One-sample confidence intervals for continuous variable means and medians.
Usage
ard_continuous_ci(data, ...)
# S3 method for data.frame
ard_continuous_ci(
data,
variables,
by = dplyr::group_vars(data),
conf.level = 0.95,
method = c("t.test", "wilcox.test"),
...
)Arguments
- data
(
data.frame)
a data frame. See below for details.- ...
arguments passed to
t.test()orwilcox.test()- variables
(
tidy-select)
column names to be compared. Independent t-tests will be computed for each variable.- by
(
tidy-select)
optional column name to compare by.- conf.level
(scalar
numeric)
confidence level for confidence interval. Default is0.95.- method
(
string)
a string indicating the method to use for the confidence interval calculation. Must be one of"t.test"or"wilcox.test"
Examples
ard_continuous_ci(mtcars, variables = c(mpg, hp), method = "wilcox.test")
#> {cards} data frame: 24 x 8
#> variable context stat_name stat_label stat warning
#> 1 mpg continuo… estimate Mean 19.6 cannot c…
#> 2 mpg continuo… statistic t Statis… 528 cannot c…
#> 3 mpg continuo… p.value p-value 0 cannot c…
#> 4 mpg continuo… conf.low CI Lower… 17.5 cannot c…
#> 5 mpg continuo… conf.high CI Upper… 22.1 cannot c…
#> 6 mpg continuo… method method Wilcoxon… cannot c…
#> 7 mpg continuo… alternative alternat… two.sided cannot c…
#> 8 mpg continuo… mu H0 Mean 0
#> 9 mpg continuo… conf.int conf.int TRUE
#> 10 mpg continuo… tol.root tol.root 0
#> ℹ 14 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 2 more variables: fmt_fn, error
ard_continuous_ci(mtcars, variables = mpg, by = am, method = "t.test")
#> {cards} data frame: 20 x 10
#> group1 group1_level variable stat_name stat_label stat
#> 1 am 0 mpg estimate Mean 17.147
#> 2 am 0 mpg statistic t Statis… 19.495
#> 3 am 0 mpg p.value p-value 0
#> 4 am 0 mpg parameter Degrees … 18
#> 5 am 0 mpg conf.low CI Lower… 15.299
#> 6 am 0 mpg conf.high CI Upper… 18.995
#> 7 am 0 mpg method method One Samp…
#> 8 am 0 mpg alternative alternat… two.sided
#> 9 am 0 mpg mu H0 Mean 0
#> 10 am 0 mpg conf.level CI Confi… 0.95
#> 11 am 1 mpg estimate Mean 24.392
#> 12 am 1 mpg statistic t Statis… 14.262
#> 13 am 1 mpg p.value p-value 0
#> 14 am 1 mpg parameter Degrees … 12
#> 15 am 1 mpg conf.low CI Lower… 20.666
#> 16 am 1 mpg conf.high CI Upper… 28.119
#> 17 am 1 mpg method method One Samp…
#> 18 am 1 mpg alternative alternat… two.sided
#> 19 am 1 mpg mu H0 Mean 0
#> 20 am 1 mpg conf.level CI Confi… 0.95
#> ℹ 4 more variables: context, fmt_fn, warning, error