R: Optimal Number Of Bins

OptimalNoBins {DataVisualizations} | R Documentation

## Optimal Number Of Bins

### Description

Optimal Number Of Bins is a kernel density estimation for fixed intervals.

Calculation of the optimal number of bins for a histogram.

### Usage

    OptimalNoBins(Data)

### Arguments

`Data` | Data

### Details

The bin width ist defined with bw=3.49*stdrobust(1/(n)^1/3)

### Value

optNrOfBins The best possible number of bins. Not less than 10 though

### Note

This the second version of the function prior available in AdaptGauss

### Author(s)

Alfred Ultsch, Michael Thrun

### References

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

### Examples

    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)

[Package DataVisualizations version 1.2.3 Index]