bootstrap_fbar_sample: Internal Bootstrap Resampling for F-bar Test

Description

This internal function performs bootstrap resampling specific to the F-bar test within the context of the nonparametric bootstrap test with pooled resampling. It is used by bootFbar to generate bootstrap samples and compute intermediate statistics.

Usage

bootstrap_fbar_sample(
  data,
  formula,
  grp,
  constraints,
  grp_val,
  grp_sizes,
  pre_calc,
  only_equality_constraints
)

Value

A list containing the test statistics for each constraint type (B, A, F) based on the bootstrap sample. Returns NA values if the iht computation fails.

Arguments

data: A data frame containing the dataset for analysis.
formula: An object of class "formula": a symbolic description of the model to be fitted.
grp: A string specifying the grouping variable in the data.
constraints: A matrix or data frame of constraints for the hypothesis test.
grp_val: A vector containing the values of the group variable.
grp_sizes: A table object containing the sizes of each group.
pre_calc: A list containing pre-calculated original test statistics.
only_equality_constraints: A logical indicating whether only equality constraints are used.

Details

The function creates bootstrap samples for each group in the data, then binds these samples together. It applies the restriktor::iht function on these samples to compute the test statistics. Error handling is implemented to manage potential issues in iht computation.