rQQ-methods: Method 'rQQ'

In HistDAWass: Histogram-Valued Data Analysis

Method rQQ

Description

Quantile-Quantile correlation between two distributions

Usage

rQQ(e1, e2)

## S4 method for signature 'distributionH,distributionH'
rQQ(e1, e2)

Arguments

e1	A distributionH object
e2	A distributionH object

Value

Pearson correlation index between quantiles

Author(s)

Antonio Irpino

References

Irpino, A., Verde, R. (2015) Basic statistics for distributional symbolic variables: a new metric-based approach Advances in Data Analysis and Classification, DOI 10.1007/s11634-014-0176-4

Examples

## ---- initialize two distributionH object mydist1 and mydist2
mydist1 <- distributionH(x = c(1, 2, 3), p = c(0, 0.4, 1))
mydist2 <- distributionH(x = c(7, 8, 10, 15), p = c(0, 0.2, 0.7, 1))
## computes the rQQ
rQQ(mydist1, mydist2)
## OUTPUT 0.916894

HistDAWass documentation built on Sept. 26, 2022, 5:06 p.m.