Compute RMSE metrics across discourse.object runs

Calculates root-mean-square error (RMSE) metrics for both between-run variability and deviations from specified target values across one or more `discourse.object` results.

Usage

get_rmse_parallel(object_list)

Arguments

object_list

A `discourse.object` or list thereof. Objects produced by analysis functions such as `parallel_aov()`, `parallel_lm()`, `parallel_lme()`.

Value

A list with components:

between_rmse

A `data.frame` summarizing RMSE metrics (Mean_RMSE, SD_RMSE, Min_RMSE, Max_RMSE) for between-run differences (not taking into account targets).

target_rmse

A `data.frame` summarizing RMSE metrics for deviations from the original target inputs (not taking into account the mean across runs).

data_rmse

A `list` with raw RMSE values:

between

Named numeric vector of between-run RMSEs (`rmse_cor`, `rmse_reg`, etc.).

target

Named numeric vector of target-run RMSEs.

Examples

 if (FALSE) { # \dontrun{
# Multiple-run RMSE comparison
result <- parallel_lm(args = ..., ...)
get_rmse_parallel(result)
} # }