Piechart function

The pie chart

the pie chart represents amount of values given in data.

Piechart(Datavector,Names,Labels,MaxNumberOfSlices,
main='',col,Rline=1,...)

Arguments

• Datavector: [1:n] a vector of n non unique values
• Names: Optional, [1:k] names to search for in Datavector, if not set unique of Datavector is calculated.
• 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 Other.
• main: Optional, title below the fan pie, see plot
• 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 plot
• Rline: Optional, the radius of the pie in numerical numbers
• ...: Optional, further arguments passed on to plot

Details

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.

Returns

silent output by calling invisible of a list with - Percentages: [1:k] percent values visualized in fanplot

• Labels: [1:k] see input Labels, only relevant ones

References

[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.

Author(s)

Michael Thrun

Note

You see in the example below that a pie chart does not visualize such data well contrary to the fanPlot.

Examples

data(categoricalVariable)
Piechart(categoricalVariable)