This function estimates the average ranks based on stratification.
Usage
stratified_avg(
data,
var_stratum,
J = NULL,
main_q,
anc_correct,
labels = NULL,
seed = 1234,
weight = NULL,
n_bootstrap = 200,
ipw = FALSE,
verbose = FALSE
)Arguments
- data
A data frame containing the ranking data as well as the stratifying variable.
- var_stratum
The name of the stratifying variable.
- J
The number of items in the ranking question. Defaults to NULL, in which case it will be inferred from the data.
- main_q
Column name for the main ranking question to be analyzed.
- anc_correct
Indicator for passing the anchor question.
- labels
A vector of labels for the items being ranked. Defaults to NULL.
- seed
Seed for
set.seedfor reproducibility.- weight
A vector of weights. Defaults to NULL.
- n_bootstrap
Number of bootstraps. Defaults to 200.
- ipw
Indicator for using inverse probability weighting. Defaults to FALSE, in which case direct bias estimation will be employed.
- verbose
Indicator for verbose output. Defaults to FALSE.