Parallel Minima and Maxima with Rvecs

Compare corresponding elements independently within each draw. Unlike min() and max(), these functions do not summarise across elements.

Usage

pmin(..., na.rm = FALSE)

pmax(..., na.rm = FALSE)

Arguments

...

Rvecs or ordinary vectors. With an rvec argument, ordinary inputs must be unclassed logical, integer, double, or character vectors (or NULL). An rvec may occur in any argument position.

na.rm

Whether to ignore missing values. If all corresponding values are missing, the result is still missing.

Value

An rvec if any argument is an rvec, otherwise the result of base::pmin() or base::pmax(). Names come from the first argument.

Details

With rvec arguments, element lengths must agree or be one. Draw counts must also agree or be one. Ordinary vectors are repeated across draws. This uses rvec's usual size rules rather than base R's fractional recycling. Missing values, infinities, and type promotion follow the base calculation on each draw. Matrices and other classed objects are not supported alongside rvecs. Calls without rvecs are passed unchanged to the base functions.

These wrappers mask the base functions when rvec is attached. Explicit calls to base::pmin() or base::pmax() do not use the wrappers.

Examples

x <- rvec(rbind(a = c(-2, 3), b = c(4, -1)))
pmax(x, 0)
#> <rvec_dbl<2>[2]>
#>   a   b 
#> 0,3 4,0 
pmax(0, x)
#> <rvec_dbl<2>[2]>
#> [1] 0,3 4,0
pmin(pmax(x, 0), 1)
#> <rvec_dbl<2>[2]>
#>   a   b 
#> 0,1 1,0