Calculates multi sample hypothesis tests depending on the class of its input.
multi_sample_htest(value, group, ...)# S3 method for logical
multi_sample_htest(value, group, ...)
# S3 method for factor
multi_sample_htest(value, group, multi_sample_htest.factor = NULL, ...)
# S3 method for character
multi_sample_htest(value, group, ...)
# S3 method for ordered
multi_sample_htest(value, group, multi_sample_htest.ordered = NULL, ...)
# S3 method for numeric
multi_sample_htest(value, group, multi_sample_htest.numeric = NULL, ...)
A named list with length > 0.
Most hypothesis-test-functions in R like t.test or chisq.test return an
object of class 'htest'. 'htest'-objects are a suitable output for function two_sample_htest.
Function check_tests checks if the output is suitable for further processing.
An atomic vector.
A factor, same length as value.
Passed to methods.
Analog to argument two_sample_htest.numeric
Analog to argument two_sample_htest.numeric
Either NULL or a function. Default is NULL.
If a function, then it will replace atable:::multi_sample_htest.numeric.
The function must mimic multi_sample_htest.numeric: arguments are
value, group and the ellipsis ... .
Result is a named list with length > 0 with unique names.
multi_sample_htest(logical): Casts to factor and then calls method multi_sample_htest again.
multi_sample_htest(factor): Calls chisq.test.
multi_sample_htest(character): Casts value to factor and then calls method multi_sample_htest again.
multi_sample_htest(ordered): Calls kruskal.test.
multi_sample_htest(numeric): Calls multi_sample_htest's method on ordered(value).
Calculates multi sample hypothesis tests depending on the class of its input.
Results are passed to function format_tests for the final table.
If you are not pleased with the current hypothesis tests you may alter these functions.
But you must keep the original output-format, see section Value.
Function check_tests checks if the output of statistics is suitable for further processing.
The function multi_sample_htest is essentially a wrapper
to standardize the arguments of various hypothesis test functions.