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Uniform Distribution, Using Multiple Draws

Source: R/distributions.R
dunif_rvec.Rd

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

Usage

dunif_rvec(x, min = 0, max = 1, log = FALSE)

punif_rvec(q, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE)

qunif_rvec(p, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE)

runif_rvec(n, min = 0, max = 1, n_draw = NULL)

Arguments

x

Quantiles. Can be an rvec.

min

Lower limits. Default is 0. See stats::dunif(). Can be an rvec.

max

Upper limited. Default is 1. See stats::dunif(). 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 dunif_rvec(), punif_rvec(), punif_rvec() and runif_rvec() work like base R functions dt(), pt(), qt(), and rt(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function runif_rvec() also returns an rvec if a value for n_draw is supplied.

dunif_rvec(), punif_rvec(), punif_rvec() and runif_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(0.2, 0.5),
               c(0.6, 0.7)))
dunif_rvec(x)
#> <rvec_dbl<2>[2]>
#> [1] 1,1 1,1
punif_rvec(x)
#> <rvec_dbl<2>[2]>
#> [1] 0.2,0.5 0.6,0.7

runif_rvec(n = 2,
           min = c(0, 0.5),
           n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.49 (0.021, 0.98) 0.76 (0.52, 0.99)