X: compositional dataset. Either a matrix, a data.frame or a vector
basis: basis used to calculate the coordinates. basis can be either a string or a matrix. Accepted values for strings are: 'ilr' (default), 'clr', 'alr', 'pw', 'pc', 'pb' and 'cdp'. If basis is a matrix, it is expected to have log-ratio basis given in columns.
basis_return: Should the basis be returned as attribute? (default: TRUE)
...: components of the compositional data
Returns
Coordinates of composition X with respect the given basis.
Details
coordinates function calculates the coordinates of a compositiona w.r.t. a given basis. basis parameter is used to set the basis, it can be either a matrix defining the log-contrasts in columns or a string defining some well-known log-contrast: 'alr' 'clr', 'ilr', 'pw', 'pc', 'pb' and 'cdp', for the additive log-ratio, centered log-ratio, isometric log-ratio, pairwise log-ratio, clr principal components, clr principal balances or default's CoDaPack balances respectively.
Examples
coordinates(c(1,2,3,4,5))h = coordinates(c(1,2,3,4,5))basis(h)# basis is shown if 'coda.base.basis' option is set to TRUEoptions('coda.base.basis'=TRUE)coordinates(c(1,2,3,4,5))# Default transformation can improve performance.N =100K =1000X = matrix(exp(rnorm(N*K)), nrow=N, ncol=K)system.time(coordinates(X, alr_basis(K)))system.time(coordinates(X,'alr'))
See Also
See functions ilr_basis, alr_basis, clr_basis, sbp_basis
to define different compositional basis. See function composition to obtain details on how to calculate a compositions from given coordinates.