slipper_ci: Bootstrap a function that returns a single number and return...

In jtleek/slipper: Easy and tidy bootstrapping

Usage

slipper_ci(df, expr, B = 100, lower = 0.025, upper = 0.975)

Arguments

df	A data frame
expr	A an expression with a function that operates on one or more variables from the data frame.
B	the number of bootstrap samples to draw
lower	the lower percentile for the confidence interval (default 2.5 \item upperthe upper percentile for the confidence interval (default 97.5 confint A vector with the lower bound and upper bound Takes a data frame, a function that returns a single number, and a number of replicates and returns a data frame with the function calculated on the observed sample and on B bootstrap samples. # Boostrap the mean of the mpg variable in the mtcars data set and get a confidence # interval slipper_ci(mtcars,mean(mpg),B=100) # Bootstrap the mean of the mpg variable with piping mtcars %>% slipper_ci(mean(mpg),B=100)

jtleek/slipper documentation built on May 20, 2019, 3:14 a.m.