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The better alternative to the pie chart represents amount of values given in data.
Fanplot(Datavector,Names,Labels,MaxNumberOfSlices,main='',col,
MaxPercentage=FALSE,ShrinkPies=0.05,Rline=1.1, lwd=2,LabelCols="black",...)
silent output by calling invisible
of a list with
[1:k] percent values visualized in fanplot
[1:k] see input Labels
, only relevant ones
[1:n] a vector of n non unique values
Optional,
[1:k] names to search for in Datavector, if not set unique
of Datavector is calculated.
Optional, [1:k] Labels if they are specially named, if not Names are used.
Default is k, integer value defining how many labels will be shown. Everything else will be summed up to Other
.
Optional, title below the fan pie, see plot
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
default FALSE; if true the biggest slice is 100 percent instead of the biggest procentual count
Optional, distance between biggest and smallest slice of the pie
Optional, the distance between text and pie is defined here as the length of the line in numerical numbers
Optional, The line width, a positive number, defaut is 2
Color of labels
Further arguments to fan.plot
like circumferential positions for the labels labelpos
or additional arguments passed to polygon
Michael Thrun
A normal pie plot is dificult to interpret for a human observer, because humans are not trained well to observe angles [Gohil, 2015, p. 102]. Therefore, the fan plot is used. As proposed in [Gohil 2015] the fan.plot
() of the plotrix
package is used to solve this problem.
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).
Color sequence is automatically shortened to the MaxNumberOfSlices used in the fan plot.
[Gohil, 2015] Gohil, Atmajitsinh. R data Visualization cookbook. Packt Publishing Ltd, 2015.
[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.
fan.plot
Piechart
data(categoricalVariable)
Fanplot(categoricalVariable)
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