desc_tests | R Documentation |
Add test statistics to a grouped desc_table, with the tests specified as variable = test
.
desc_tests(desctable, .auto = tests_auto, .default = NULL, ...)
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 |
A desc_table with 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.
tests_auto
no.test
ANOVA
Other desc_table core functions:
desc_output()
,
desc_table()
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))
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