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The Exponential Distribution, Using Multiple Draws

Source: R/distributions.R
dexp_rvec.Rd

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.

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.

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

See also

Examples

x <- rvec(list(c(3, 5.1),
               c(0.1, 2.3)))
dexp_rvec(x, rate = 1.5)
#> <rvec_dbl<2>[2]>
#> [1] 0.01666,0.0007141 1.291,0.04762    
pexp_rvec(x, rate = 1.5)
#> <rvec_dbl<2>[2]>
#> [1] 0.9889,0.9995 0.1393,0.9683

rexp_rvec(n = 2,
          rate = c(1.5, 4),
          n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.47 (0.022, 2.4)   0.17 (0.0075, 0.93)