Data-Centric Statistical Inference Using R and Tidyverse/

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Resampling

Resampling

Learn how to mimic different activities of virtual resampling.

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Let’s now mimic our tactile resampling activity virtually with a computer.

Virtually resampling once

First, let’s perform the virtual analog of resampling once. Recall that the pennies_sample data frame included in the moderndive package contains the years of our original sample of 50 pennies from the bank. Furthermore, recall that we used the rep_sample_n() function as a virtual shovel to sample balls from our virtual bowl of 2,400 balls, as follows:

R
virtual_shovel <- bowl %>% 
rep_sample_n(size = 50)
virtual_shovel

Let’s modify this code to perform the resampling with the replacement of the 50 slips of paper representing our original sample of 50 pennies

R
virtual_resample <- pennies_sample %>% 
rep_sample_n(size = 50, replace = TRUE)

Observe how we explicitly set the replace argument to TRUE in order to tell rep_sample_n() that we would like to sample pennies with replacement. If we didn’t set replace = TRUE, the function would’ve assumed the default value of FALSE and done ...