Processing math: 100%

Density, distribution function, quantile function and random generation for point distribution.

dpoint(x, location, log = FALSE)

rpoint(n, location)

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

qpoint(p, location, lower.tail = TRUE, log.p = FALSE)

Arguments

x, q

vector or matrix of quantiles.

location

vector of locations.

log, log.p

logical; if TRUE, probabilities p are given as log(p).

n

number of observations.

lower.tail

logical; if TRUE (default), probabilities are P[Xx], otherwise, P[Xx].

p

vector of probabilities.

Value

dpoint gives the density, ppoint gives the distribution function, qpoint gives the quantile function, and rpoint generates random deviates.

Examples

# draw samples from a point distribution
rpoint(10, location = 1)
#>  [1] 1 1 1 1 1 1 1 1 1 1