q: Quantile Function

In mistr: Mixture and Composite Distributions

Quantile Function

Description

q is a generic function that evaluates the quantile function of a distribution object at given values.

Usage

## S3 method for class 'compdist'
q(O, p, lower.tail = TRUE, log.p = FALSE, ...)

q(O, p, lower.tail = TRUE, log.p = FALSE, ...)

## S3 method for class 'standist'
q(O, p, lower.tail = TRUE, log.p = FALSE, ...)

## S3 method for class 'trans_univdist'
q(O, p, lower.tail = TRUE, log.p = FALSE, ...)

Arguments

O	distribution object.
p	vector of probabilities.
lower.tail	logical; if TRUE, probabilities are P[X ≤ x] otherwise, P[X > x], default: TRUE.
log.p	logical; if TRUE, probabilities p are given as log(p), default: FALSE.
...	further arguments to be passed.

Details

Methods of q function evaluates any offered distribution from package mistr. The function makes use of the q[sufix] functions as qnorm or qbeta and thus, if a new distribution is added, these functions must be reachable through the search path.

The mixture method q.mixdist and the default method q.default have its own help page.

Value

Vector of computed results.

Examples

N <- normdist(1, 3)
q(N, c(NA, 1, 3, 5))

C <- cauchydist()
CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1)
CCC <- 2*C+5
q(CCC, c(NA, 1, 3, 5))

mistr documentation built on March 7, 2023, 7:42 p.m.