select_stat_cols: Helper function to select only the relevant columns for...

In theftdlc: Analyse and Interpret Time Series Features

Helper function to select only the relevant columns for statistical testing

Description

Helper function to select only the relevant columns for statistical testing

Usage

select_stat_cols(data, by_set, metric, hypothesis)

Arguments

data	data.frame of classification accuracy results
by_set	Boolean specifying whether you want to compare feature sets (if TRUE) or individual features (if FALSE).
metric	character denoting the classification performance metric to use in statistical testing. Can be one of "accuracy", "precision", "recall", "f1". Defaults to "accuracy"
hypothesis	character denoting whether p-values should be calculated for each feature set or feature (depending on by_set argument) individually relative to the null if use_null = TRUE in tsfeature_classifier through "null", or whether pairwise comparisons between each set or feature should be conducted on main model fits only through "pairwise".

Value

object of class data.frame

Author(s)

Trent Henderson

theftdlc documentation built on Aug. 8, 2025, 6:30 p.m.