Add tests to a desc_table

Add test statistics to a grouped desc_table, with the tests specified as variable = test.

Usage

desc_tests(desctable, .auto = tests_auto, .default = NULL, ...)

Arguments

desctable

A desc_table

.auto

A function to automatically determine the appropriate tests

.default

A default fallback test

...

A list of statistical tests associated to variable names

Value

A desc_table with tests

Tests

The statistical test functions to use in the table are passed as additional named arguments. Tests must be preceded by a formula tilde (~). name = ~test will apply test test to variable name.

Any R test function can be used, as long as it returns an object containing a p.value element, which is the case for most tests returning an object of class htest.

Users can also use purrr::map-like formulas as quick anonymous functions (eg. ~ t.test(., var.equal = T) to compute a t test without the Welch correction.

See also

tests_auto

no.test

ANOVA

Other desc_table core functions: desc_output(), desc_table()

Examples

iris %>%
  group_by(Species) %>%
  desc_table() %>%
  desc_tests(Sepal.Length = ~kruskal.test,
             Sepal.Width  = ~oneway.test,
             Petal.Length = ~oneway.test(., var.equal = T),
             Petal.Length = ~oneway.test(., var.equal = F))
#> # A tibble: 3 × 5
#> # Groups:   Species [3]
#>   Species    data              .stats       .vars        .tests      
#>   <fct>      <list>            <list>       <list>       <list>      
#> 1 setosa     <tibble [50 × 4]> <df [4 × 8]> <df [4 × 1]> <df [4 × 2]>
#> 2 versicolor <tibble [50 × 4]> <df [4 × 8]> <df [4 × 1]> <df [4 × 2]>
#> 3 virginica  <tibble [50 × 4]> <df [4 × 8]> <df [4 × 1]> <df [4 × 2]>