DiMDS: Conduct barycentric discriminant metric multidimensional...

In michaelkriegsman/DiDiSTATIS: Run DiDiSTATIS and related methods

Description

Conduct barycentric discriminant metric multidimensional scaling

Usage

DiMDS(DATA, data_are, DESIGN_rows, n2k = NULL, Perm_rows = F,
  Perm_rows_niter = 1000, LOO_rows = F, LOO_rows_multiplier = 10,
  SH_rows = F, SH_rows_niter = 50)

Arguments

DATA	A distance-data matrix
data_are	Flag to indicate data type #d, d2, CP, or X_to_cos, X_to_cov, X_to_cor
DESIGN_rows	Column vector(s) to discriminate rows (nominal or colors or DESIGN)
n2k	Number of components to keep
Perm_rows	Boolean to conduct permutation test
Perm_rows_niter	Number of permutation iterations
LOO_rows	Boolean to conduct Leave One Out (LOO) cross-validation
LOO_rows_multiplier	Increase the number of LOO iterations
SH_rows	Boolean to conduct Split Half (SH) cross-validation
SH_rows_niter	Number of SH iterations

Value

Results of DiMDS

michaelkriegsman/DiDiSTATIS documentation built on May 16, 2020, 7:31 a.m.