similar to: barplot with vcd library

I have a 'cat' function within a for loop. I would like it to print out the result everytime it goes through the for loop so that I can monitor the progress, but it only prints out (execute the cat function) once at the very end of the for loop. A simple example: for(i in 1:100000){ cat(i, '\n') } What should I do in order for the cat function to be executed everytime it goes

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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 >

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

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

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 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

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

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

Dear all, I have a dataset. I want to make barplot from this data. Zero1 <- " V1 V2 V3 V4 V5 V6 V7 V8 V9 1 1 0 0 0 1 0 0 0 Positive 2 0 0 1 0 1 0 1 1 Negative 3 0 0 1 0 0 0 1 1 Positive 4 0 1 0 1 1 1 0 1 Negative 5 0 0 1 0 1 1 0 0 Positive 6 0 1 0 0 1 1 1 1 Negative 7 1 0 1 1 1 1 1 1 Negative 8 0 0 0 0 1 0 0 1

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

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

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

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

This dataset below is one sample answer the questioner from our customer. > testbank <- read.table("testbank.txt", header=T) > testbank age married income gender ownhouse class 1 20-30 no high female yes 1st 2 30-40 no high female yes 1st 3 40-50 no low female yes 1st 4 50-60 no high female yes 1st 5 60-70