dexp_rvec {rvec}

The Exponential Distribution, Using Multiple Draws

Description

Density, distribution function, quantile function and random generation for the exponential distribution, modified to work with rvecs.

Usage

dexp_rvec(x, rate = 1, log = FALSE)

pexp_rvec(q, rate = 1, lower.tail = TRUE, log.p = FALSE)

qexp_rvec(p, rate = 1, lower.tail = TRUE, log.p = FALSE)

rexp_rvec(n, rate = 1, n_draw = NULL)

Arguments

x

Quantiles. Can be an rvec.

rate

Vector of rates. See stats::dexp(). Can be an rvec.

log, log.p

Whether to return results on a log scale. Default is FALSE. Cannot be an rvec.

q

Quantiles. Can be an rvec.

lower.tail

Whether to return P[X \le x], as opposed to P[X > x]. Default is TRUE. Cannot be an rvec.

p

Probabilities. Can be an rvec.

n

The length of random vector being created. Cannot be an rvec.

n_draw

Number of random draws in the random vector being created. Cannot be an rvec.

Details

Functions dexp_rvec(), pexp_rvec(), pexp_rvec() and rexp_rvec() work like base R functions dexp(), pexp(), qexp(), and rexp(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rexp_rvec() also returns an rvec if a value for n_draw is supplied.

dexp_rvec(), pexp_rvec(), pexp_rvec() and rexp_rvec() use tidyverse vector recycling rules:

• Vectors of length 1 are recycled

• All other vectors must have the same size

Value

• If any of the arguments are rvecs, or if a value for n_draw is supplied, then an rvec

• Otherwise an ordinary R vector.

See Also

• dexp()

• pexp()

• qexp()

• rexp()

• stats::distributions.

Examples

x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
dexp_rvec(x, rate = 1.5)
pexp_rvec(x, rate = 1.5)

rexp_rvec(n = 2,
          rate = c(1.5, 4),
          n_draw = 1000)