evalMeas: Evaluation measures when complete data is available

In GPAbin: Unifying Multiple Biplot Visualisations into a Single Display

Evaluation measures when complete data is available

Description

Calculates measures of comparison based on distances between two configurations

Usage

evalMeas(missbp, compdat = NULL, dim = c("All", "2D"))

Arguments

missbp	An object of class missbp obtained from preceding function missmi().
compdat	Complete data matrix representing the input data of missmi()
dim	Compare the configurations in 2D or the maximum available ("All") dimensions, default is ⁠2D⁠.

Value

eval	Returns a data table with five evaluation measures: Procrustes Statistic (PS), Similarity Proportion (SP), Response Profile Recovery (RPR), Absolute Mean Bias (AMB), Root Mean Squared Bias (RMSB)

Examples

data(compdat)
data(implist)
missbp <- missmi(implist) |> DRT() |> GPAbin() |> evalMeas(compdat=compdat, dim="2D")

GPAbin documentation built on Aug. 8, 2025, 6:19 p.m.