Constructs a pairwise result for each level of a by variable.

Constructs a pairwise result for each level of a by variable.

Usage

pairwise_by(
  d,
  by,
  pair_fun,
  ungrouped = TRUE,
  warnings = TRUE,
  add.nobs = FALSE
)

Arguments

d

a dataframe

by

a character string for the name of the conditioning variable.

pair_fun

A function returning a pairwise from a dataset.

ungrouped

If TRUE calculates the ungrouped score in addition to grouped scores.

warnings

If TRUE, generates a warning for datasets of one row, one column, or with constant variables.

add.nobs

If TRUE, adds an extra column containing the number of observations used for each score.

Value

tibble of class "pairwise"

Examples

pairwise_by(iris, by="Species", pair_cor)
#> # A tibble: 24 × 6
#>    x            y            score   group      value pair_type
#>    <chr>        <chr>        <chr>   <fct>      <dbl> <chr>    
#>  1 Petal.Length Petal.Width  pearson setosa     0.332 nn       
#>  2 Petal.Length Petal.Width  pearson versicolor 0.787 nn       
#>  3 Petal.Length Petal.Width  pearson virginica  0.322 nn       
#>  4 Petal.Length Petal.Width  pearson all        0.963 nn       
#>  5 Petal.Length Sepal.Length pearson setosa     0.267 nn       
#>  6 Petal.Length Sepal.Length pearson versicolor 0.754 nn       
#>  7 Petal.Length Sepal.Length pearson virginica  0.864 nn       
#>  8 Petal.Length Sepal.Length pearson all        0.872 nn       
#>  9 Petal.Length Sepal.Width  pearson setosa     0.178 nn       
#> 10 Petal.Length Sepal.Width  pearson versicolor 0.561 nn       
#> # ℹ 14 more rows