mfa | R Documentation |
mfa
mfa( X, ncomp = 2, preproc = center(), normalization = c("MFA", "RV", "None", "RV-MFA", "Dual-RV", "Frob", "custom"), M = NULL, A = NULL, ... )
X |
a |
ncomp |
the number of components to estimate |
preproc |
a preprocessing pipeline, default is 'center()' |
normalization |
the normalization method: MFA, RV, RV-MFA, or None (see details). |
M |
custom weight matrix for the rows |
A |
custom weight matrix for the columns |
X <- block_matrix(replicate(5, { matrix(rnorm(10*10), 10, 10) }, simplify=FALSE)) res <- mfa(X, ncomp=3, normalization="MFA") p <- partial_scores(res, 1) stopifnot(ncol(scores(res)) == 3) labs <- letters[1:10] cfier <- classifier(res, labels=labs, ncomp=3) pred <- predict(cfier, X[1:2,]) cfier2 <- classifier(res, labels=labs, ncomp=3, colind=res$block_indices[[2]]) pred2 <- predict(cfier2, X[1:2,res$block_indices[[2]]])
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.