Piechart | R Documentation |
the pie chart represents amount of values given in data.
Piechart(Datavector,Names,Labels,MaxNumberOfSlices,
main='',col,Rline=1,...)
Datavector |
[1:n] a vector of n non unique values |
Names |
Optional,
[1:k] names to search for in Datavector, if not set |
Labels |
Optional, [1:k] Labels if they are specially named, if not Names are used. |
MaxNumberOfSlices |
Default is k, integer value defining how many labels will be shown. Everything else will be summed up to |
main |
Optional, title below the fan pie, see |
col |
Optional, the default are the first [1:k] colors of the default color sequence used in this package, otherwise a character vector of [1:k] specifying the colors analog to |
Rline |
Optional, the radius of the pie in numerical numbers |
... |
Optional, further arguments passed on to |
If Number of Slices is higher than MaxNumberOfSlices then ABCanalysis
is applied (see [Ultsch/Lotsch, 2015]) and group A chosen.
If Number of Slices in group A is higher than MaxNumberOfSlices, then the most important ones out of group A are chosen.
If MaxNumberOfSlices is higher than Slices in group A, additional slices are shown depending on the percentage (from high to low).
Parameters of visualization a set as in [Schwabish, 2014] defined.
Color sequence is automatically shortened to the MaxNumberOfSlices used in the pie chart.
silent output by calling invisible
of a list with
Percentages |
[1:k] percent values visualized in fanplot |
Labels |
[1:k] see input |
You see in the example below that a pie chart does not visualize such data well contrary to the fanPlot
.
Michael Thrun
[Schwabish, 2014] Schwabish, Jonathan A. An Economist's Guide to Visualizing Data. Journal of Economic Perspectives, 28 (1): 209-34. DOI: 10.1257/jep.28.1.209, 2014.
[Ultsch/Lotsch, 2015] Ultsch. A ., Lotsch J.: Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data, PloS one, Vol. 10(6), pp. e0129767. doi 10.1371/journal.pone.0129767, 2015.
data(categoricalVariable)
Piechart(categoricalVariable)
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