Generate n bootstrap replicates.
Generate n bootstrap replicates.
bootstrap(data, n, id = ".id")
data |
A data frame |
n |
Number of bootstrap replicates to generate |
id |
Name of variable that gives each model a unique integer id. |
A data frame with n rows and one column: strap
Other resampling techniques:
resample_bootstrap(),
resample_partition(),
resample()
library(purrr) boot <- bootstrap(mtcars, 100) models <- map(boot$strap, ~ lm(mpg ~ wt, data = .)) tidied <- map_df(models, broom::tidy, .id = "id") hist(subset(tidied, term == "wt")$estimate) hist(subset(tidied, term == "(Intercept)")$estimate)
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