Conditional Distributions — slice

slice_left() removes probability to the left of some breakpoint, conditioning the random variable to be bigger than the breakpoint. slice_right() does the opposite: removes probability to the right, conditioning to be smaller than the breakpoint.

Usage

slice_left(distribution, breakpoint, include = TRUE, ...)

slice_right(distribution, breakpoint, include = TRUE, ...)

Arguments

distribution: Distribution to slice.
breakpoint: Point at which to slice (single numeric).
include: Logical; should the breakpoint be removed as well? This is only realistically relevant if the breakpoint has a non-zero probability of occurrence.
...: Other arguments to pass to specific methods. Currently unused.

Value

A conditional distribution.

Examples

library(magrittr)
distionary::dst_norm(0, 1) %>%
  slice_left(-2) %>%
  slice_right(2) %>%
  distionary::enframe_cdf(at = -3:3)
#> # A tibble: 7 × 2
#>    .arg   cdf
#>   <int> <dbl>
#> 1    -3 0    
#> 2    -2 0    
#> 3    -1 0.142
#> 4     0 0.5  
#> 5     1 0.858
#> 6     2 1    
#> 7     3 1    

d <- distionary::dst_empirical(c(2, 5, 6, 9, 11))
d %>%
  slice_left(5) %>%
  distionary::eval_pmf(at = 5)
#> [1] 0
d %>%
  slice_left(5, include = TRUE) %>%
  distionary::eval_pmf(at = 5)
#> [1] 0