Analysis results data for Fisher's Exact Test.
Calculated with fisher.test(x = data[[variable]], y = data[[by]], ...)
Arguments
- data
(
data.frame)
a data frame.- by
(
tidy-select)
column name to compare by- variables
(
tidy-select)
column names to be compared. Independent tests will be computed for each variable.- conf.level
(scalar
numeric)
confidence level for confidence interval. Default is0.95.- ...
additional arguments passed to
fisher.test(...)
Examples
cards::ADSL[1:30, ] |>
ard_stats_fisher_test(by = "ARM", variables = "AGEGR1")
#> # An ARD data frame: 12 × 9
#> group1 variable context stat_name stat
#> <chr> <chr> <chr> <chr> <named list>
#> 1 ARM AGEGR1 stats_fisher_te… p.value 0.08918073
#> 2 ARM AGEGR1 stats_fisher_te… method Fisher's Exact Test for Count Data
#> 3 ARM AGEGR1 stats_fisher_te… alternat… two.sided
#> 4 ARM AGEGR1 stats_fisher_te… workspace 2e+05
#> 5 ARM AGEGR1 stats_fisher_te… hybrid FALSE
#> 6 ARM AGEGR1 stats_fisher_te… hybridPa… <language>
#> 7 ARM AGEGR1 stats_fisher_te… control <language>
#> 8 ARM AGEGR1 stats_fisher_te… or 1
#> 9 ARM AGEGR1 stats_fisher_te… conf.int TRUE
#> 10 ARM AGEGR1 stats_fisher_te… conf.lev… 0.95
#> 11 ARM AGEGR1 stats_fisher_te… simulate… FALSE
#> 12 ARM AGEGR1 stats_fisher_te… B 2000
#> # ℹ 4 more variables: stat_label <chr>, fmt_fun <named list>,
#> # warning <named list>, error <named list>
