Function to run proportion test on grouped data.

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

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 |

... | Currently ignored. |

Dataframe with percentages and statistical details from a proportion test.

# 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 #> <dbl> <chr> <chr> <dbl> <dbl> <dbl> #> 1 4 27.27% 72.73% 2.27 0.132 1 #> 2 6 57.14% 42.86% 0.143 0.705 1 #> 3 8 85.71% 14.29% 7.14 0.00753 1 #> method significance #> <chr> <chr> #> 1 Chi-squared test for given probabilities ns #> 2 Chi-squared test for given probabilities ns #> 3 Chi-squared test for given probabilities **