Learn R Programming

MTS (version 1.2.1)

apca: Asymptotic Principal Component Analysis

Description

Perform asymptotic PCA for a data set. Typically for cases in which the number of variables is greater than the number of data points.

Usage

apca(da, m)

Arguments

da

A T-by-k data set matrix, where T is the sample size and k is the dimension

m

The number of common factors

Value

sdev

Square root of the eigenvalues

factors

The common factors

loadings

The loading matrix

Details

Perform the PCA analysis of interchanging the roles of variables and observations.

References

Tsay (2014, Chapter 6). Multivariate Time Series Analysis with R and Financial Applications. John Wiley. Hoboken, NJ.

Examples

Run this code
# NOT RUN {
rtn=matrix(rnorm(1200),12,100)
sp100=apca(rtn,3)
# }

Run the code above in your browser using DataLab