coinertia.drbats: Perform Coinertia Analysis on the PCA of the Weighted PCA and...

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

Perform Coinertia Analysis on the PCA of the Weighted PCA and Deville's PCA

Description

Perform Coinertia Analysis on the PCA of the Weighted PCA and Deville's PCA

Usage

coinertia.drbats(
  X.histo = NULL,
  Qp = NULL,
  X = NULL,
  t = NULL,
  t.range = c(0, 1000),
  breaks
)

Arguments

X.histo	the data matrix projected onto the histogram basis
Qp	a matrix of weights, if Qp = NULL the function specifies a diagonal weight matrix
X	a data matrix, if X.histo is NULL and needs to be built
t	a matrix of observation times, if X.histo is NULL and needs to be built
t.range	the range of observation times in vector form, if X.histo is NULL and needs to be built (default: t.range = c(0, 1000))
breaks	integer number of histogram windows

Value

co_weight the co-inertia object

Author(s)

Gabrielle Weinrott

Examples

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

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