pca.proj.Xt: PCA data projected onto a histogram basis

In DrBats: Data Representation: Bayesian Approach That's Sparse

PCA data projected onto a histogram basis

Description

PCA data projected onto a histogram basis

Usage

pca.proj.Xt(X, t, t.range = c(0, 1000), breaks = 15)

Arguments

X	the data matrix
t	the matrix of observation times
t.range	a vector specifying the observation time range (default : c(0, 1000))
breaks	the number of breaks in the histogram basis (default : breaks = 15)

Value

Xt.proj a matrix of projected observations

U a matrix of eigenvectors

lambda a vector of eigenvalues

lambda.perc the percentage of inertia captured by each axis

Author(s)

Gabrielle Weinrott

Examples

res <- drbats.simul(N = 5, P = 100, t.range = c(5, 100), breaks = 8)
pca.proj.Xt(res$X, res$t.simul, t.range = c(0, 100), breaks = 8)

DrBats documentation built on March 18, 2022, 5:15 p.m.