comp_boot_emp_samples: Draw bootstrap sample from the data

In shamindras/maar: Tidy Inference Under Misspecified Statistical Models in R

Description

comp_boot_emp_sample draws one bootstrap samples (i.e. sampling observations with replacement) from the input data. It returns a list containing the indices of the m observations that have been sampled (indices) and the bootstrapped dataset (data).

Usage

comp_boot_emp_samples(data, B = 1, m = NULL, replace = TRUE)

Arguments

data	A tibble or data frame containing the dataset to be sampled from.
B	Bootstrap repetitions or number of bootstrap samples to be drawn.
m	Number of observations to be sampled with replacement from the original dataset for each bootstrap repetition.
replace	TODO: ADD

Value

A tibble containing the number of bootstrap iteration, the bootstrap samples (data), and the indices of the observations (linked to the original sample) in the sample (indices).

Examples

## Not run: 
# Draw B=100 bootstrap samples of size m=5
set.seed(162632)
n <- 100
boot <- comp_boot_emp_samples(
  data.frame(
    y = stats::rnorm(n, 0, 1),
    x = stats::rnorm(n, 0, 1)
  ),
  B = 100,
  m = 5
)

# Display the output
print(boot)

## End(Not run)

shamindras/maar documentation built on Sept. 19, 2021, 10:21 p.m.