Density, distribution function, quantile function and random generation for the binomial distribution, modified to work with rvecs.
Usage
dbinom_rvec(x, size, prob, log = FALSE)
pbinom_rvec(q, size, prob, lower.tail = TRUE, log.p = FALSE)
qbinom_rvec(p, size, prob, lower.tail = TRUE, log.p = FALSE)
rbinom_rvec(n, size, prob, n_draw = NULL)Arguments
- x
Quantiles. Can be an rvec.
- size
Number of trials. See
dbinom(). Can be an rvec.- prob
Probability of success in each trial. See
dbinom(). 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 dbinom_rvec(), pbinom_rvec(),
pbinom_rvec() and rbinom_rvec() work like
base R functions dbinom(), pbinom(),
qbinom(), and rbinom(), except that
they accept rvecs as inputs. If any
input is an rvec, then the output will be too.
Function rbinom_rvec() also returns an
rvec if a value for n_draw is supplied.
dbinom_rvec(), pbinom_rvec(),
pbinom_rvec() and rbinom_rvec()
use tidyverse
vector recycling rules:
Vectors of length 1 are recycled
All other vectors must have the same size
See also
distributions All base R distributions
Examples
x <- rvec(list(c(3, 8),
c(0, 2)))
dbinom_rvec(x, size = 8, prob = 0.3)
#> <rvec_dbl<2>[2]>
#> [1] 0.2541,0.00006561 0.05765,0.2965
pbinom_rvec(x, size = 8, prob = 0.3)
#> <rvec_dbl<2>[2]>
#> [1] 0.8059,1 0.05765,0.5518
rbinom_rvec(n = 2,
size = 10,
prob = c(0.7, 0.3),
n_draw = 1000)
#> <rvec_dbl<1000>[2]>
#> [1] 7 (4, 9) 3 (1, 6)