Distribution of Clinical Strata Across Quadrants

Counts of each level of the stratifying variables within each quadrant.

Usage

tbl_quadrant_distribution(
  data,
  quadrant_col = "quadrant",
  strat_vars,
  include_total = TRUE
)

Arguments

data

A data frame with a quadrant column (see [classify_quadrants()]).

quadrant_col

Name of the quadrant column.

strat_vars

Names of the categorical (or logical) variables to count.

include_total

Add a `Total` pseudo-variable with the number of observations per quadrant.

Value

A long tibble with `quadrant`, `variable`, `level`, `n` and `pct` (percent of the quadrant's observations with a non-missing quadrant; missing values of a stratifying variable count in the denominator but have no row). Rows with a missing quadrant are dropped.

See also

[classify_quadrants()], [quadrant_n()]

Examples

d <- classify_quadrants(mtcars, "wt", "mpg", x_cut = 3.2, y_cut = 20)
tbl_quadrant_distribution(d, strat_vars = c("am", "vs"))
#> # A tibble: 20 × 5
#>    quadrant variable level     n    pct
#>    <fct>    <chr>    <chr> <int>  <dbl>
#>  1 I        am       0         1 100   
#>  2 I        am       1         0   0   
#>  3 I        vs       0         0   0   
#>  4 I        vs       1         1 100   
#>  5 I        Total    Total     1 100   
#>  6 II       am       0         3  23.1 
#>  7 II       am       1        10  76.9 
#>  8 II       vs       0         3  23.1 
#>  9 II       vs       1        10  76.9 
#> 10 II       Total    Total    13 100   
#> 11 III      am       0         0   0   
#> 12 III      am       1         2 100   
#> 13 III      vs       0         2 100   
#> 14 III      vs       1         0   0   
#> 15 III      Total    Total     2 100   
#> 16 IV       am       0        15  93.8 
#> 17 IV       am       1         1   6.25
#> 18 IV       vs       0        13  81.2 
#> 19 IV       vs       1         3  18.8 
#> 20 IV       Total    Total    16 100