092.html Sent from the R help mailing

Hello, I am looking for a way to convert VCD tracks to theora. I'd rather a command line tool. What would you suggest me? I already found I can do that with mplayer, by ripping to yuv and wav, then using the encoder_example to compress to theora, but would there be another better way? -- ASPO Infog?rance http://aspo.rktmb.org/activites/infogerance Unofficial FAQ fcolc

Hi, I'm trying to get 2x2 (or other layouts) of cd_plot from the vcd package. I have tried the usual commands like layout, par(mfrow...) etc and but cd_plot seems to ignore them and send the plotting window back to 1x1. I have also tried turning off the pop and newpage options in cd_plot but I still can't get multiple cd_plots into a plotting window. Any suggestions would be greatly

I have troubles understanding how goodfit() function in the vcd package computes the Pearson coefficient. Can anybody provide more information on the computation? In particular, for HorseKicks data in vcd package, goodfit() yields > oo <- goodfit(HorseKicks,type="poisson",method="MinChisq") > summary(oo) Goodness-of-fit test for poisson distribution

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

Hello, Sample code: library("vcd") dummy <- rnbinom(200, size=1.5, prob=0.8) gf <- goodfit(dummy, type="nbinomial", method="MinChisq") plot(gf) I would like to: 1. add a lgened stating the bars show the actual counts and the red dots - the fit. 2. show the goodness-of-fit values calculated somewhere on an empty white space ob the plot. But... the legend