Thanks for your reply Sharpie. I completely understand that it may not be the best to go with muti-panel pie charts, but my group would like to have this utility along with barplot/dotplot (may be, using it for proportions data). Thanks,
~Gurmeet On Wed, Mar 24, 2010 at 3:38 PM, Sharpie <ch...@sharpsteen.net> wrote: > > > Gurmeet wrote: > > > > Hi All, > > > > I'm trying to find out a way to plot multi-panel pie charts. It may not > be > > the best way to present data, but I would still need one. > > > > Would paneled bar charts not suffice? > > I don't mean to be harsh, but the only situation I can think of where I > would consider a pie chart would be if I wanted to take advantage of the > fact that people are worse at judging differences in area than they are at > judging differences in length in order to hide some trend in my data. > > Anyway, the following code uses ggplot2 to produce a paneled bar plot from > your data: > > require( ggplot2 ) > > productData <- structure(list(variable = structure(c(1L, 1L, 1L, 1L, 2L, > 2L, > 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L), .Label = c("ProdA", > "ProdB", "ProdC", "ProdD"), class = "factor"), month = structure(c(3L, > 2L, 4L, 1L, 3L, 2L, 4L, 1L, 3L, 2L, 4L, 1L, 3L, 2L, 4L, 1L), .Label = > c("Apr", > "Feb", "Jan", "Mar"), class = "factor"), value = c(25, 30, 25, > 10, 25, 30, 50, 40, 40, 30, 20, 40, 10, 10, 5, 10)), .Names = > c("variable", > "month", "value"), class = "data.frame", row.names = c(NA, -16L)) > > productPlot <- qplot( variable, value, data = productData, geom = 'bar', > xlab = 'Product', ylab = 'Percentage' ) + > facet_wrap( ~ month ) + > theme_bw() > > print( productPlot ) > > > I know it's not what you want, but I personally need a strong argument for > generating pie charts before I would perpetuate their use. > > > > Gurmeet wrote: > > > > > > 1. Is anyone aware of some in-built script/function which can do this for > > me. I'm aware of one given in Deepayan's book, but anything apart from > > this? > > > > > > 2. I tried using Deepayan's script on following data set but it doesn't > > seem > > to work as expected - labels are getting repeated/overlapping. I'm really > > not sure what could be the problem, can anyone help please. I hope data > is > > in the right format, as expected. > > > > Data read into object "foo": > > > > variable month value > > ProdA Jan 25 > > ProdA Feb 30 > > ProdA Mar 25 > > ProdA Apr 10 > > ProdB Jan 25 > > ProdB Feb 30 > > ProdB Mar 50 > > ProdB Apr 40 > > ProdC Jan 40 > > ProdC Feb 30 > > ProdC Mar 20 > > ProdC Apr 40 > > ProdD Jan 10 > > ProdD Feb 10 > > ProdD Mar 5 > > ProdD Apr 10 > > > > {SNIP} > > > > Thanks in advance, > > Gurmeet > > > > Providing data as a printed table, like you did, is not the most effective > way to transmit example data on this list. There are two major > disadvantages: > > * Tabulated data often gets mangled in email > > * Tabulated data can not be copied and pasted directly into R to > regenerate the example data.frame- it takes me ~4 minutes of mucking around > with Excel to regenerate a .csv file that R can ingest. This added time > will limit the number of people who will attempt to investigate your > problem. > > The best way to transmit the contents of a data frame is to paste the > output > of the dput() function. This function dumps the data frame to an R command > that can be simply copied and pasted into a R session to regenerate the > data.frame. The results of dput is the structure() command I used in my > example above. > > > Hope this helps in some way! > > -Charlie > > ----- > Charlie Sharpsteen > Undergraduate-- Environmental Resources Engineering > Humboldt State University > -- > View this message in context: > http://n4.nabble.com/Multi-panel-Pie-Charts-tp1687026p1689524.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ 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.