summary_spca: * Prints summaries from an spca object*

In merolagio/LSSPCA: Computes Least Squares Sparse Principal Components

Description

Prints summaries and comparisons with the full PCA solutions for a set of LS SPCA loadings.

Usage

summary_spca(obj, rtn = FALSE, prn = TRUE)

Arguments

obj	An spca object.
rtn	Logical: should the summary matrix of summaries be returneded?
prn	Logical: should anything be printed? Takes priority on prnload.

Details

The summaries are printed as formatted text, if rtn = TRUE, the value returned is a numerical matrix.

the values printed are VEXP is the percentage variance explained
CVEXP is the percentage cumulative variance explained
RCVEXP is the percentage cumulative variance explained relative to that of the corresponding principal components
Card is the cardinality, that is the number of non zero loadings

Value

If rtn = TRUE, a numerical matrix with the summaries.

See Also

Examples in lsspca.

merolagio/LSSPCA documentation built on April 29, 2021, 4:17 p.m.