Function to unify coordinates of multiple configurations — GPAbin • GPAbin

Combines multiple configurations from dimension reduction solutions applied to multiple imputed data sets

Usage

GPAbin(missbp, G.target = NULL)

Arguments

missbp: An object of class missmi obtained from preceding function missmi()
G.target: Target configuration. If not specified the centroid configuration will be used as the target.

Value

The missbp object is appended with the following objects:

Z.GPA.list: List containing the sample coordinates for each MI after GPA
CLP.GPA.list: List containing the CLPs for each MI after GPA
G.target: Target configuration
Z.GPAbin: Sample coordinates for the GPAbin biplot
CLP.GPAbin: CLPs for the GPAbin biplot

See also missmi, impute and DRT.

For more detail, refer to Nienkemper-Swanepoel, J., le Roux, N. J., & Gardner-Lubbe, S. (2021). GPAbin: unifying visualizations of multiple imputations for missing values. Communications in Statistics - Simulation and Computation, 52(6), 2666–2685. https://doi.org/10.1080/03610918.2021.1914089.

Examples

data(implist)
missbp <- missmi(implist) |> DRT() |> GPAbin()