| dunif_rvec {rvec} | R Documentation | 
Uniform Distribution, Using Multiple Draws
Description
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  | 
| max | Upper limited. Default is  | 
| log,log.p | Whether to return results
on a log scale. Default is
 | 
| q | Quantiles. Can be an rvec. | 
| lower.tail | Whether to return
 | 
| 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 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 
Value
- If any of the arguments are rvecs, or if a value for - n_drawis supplied, then an rvec
- Otherwise an ordinary R vector. 
See Also
Examples
x <- rvec(list(c(0.2, 0.5),
               c(0.6, 0.7)))
dunif_rvec(x)
punif_rvec(x)
runif_rvec(n = 2,
           min = c(0, 0.5),
           n_draw = 1000)