desc_tests: Add tests to a desc_table

In desctable: Produce Descriptive and Comparative Tables Easily

Add tests to a desc_table

Description

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))

desctable documentation built on March 24, 2022, 5:07 p.m.