R: Cross validation

CDA.cv {RVAideMemoire}

R Documentation

Cross validation

Performs cross validation with correspondence discriminant analyses.

CDA.cv(X, Y, repet = 10, k = 7, ncomp = NULL, method = c("mahalanobis",
  "euclidian"))

`X`	a data frame of dependent variables (typically contingency or presence-absence table).
`Y`	factor giving the groups.
`repet`	an integer giving the number of times the whole procedure has to be repeated.
`k`	an integer giving the number of folds (can be re-set internally if needed).
`ncomp`	an integer giving the number of components to be used for prediction. If `NULL` all components are used.
`method`	criterion used to predict class membership. See `predict.coadisc`.

The training sets are generated in respect to the relative proportions of the levels of Y in the original data set (see splitf).

`repet`	number of times the whole procedure was repeated.
`k`	number of folds.
`ncomp`	number of components used.
`method`	criterion used to classify individuals of the test sets.
`groups`	levels of `Y`.
`models.list`	list of of models generated (`repet*k` models), for PLSR, CPPLS, PLS-DA, PPLS-DA, LDA and QDA.
`NMC`	Classification error rates (`repet` values).

Maxime HERVE <maxime.herve@univ-rennes1.fr>

require(ade4)
data(perthi02)
## Not run: CDA.cv(perthi02$tab,perthi02$cla)

[Package RVAideMemoire version 0.9-83-7 Index]