Density, distribution function, quantile function and random generation for the Weibull distribution, modified to work with rvecs.
Usage
dweibull_rvec(x, shape, scale = 1, log = FALSE)
pweibull_rvec(q, shape, scale = 1, lower.tail = TRUE, log.p = FALSE)
qweibull_rvec(p, shape, scale = 1, lower.tail = TRUE, log.p = FALSE)
rweibull_rvec(n, shape, scale = 1, n_draw = NULL)Arguments
- x
Quantiles. Can be an rvec.
- shape
Shape parameter. See
dweibull(). Can be an rvec.- scale
Scale parameter. See
dweibull()Default is1. 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_drawis supplied, then an rvec; otherwise an ordinary R vector.
Details
Functions dweibull_rvec(), pweibull_rvec(),
pweibull_rvec() and rweibull_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 rweibull_rvec() also returns an
rvec if a value for n_draw is supplied.
dweibull_rvec(), pweibull_rvec(),
pweibull_rvec() and rweibull_rvec()
use tidyverse
vector recycling rules:
Vectors of length 1 are recycled
All other vectors must have the same size
See also
dweibull(),pweibull(),qweibull(),rweibull()Base R equivalentsdistributions All base R distributions
Examples
x <- rvec(list(c(3.2, 4.5),
c(0.6, 0.7)))
dweibull_rvec(x, shape = 2)
#> <rvec_dbl<2>[2]>
#> [1] 0.0002286,0.00000001445 0.8372,0.8577
pweibull_rvec(x, shape = 2)
#> <rvec_dbl<2>[2]>
#> [1] 1,1 0.3023,0.3874
rweibull_rvec(n = 2,
shape = c(2, 3),
n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 0.82 (0.18, 2) 0.88 (0.28, 1.5)