bspca3: Title

In Liming96/bspca3: Compute Sparse PCA

Description

Title

Usage

bspca3(x, k = ncol(x), type = c("Gram", "predictor"), lambda = 10000,
  ncomp = min(dim(x)), center. = TRUE, scale. = FALSE,
  bess_tol = 0.001, bess_maxiter = 100)

Arguments

x	Matrix.
k	Vector or number.
type	"Gram" or "predictor".
lambda	Lagrange multiplier.
ncomp	Number of PCs needed.
center.	If TRUE, centering x.
scale.	If TRUE, scaling x.
bess_tol	Stop condition.
bess_maxiter	Maximal iterate number.

Value

A dataframe.

Examples

## Not run: 
data("pitprops")
result <- bsPCA(pitprops,k=7,type="Gram")

## End(Not run)

Liming96/bspca3 documentation built on Oct. 30, 2019, 8:26 p.m.