slipper_ci

A an expression with a function that operates on one or more variables from the data frame.

expr

the number of bootstrap samples to draw

the lower percentile for the confidence interval (default 2.5upperthe 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 %&gt;% slipper_ci(mean(mpg),B=100)

lower

This package makes it easy to do some common bootstrapping tasks in
a tidy way.

Jeffrey T Leek

slipper

Easy and tidy bootstrapping

Jeff Leek

slipper_ci function

the lower percentile for the confidence interval (default 2.5

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 %&gt;% slipper_ci(mean(mpg),B=100)

slipper_ci: Bootstrap a function that returns a single number and return a non-parametric confidence interval.

Usage

Arguments