R: Rotation of Functional Principal Components with VARIMAX...

varmx.pca.fd {fda} | R Documentation

## Rotation of Functional Principal Components with VARIMAX Criterion

### Description

Principal components are often easier to interpret if they are rotated. Among the many possible ways in which this rotation can be defined, the VARIMAX criterion seems to give satisfactory results most of the time.

### Usage

    varmx.pca.fd(pcafd, nharm=scoresd[2], nx=501)

### Arguments

`pcafd` | an object of class `pca.fd` that is produced by function `pca.fd`.
`nharm` | the number of harmonics or principal components to be rotated.
`nx` | the number of argument values in a fine mesh used to define the harmonics to be rotated.

### Value

a rotated principal components analysis object of class `pca.fd`.

### See Also

`varmx`, `varmx.cca.fd`

[Package fda version 2.4.8 Index]