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PCA data projected onto a histogram basis
pca.proj.Xt(X, t, t.range = c(0, 1000), breaks = 15)
the data matrix
the matrix of observation times
a vector specifying the observation time range (default : c(0, 1000))
the number of breaks in the histogram basis (default : breaks = 15)
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
# NOT RUN { 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) # }
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