One-sample confidence intervals for continuous variable means and medians.
Usage
ard_continuous_ci(data, ...)
# S3 method for class '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")
#> # An ARD data frame: 24 × 8
#> variable context stat_name stat_label stat fmt_fun
#> <chr> <chr> <chr> <chr> <list> <list>
#> 1 mpg contin… estimate Mean 19.6 1
#> 2 mpg contin… statistic t Statist… 528 1
#> 3 mpg contin… p.value p-value 4.656613e-10 1
#> 4 mpg contin… conf.low CI Lower … 17.55 1
#> 5 mpg contin… conf.high CI Upper … 22.1 1
#> 6 mpg contin… method method Wilcoxon signed rank exact test <fn>
#> 7 mpg contin… alternat… alternati… two.sided <fn>
#> 8 hp contin… estimate Mean 142.5 1
#> 9 hp contin… statistic t Statist… 528 1
#> 10 hp contin… p.value p-value 4.656613e-10 1
#> # ℹ 14 more rows
#> # ℹ 2 more variables: warning <list>, error <list>
ard_continuous_ci(mtcars, variables = mpg, by = am, method = "t.test")
#> # An ARD data frame: 20 × 10
#> group1 group1_level variable context stat_name stat_label stat
#> <chr> <list> <chr> <chr> <chr> <chr> <list>
#> 1 am 0 mpg continuo… estimate Mean 17.14737
#> 2 am 0 mpg continuo… statistic t Statist… 19.49512
#> 3 am 0 mpg continuo… p.value p-value 1.496986e-13
#> 4 am 0 mpg continuo… parameter Degrees o… 18
#> 5 am 0 mpg continuo… conf.low CI Lower … 15.29946
#> 6 am 0 mpg continuo… conf.high CI Upper … 18.99528
#> 7 am 0 mpg continuo… method method One Sample t-test
#> 8 am 0 mpg continuo… alternat… alternati… two.sided
#> 9 am 0 mpg continuo… mu H0 Mean 0
#> 10 am 0 mpg continuo… conf.lev… CI Confid… 0.95
#> 11 am 1 mpg continuo… estimate Mean 24.39231
#> 12 am 1 mpg continuo… statistic t Statist… 14.26217
#> 13 am 1 mpg continuo… p.value p-value 6.909456e-09
#> 14 am 1 mpg continuo… parameter Degrees o… 12
#> 15 am 1 mpg continuo… conf.low CI Lower … 20.66593
#> 16 am 1 mpg continuo… conf.high CI Upper … 28.11869
#> 17 am 1 mpg continuo… method method One Sample t-test
#> 18 am 1 mpg continuo… alternat… alternati… two.sided
#> 19 am 1 mpg continuo… mu H0 Mean 0
#> 20 am 1 mpg continuo… conf.lev… CI Confid… 0.95
#> # ℹ 3 more variables: fmt_fun <list>, warning <list>, error <list>