# finalCCA: finalized CCA in seeded CCA In seedCCA: Seeded Canonical Correlation Analysis

## Description

Returns the results of the finalized step in seeded CCA.

## Usage

 `1` ```finalCCA(X, Y) ```

## Arguments

 `X` numeric matrix (n * d), the initially-CCAed first set of variables `Y` numeric matrix (n * d), the initially-CCAed second set of variables

## Value

 `cor` canonical correlations in finalized step `xcoef` the estimated canonical coefficient matrix of the initially-CCAed first set of variables `ycoef` the estimated canonical coefficient matrix of the initially-CCAed second set of variables `Xscores` the finalized canonical variates of the first set of variables `Yscores` the finalized canonical variates of the second set of variables

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```######## data(cookie) ######## data(cookie) myseq <- seq(141, 651, by=2) X <- as.matrix(cookie[-c(23,61), myseq]) Y <- as.matrix(cookie[-c(23,61), 701:704]) min.pr <- min( dim(X)[2], dim(Y)[2]) MX0 <- iniCCA(X, Y, u=4, num.d=min.pr) ini.X <- X %*% MX0 finalCCA(ini.X, Y) ######## data(nutrimouse) ######## data(nutrimouse) Y<-as.matrix(nutrimouse\$lipid) X<-as.matrix(nutrimouse\$gene) MX0 <- iniCCA(X, Y, u=4, num.d=4) MY0 <- iniCCA(Y, X, u=5, num.d=4) ini.X <- X %*% MX0 ini.Y <- Y %*% MY0 finalCCA(ini.X, ini.Y) ```

seedCCA documentation built on April 14, 2020, 7:14 p.m.