compQ-methods: Method 'compQ'

In Airpino/HistDAWass: Histogram-Valued Data Analysis

Method compQ

Description

Compute the quantile value of a histogram for a given probability.

Usage

compQ(object, p)

## S4 method for signature 'distributionH,numeric'
compQ(object, p)

Arguments

object	an object of distributionH class
p	a number between 0 and 1

Value

y= F^{-1}(p)=Q(p)

A number that is the quantile of the passed histogram object at level p.

Author(s)

Antonio Irpino

Examples

## ---- A mydist distribution ----
mydist <- distributionH(x = c(1, 2, 3, 10), p = c(0, 0.1, 0.5, 1))
## ---- Compute the quantile of mydist for different values of p ----
y <- compQ(mydist, 0.5) # the median
y <- compQ(mydist, 0) # the minimum
y <- compQ(mydist, 1) # the maximum
y <- compQ(mydist, 0.25) # the first quartile
y <- compQ(mydist, 0.9) # the ninth decile

Airpino/HistDAWass documentation built on Jan. 30, 2024, 7:53 p.m.