1 | slipper_ci_(df, expr, B = 100, lower = 0.025, upper = 0.975)
|
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 \itemupperthe 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) |
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