QuantileEstimationMethod
Inspired by Hyndman and Fan (1996) Sample Quantiles in Statistical Packages. The American Statistician, 50, 361-365. DOI:10.1080/00031305.1996.10473566
and https://commons.apache.org/proper/commons-statistics/commons-statistics-descriptive/javadocs/api-1.1/org/apache/commons/statistics/descriptive/Quantile.EstimationMethod.html
They are split in Selecting (where oneBasedIndexOfQuantile gives an exact index of the quantile in a sorted list of type Int) and Interpolating (where oneBasedIndexOfQuantile gives an approximation for that index of type Double). For the Selecting, the Value type can thus be any self-comparable type, but for Interpolating, Value can only be of type Double, because it needs to perform calculations on the values.
TODO https://github.com/Kotlin/dataframe/issues/1121
add R2, R4, R5, R6, R9
make public if configurable for percentile function
Inheritors
Functions
Gives the (1-based) index of the p-quantile for a distribution of size count. If the result h is a whole number, the h'th smallest of the count values is the quantile estimate. If not, h is an estimation of the index of the p-quantile. Rounding or interpolation needs to occur to get the actual quantile estimate.