Gurmeet and I are looking for such utility. It could be helpful!
On Wed, Mar 24, 2010 at 3:46 PM, Gary Miller <mail2garymil...@gmail.com>wrote:
> 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.
>>
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>>
>
>
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