BimodalityAmplitude: Bimodality Amplitude In DataVisualizations: Visualizations of High-Dimensional Data

Description

Computes the Bimodality Amplitude of [Zhang et al., 2003]

Usage

 `1` ```BimodalityAmplitude(x, PlotIt=FALSE) ```

Arguments

 `x` Data vector. `PlotIt` FALSE, TRUE if a figure with the antimodes and peaks is plotted

Details

This function calculates the Bimodality Ampltiude of a data vector. This is a measure of the proportion of bimodality and the existence of bimodality. The value lies between zero and one (that is: [0,1]) where the value of zero implies that the data is unimodal and the value of one implies the data is two point masses.

Note

function was rewritten after the flow of a function of Sathish Deevi because the original function was incorrect.

Michael Thrun

References

Zhang, C., Mapes, B., & Soden, B.: Bimodality in tropical water vapour, Quarterly Journal of the Royal Meteorological Society, Vol. 129(594), pp. 2847-2866, 2003.

Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22``` ```#Example 1 data<-c(rnorm(299,0,1),rnorm(299,5,1)) BimodalityAmplitude(data,TRUE) #Example 2 dist1<-rnorm(2100,5,2) dist2<-dist1+11 data<-c(dist1,dist2) BimodalityAmplitude(data,TRUE) #Example 3 dist1<-rnorm(210,-15,1) dist2<-rep(dist1,3)+30 data<-c(dist1,dist2) BimodalityAmplitude(data,TRUE) #Example 4 data<-runif(1000,-15,1) BimodalityAmplitude(data,TRUE) ```

DataVisualizations documentation built on Jan. 16, 2021, 5:45 p.m.