DrBats: pca.proj.Xt – R documentation

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pca.proj.Xt

PCA data projected onto a histogram basis

PCA data projected onto a histogram basis

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

`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)

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

Gabrielle Weinrott

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)

Data Representation: Bayesian Approach That's Sparse

v0.1.5

GPL-3

Authors

Anne Bisson [cre], Gabrielle Weinrott [aut], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]

Initial release

2019-11-15