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")
#> {cards} data frame: 12 x 9
#> group1 variable context stat_name stat_label stat
#> 1 ARM AGEGR1 stats_fi… p.value p-value 0.089
#> 2 ARM AGEGR1 stats_fi… method method Fisher's…
#> 3 ARM AGEGR1 stats_fi… alternative alternat… two.sided
#> 4 ARM AGEGR1 stats_fi… workspace workspace 2e+05
#> 5 ARM AGEGR1 stats_fi… hybrid hybrid FALSE
#> 6 ARM AGEGR1 stats_fi… hybridPars hybridPa… c, 5, 80, 1
#> 7 ARM AGEGR1 stats_fi… control control list
#> 8 ARM AGEGR1 stats_fi… or or 1
#> 9 ARM AGEGR1 stats_fi… conf.int conf.int TRUE
#> 10 ARM AGEGR1 stats_fi… conf.level conf.lev… 0.95
#> 11 ARM AGEGR1 stats_fi… simulate.p.value simulate… FALSE
#> 12 ARM AGEGR1 stats_fi… B B 2000
#> ℹ 3 more variables: fmt_fn, warning, error