Analysis results data for a 2-sample test or proportions using stats::prop.test().
ard_stats_prop_test(data, by, variables, conf.level = 0.95, ...)(data.frame)
a data frame.
(tidy-select)
column name to compare by
(tidy-select)
column names to be compared. Must be a binary column coded as TRUE/FALSE
or 1/0. Independent tests will be computed for each variable.
(scalar numeric)
confidence level for confidence interval. Default is 0.95.
arguments passed to prop.test(...)
ARD data frame
mtcars |>
ard_stats_prop_test(by = vs, variables = am)
#> {cards} data frame: 13 x 9
#> group1 variable context stat_name stat_label stat
#> 1 vs am stats_pr… estimate Rate Dif… -0.167
#> 2 vs am stats_pr… estimate1 Group 1 … 0.333
#> 3 vs am stats_pr… estimate2 Group 2 … 0.5
#> 4 vs am stats_pr… statistic X-square… 0.348
#> 5 vs am stats_pr… p.value p-value 0.556
#> 6 vs am stats_pr… parameter Degrees … 1
#> 7 vs am stats_pr… conf.low CI Lower… -0.571
#> 8 vs am stats_pr… conf.high CI Upper… 0.237
#> 9 vs am stats_pr… method method 2-sample…
#> 10 vs am stats_pr… alternative alternat… two.sided
#> 11 vs am stats_pr… p p
#> 12 vs am stats_pr… conf.level CI Confi… 0.95
#> 13 vs am stats_pr… correct Yates' c… TRUE
#> ℹ 3 more variables: fmt_fn, warning, error