Aggregate statistics across discourse.object runs — get_stats

Computes summary metrics (mean, median, standard deviation, minimum, and maximum) for each numeric output component across multiple `discourse.object` results.

Usage

get_stats_parallel(object_list)

Arguments

object_list: A `list` of `discourse.object` instances. Outputs from functions (e.g., `optim_vec`, `optim_aov()`, `optim_lm()`, `optim()`).

Value

A `list` of `data.frame` objects. Each data.frame corresponds to one numeric component (e.g., `reg`, `se`, `cor`, `mean`, `sd`), and contains columns:

mean: Numeric. Mean of the component across runs.
med: Numeric. Median of the component across runs.
sd: Numeric. Standard deviation across runs.
min: Numeric. Minimum value observed across runs.
max: Numeric. Maximum value observed across runs.

Examples

 if (FALSE) { # \dontrun{
# Single-threaded example
result <- parallel_lm(args = ..., ...)
get_stats_parallel(result)
} # }