generate: Generate bootstrap and permutation resamples
In UBC-MDS/rfer: Rewriting of `infer` package for practice purposes

Description Usage Arguments Value Examples

Takes a tibble and generates n samples using either the bootstrapping or permutation methods

1	generate(x, n_samples, type = "bootstrap")

`x`	Tibble or data.frame, containing the response variable from which to sample
`n_samples`	Integer. The number of samples to be generated. Cannot be negative or 0.
`type`	String. Specifies the method to regenerate the samples. Default: "bootstrap" (the future implementations will allow for other types including "Permutation")

Tibble containing all the resamples in a dataframe with an additional column mapping each observation to its sample id.

library(dplyr)
gap_df <- gapminder::gapminder %>%
    dplyr::filter(year == 2007 & continent %in% c("Africa"))
generate(gap_df, n_samples=5, type="bootstrap")