basis_pca {spinifex} | R Documentation |
The basis of Principal Component Analysis (PCA)
Description
The orthogonal linear components of the variables in the next largest direction of variance.
Usage
basis_pca(data, d = 2)
Arguments
data |
Numeric matrix or data.frame of the observations. |
d |
Number of dimensions in the projection space. |
See Also
Other basis producing functions:
basis_guided()
,
basis_half_circle()
,
basis_odp()
,
basis_olda()
,
basis_onpp()
Examples
dat <- scale_sd(wine[, 2:6])
basis_pca(data = dat)
[Package spinifex version 0.3.7.0 Index]