Dear Kimmo, It doesn't appear that anyone has yet mentioned pareto.chart() in the qcc package; it may serve your purposes. Please note that it does not require the data frame to be ordered beforehand.
x <- DATA[[2]] names(x) <- DATA[[1]] library(qcc) pareto.chart(x) Best wishes, Jay On Feb 3, 2008 11:53 AM, Deepayan Sarkar <[EMAIL PROTECTED]> wrote: > > On 2/3/08, K. Elo <[EMAIL PROTECTED]> wrote: > > Hi, > > > > I have a small problem when using barchart. I have the following data: > > > > letters a > > 6 f 18 > > 1 a 15 > > 10 j 12 > > 9 i 12 > > 4 d 9 > > 5 e 6 > > > > The data is from a survey and summaries the alternatives selected in one > > question. The idea is to have a bar chart illustrating the count of > > each selection in descending order. The data frame is already ordered > > in descending order. Thus, the chart _should_ look like this: > > f |xxxxxxxxxxxxxxxxxx > > a |xxxxxxxxxxxxxxx > > j |xxxxxxxxxxxx > > i |xxxxxxxxxxxx > > d |xxxxxxxxx > > e |xxxxxx > > > > But if I use the command: > > > barchart(DATA[[2]] ~ DATA[[1]]) > > > > The bars are displayed in alphabetical order. > > > > How could I get the graph I would like to have? > > You have the choice of > > (1) ordering the levels by their appearance in DATA > > (2) ordering them in increasing order of 'a' (irrespective of original order) > > For (1), you should use the 'levels' argument of factor(). For (2), > the reorder() function is helpful, and more general for your use (but > note that it's first argument already has to be a factor). > > Assuming that DATA is a data frame and the 'letters' variable is > already a factor, you could try > > barchart(factor(letters, levels = unique(letters) ~ a, data = DATA) > > or > > barchart(reorder(letters, a) ~ a, data = DATA) > > I would also encourage you to use 'origin = 0', or if you don't like > that, use dotplot() instead of barchart(). > > -Deepayan > > > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- *************************************************** G. Jay Kerns, Ph.D. Assistant Professor / Statistics Coordinator Department of Mathematics & Statistics Youngstown State University Youngstown, OH 44555-0002 USA Office: 1035 Cushwa Hall Phone: (330) 941-3310 Office (voice mail) -3302 Department -3170 FAX E-mail: [EMAIL PROTECTED] http://www.cc.ysu.edu/~gjkerns/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
