rowexch

D-optimal design using row exchange.

📝Syntax

dRE = rowexch(nfactors, nruns)
[dRE, X] = rowexch(nfactors, nruns, modelspec)

📄Description

rowexch generates candidates with candgen and selects a D-optimal subset with candexch.

💡Examples

Create a three-run D-optimal design from candidate rows.

rng(5);
[dRE, X] = rowexch(2, 3, 'linear', 'Display', 'off', 'AvoidDuplicates', true);
dRE
X

Use bounded factor levels.

rng(6);
bounds = [0 1; -1 1];
[dRE, X] = rowexch(2, 3, 'linear', 'Bounds', bounds, 'Display', 'off')

Used Functions

candgen candexch cordexch rng