spinifex (version 0.3.2)

basis_pca: 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

Rdimtools::do.pca

Other basis producing functions: basis_guided(), basis_half_circle(), basis_odp(), basis_olda(), basis_onpp()

Examples

# NOT RUN {
dat_std <- scale_sd(wine[, 2:6])
basis_pca(data = dat_std)
# }