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Geometric Distribution, Using Multiple Draws

Source: R/distributions.R
dgeom_rvec.Rd

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

Usage

dgeom_rvec(x, prob, log = FALSE)

pgeom_rvec(q, prob, lower.tail = TRUE, log.p = FALSE)

qgeom_rvec(p, prob, lower.tail = TRUE, log.p = FALSE)

rgeom_rvec(n, prob, n_draw = NULL)

Arguments

x

Quantiles. Can be an rvec.

prob

Probability of success in each trial. See dgeom(). 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.

  • Unlike base rgeom(), rgeom_rvec() always returns doubles.

Details

Functions dgeom_rvec(), pgeom_rvec(), pgeom_rvec() and rgeom_rvec() work like base R functions dgeom(), pgeom(), qgeom(), and rgeom(), except that they accept rvecs as inputs. If any input is an rvec, then the output will be too. Function rgeom_rvec() also returns an rvec if a value for n_draw is supplied.

dgeom_rvec(), pgeom_rvec(), pgeom_rvec() and rgeom_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),
               c(0, 2)))
dgeom_rvec(x, prob = 0.3)
#> <rvec_dbl<2>[2]>
#> [1] 0.1029,0.05042 0.3,0.147     
pgeom_rvec(x, prob = 0.3)
#> <rvec_dbl<2>[2]>
#> [1] 0.7599,0.8824 0.3,0.657    

rgeom_rvec(n = 2,
           prob = c(0.5, 0.8),
           n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0 (0, 6) 0 (0, 2)