OptimalNoBins {DataVisualizations} | R Documentation |
Optimal Number Of Bins is a kernel density estimation for fixed intervals.
Calculation of the optimal number of bins for a histogram.
OptimalNoBins(Data)
Data |
Data |
The bin width ist defined with bw=3.49*stdrobust(1/(n)^1/3)
optNrOfBins The best possible number of bins. Not less than 10 though
This the second version of the function prior available in AdaptGauss
Alfred Ultsch, Michael Thrun
David W. Scott Jerome P. Keating: A Primer on Density Estimation for the Great Home Run Race of 98, STATS 25, 1999, pp 16-22.
See Also
ParetoRadius
Data = c(rnorm(1000),rnorm(2000)+2,rnorm(1000)*2-1)
optNrOfBins = OptimalNoBins(Data)
minData = min(Data,na.rm = TRUE)
maxData = max(Data,na.rm = TRUE)
i = maxData-minData
optBreaks = seq(minData, maxData, i/optNrOfBins) # bins in fixed intervals
hist(Data, breaks=optBreaks)