Calculate with precisely functions across values

map_precisely() is a wrapper around tidyr::crossing() and purrr::pmap_dfr() to give a set of values to any of the calculation functions in precisely. All possible combinations of the values are passed to the function, returning a tibble where each row is the result for each combination.

map_precisely(.f, ...)

Arguments

.f	a function in precisely
...	arguments passed to .f. All possible combinations of argument values are given to the function.

Value

a tibble

Examples

map_precisely(
  n_risk_difference,
  precision = seq(from = .02, to = .20, by = .005),
  exposed = c(.2, .4),
  unexposed = c(.1, .3),
  group_ratio = 1
)
#> # A tibble: 148 × 9
#>    n_exposed n_unexposed n_total risk_difference precision exposed unexposed
#>        <dbl>       <dbl>   <dbl>           <dbl>     <dbl>   <dbl>     <dbl>
#>  1     9604.       9604.  19207.             0.1     0.02      0.2       0.1
#>  2    14213.      14213.  28427.            -0.1     0.02      0.2       0.3
#>  3    12677.      12677.  25354.             0.3     0.02      0.4       0.1
#>  4    17287.      17287.  34573.             0.1     0.02      0.4       0.3
#>  5     6146.       6146.  12293.             0.1     0.025     0.2       0.1
#>  6     9097.       9097.  18193.            -0.1     0.025     0.2       0.3
#>  7     8113.       8113.  16226.             0.3     0.025     0.4       0.1
#>  8    11063.      11063.  22127.             0.1     0.025     0.4       0.3
#>  9     4268.       4268.   8537.             0.1     0.03      0.2       0.1
#> 10     6317.       6317.  12634.            -0.1     0.03      0.2       0.3
#> # … with 138 more rows, and 2 more variables: group_ratio <dbl>, ci <dbl>