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Perform Coinertia Analysis on the PCA of the Weighted PCA and Deville's PCA
coinertia.drbats( X.histo = NULL, Qp = NULL, X = NULL, t = NULL, t.range = c(0, 1000), breaks )
the data matrix projected onto the histogram basis
a matrix of weights, if Qp = NULL the function specifies a diagonal weight matrix
a data matrix, if X.histo is NULL and needs to be built
a matrix of observation times, if X.histo is NULL and needs to be built
the range of observation times in vector form, if X.histo is NULL and needs to be built (default: t.range = c(0, 1000))
integer number of histogram windows
co_weight the co-inertia object
# NOT RUN { 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 # }
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