GPAbin (version 1.1.0)

evalMeas: 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"))

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)

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.

Examples

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