Choose the correct statistical test — choose

Selects the correct statistical test for a provided dataframe column.

choose_test(df, group, col)

Arguments

df	a data frame
group	a grouping variable to split the records in `col` and test by.
col	a column to be tested

Value

a list of class htest representing the results of either chisq.test or t.test

Details

currently does not work with factors, only logicals and numerics.

Examples

mtcars %>% dplyr::group_by(hp > 150) %>% choose_test(`hp > 150`, mpg)
#> 
#> 	Welch Two Sample t-test
#> 
#> data:  mpg by hp > 150
#> t = 5.239, df = 28.746, p-value = 1.338e-05
#> alternative hypothesis: true difference in means between group FALSE and group TRUE is not equal to 0
#> 95 percent confidence interval:
#>   4.799001 10.949177
#> sample estimates:
#> mean in group FALSE  mean in group TRUE 
#>            23.28947            15.41538 
#>