Computes all pairwise log-ratio transformation.
methods
transform_lr(object,...)## S4 method for signature 'CompositionMatrix'transform_lr(object, weights =FALSE)## S4 method for signature 'GroupedComposition'transform_lr(object, weights =FALSE)
Arguments
object: A CompositionMatrix object.
...: Currently not used.
weights: A logical scalar: should varying weights (column means) be computed? If FALSE (the default), equally-weighted parts are used. Alternatively, a positive numeric vector of weights can be specified (will be rescaled to sum to 1). Weights will be used internally by other methods (e.g. variance()).
Returns
A LR object.
Examples
## Data from Aitchison 1986data("hongite")## Coerce to compositional datacoda <- as_composition(hongite)## Pairwise log-ratiolr <- transform_lr(coda)
References
Aitchison, J. (1986). The Statistical Analysis of Compositional Data. London: Chapman and Hall.
Greenacre, M. J. (2019). Compositional Data Analysis in Practice. Boca Raton: CRC Press.
Greenacre, M. J. (2021). Compositional Data Analysis. Annual Review of Statistics and Its Application, 8(1): 271-299. tools:::Rd_expr_doi("10.1146/annurev-statistics-042720-124436") .
See Also
Other log-ratio transformations: transform_alr(), transform_clr(), transform_ilr(), transform_inverse(), transform_plr()