plotSkew: Aggregate and plot the skewness statistics over all...

In castels/interpTools: Tools for the Systematic Testing of Interpolation Algorithms

Aggregate and plot the skewness statistics over all simulations

Description

Function to display the sampling distributions of the skewness statistics for each metric across all simulations. Sampling distributions with a sample mean roughly centered at zero indicate that on average the metric has a reliably symmetric distribution. Distributions of skewness values whose center is not in the neighbourhood of zero (-s/3 <= Xbar <= s/3) indicate that on average the metric has a skewed distribution, and the median will better capture the essence of the data.

Usage

plotSkew(
  agObject,
  plotEach = TRUE,
  show_symmetric = NULL,
  output = "plot",
  metric = rownames(agObject[[1]][[1]][[1]][[1]])
)

Arguments

agObject	aggregate_pf; A list object (result of aggregate_pf()) of aggregated performance metrics
plotEach	logical; Whether to display plots individually (histograms) or together as a density plot
output	character; "plot" (default) or "table".
symmetric	logical; TRUE = Display only symmetric metrics, FALSE = Display only asymmetric metrics, NULL = Display all metrics

castels/interpTools documentation built on June 7, 2024, 4:20 p.m.