ci_boot_df: Calculate mean with confidence intervals from boostrapped...

In sbw78/sbwtools: My most frequently used functions

Calculate mean with confidence intervals from boostrapped samples.

Description

Calculate mean with confidence intervals from boostrapped samples.

Usage

ci_boot_df(.data, .summary_var, ..., ci = 0.95, groups_col = FALSE, B = 1000)

Arguments

.data	A data frame
.summary_var	Variable that is being summarized
...	Grouping variable(s)
ci	Confidence interval. Defaults to 0.95
groups_col	List grouping variable under column named 'group'. Defaults to FALSE.
B	Number of bootstrap resamples. Defaults to 1000.

Value

A data frame with variables ⁠mean_{{.summary_var}}⁠, ci_low, ci_high, sd, n. If the data frame is grouped, grouping variable will also be listed.

See Also

Hmisc::smean.cl.boot() which this function utilizes

Examples

ci_boot_df(mtcars, mpg, cyl, gear)

sbw78/sbwtools documentation built on May 20, 2024, 9 a.m.