Function to run proportion test on grouped data.

grouped_proptest(data, grouping.vars, measure, ...)

Arguments

data	Dataframe (or tibble) from which variables are to be taken.
grouping.vars	Grouping variables.
measure	A variable for which proportion test needs to be carried out for each combination of levels of factors entered in `grouping.vars`.
...	Currently ignored.

Value

Dataframe with percentages and statistical details from a proportion test.

Examples

# for reproducibility
set.seed(123)

groupedstats::grouped_proptest(
  data = mtcars,
  grouping.vars = cyl,
  measure = am
)
#> Warning: Chi-squared approximation may be incorrect
#> # A tibble: 3 x 8
#>     cyl `0`    `1`   statistic p.value parameter method             significance
#>   <dbl> <chr>  <chr>     <dbl>   <dbl>     <dbl> <chr>              <chr>       
#> 1     4 27.27% 72.7…     2.27  0.132           1 Chi-squared test … ns          
#> 2     6 57.14% 42.8…     0.143 0.705           1 Chi-squared test … ns          
#> 3     8 85.71% 14.2…     7.14  0.00753         1 Chi-squared test … **