ResIN_boots_extract: Extract and summarize the results of a bootstrap simulation...

In ResIN: Conduct Response Item Network (ResIN) Analysis with Social Response Data

Extract and summarize the results of a bootstrap simulation undertaken on a ResIN object

Description

Extract bootstrap draws from "ResIN_boots_executed" results. Failed iterations (stored as NULL) are skipped automatically.

Usage

ResIN_boots_extract(
  ResIN_boots_executed,
  what,
  summarize_results = FALSE,
  allow_missing = FALSE
)

Arguments

ResIN_boots_executed	An object of class "ResIN_boots_executed" (output of ResIN_boots_execute).
what	Character scalar naming the quantity to extract (e.g., "global_clustering").
summarize_results	Logical; if TRUE return a small summary table, otherwise return draws.
allow_missing	Logical; if FALSE (default) the function errors if what is missing in any successful fit. If TRUE, missing iterations are kept as NULL and summaries are computed from available values.

Value

If the extracted quantity is scalar per iteration, returns an object of class "ResIN_boots_draws" (a numeric vector with attributes). If summarize_results = TRUE, returns a one-row data.frame of summary statistics.

Examples

## Load the 12-item simulated Likert-type toy dataset
data(lik_data)

# Apply the ResIN function to toy Likert data:
ResIN_obj <- ResIN(lik_data, network_stats = TRUE,
                      generate_ggplot = FALSE, plot_ggplot = FALSE)


# Prepare for bootstrapping
prepped_boots <- ResIN_boots_prepare(ResIN_obj, n=100, boots_type="resample")

# Execute the prepared bootstrap list
executed_boots <-  ResIN_boots_execute(prepped_boots, parallel = TRUE, detect_cores = TRUE)

# Extract results - here for example, the network (global)-clustering coefficient
ResIN_boots_extract(executed_boots, what = "global_clustering", summarize_results = TRUE)

ResIN documentation built on March 2, 2026, 9:07 a.m.