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[Experimental]

Calculates the quantile of the Beta difference for a given probability.

Usage

qbetadiff(p, parY, parX, eps = .Machine$double.eps)

Arguments

p

(number):
vector of probabilities

parY

(numeric):
two parameters of Y's Beta distribution (Treatment)

parX

(numeric):
two parameters of X's Beta distribution (Control)

eps

(number):
lowest floating point number as lower bound of integration

Value

The quantile values.

Examples

# The following examples use these parameters:
parX <- c(1, 52)
parY <- c(5.5, 20.5)

# Calculate quantile when at there is at least 20% of difference.
qbetadiff(
  p = 0.2,
  parY = parY,
  parX = parX
)
#> [1] 0.1228383