bootstrap_fbar_sample {npboottprmFBar} | R Documentation |
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
)
Arguments
data |
A data frame containing the dataset for analysis. |
formula |
An object of class |
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.
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.