Assign Observations to Bivariate Quadrants

Splits observations by a cut on each of two columns. With the default labels, `"I"` is x and y both at or above their cuts, `"II"` x below and y at or above, `"III"` both below and `"IV"` x at or above and y below (the mathematical numbering). A value exactly on a cut belongs to the "at or above" side.

Usage

classify_quadrants(
  data,
  x_col,
  y_col,
  x_cut = 0,
  y_cut = 0,
  labels = c("I", "II", "III", "IV"),
  quadrant_col = "quadrant"
)

Arguments

data

A data frame.

x_col, y_col

Names of the two numeric columns.

x_cut, y_cut

Cut values (default 0).

labels

Four labels in the order above.

quadrant_col

Name of the new factor column. Rows with a missing x or y get `NA`.

Value

`data` as a tibble with the added factor column (all four levels kept).

See also

[tbl_quadrant_distribution()], [quadrant_n()]

Examples

d <- classify_quadrants(mtcars, "wt", "mpg", x_cut = 3.2, y_cut = 20)
table(d$quadrant)
#> 
#>   I  II III  IV 
#>   1  13   2  16