Inverse of the alpha-transformation | R Documentation |
\alpha
-transformation
The inverse of the \alpha
-transformation.
alfainv(x, a, h = TRUE)
x |
A matrix with Euclidean data. However, they must lie within the feasible, acceptable space. See references for more information. |
a |
The value of the power transformation, it has to be between -1 and 1.
If zero values are present it has to be greater than 0. If |
h |
If h = TRUE this means that the multiplication with the Helmer sub-matrix will take place. It is set to TRUe by default. |
The inverse of the \alpha
-transformation is applied to the data.
If the data lie outside the \alpha
-space, NAs will be returned for
some values.
A matrix with the pairwise distances.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
Tsagris M. and Stewart C. (2022). A Review of Flexible Transformations for Modeling Compositional Data. In Advances and Innovations in Statistics and Data Science, pp. 225–234. https://link.springer.com/chapter/10.1007/978-3-031-08329-7_10
Tsagris M.T., Preston S. and Wood A.T.A. (2016). Improved classification for
compositional data using the \alpha
-transformation.
Journal of Classification 33(2): 243–261.
https://arxiv.org/pdf/1506.04976v2.pdf
Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. In Proceedings of the 4th Compositional Data Analysis Workshop, Girona, Spain. https://arxiv.org/pdf/1106.1451.pdf
alfa, alfadist
library(MASS)
x <- as.matrix(fgl[1:10, 2:9])
x <- x / rowSums(x)
y <- alfa(x, 0.5)$aff
alfainv(y, 0.5)
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