Computes PLR transformations.
Arguments
- object
A CompositionMatrix object.
- ...
Currently not used.
- pivot
An
integer
giving the index of the pivotal variable.
Value
A PLR object.
References
Fišerová, E. & Hron, K. (2011). On the Interpretation of Orthonormal Coordinates for Compositional Data. Mathematical Geosciences, 43(4), 455‑468. doi:10.1007/s11004-011-9333-x .
Hron, K., Filzmoser, P., de Caritat, P., Fišerová, E. & Gardlo, A. (2017). Weighted Pivot Coordinates for Compositional Data and Their Application to Geochemical Mapping. Mathematical Geosciences, 49(6), 797-814. doi:10.1007/s11004-017-9684-z .
Greenacre, M. J. (2019). Compositional Data Analysis in Practice. Boca Raton: CRC Press.
See also
Other log-ratio transformations:
transform_alr()
,
transform_clr()
,
transform_ilr()
,
transform_inverse()
,
transform_lr()
Examples
## Coerce to compositional data
data("hongite")
coda <- as_composition(hongite)
## Pairwise log-ratio
lr <- transform_lr(coda)
## Centered log-ratio
clr <- transform_clr(coda)
## Additive log-ratio
alr <- transform_alr(coda)
## Isometric log-ratio
ilr <- transform_ilr(coda)
plr <- transform_plr(coda)
## Inverse transformation
inv_clr <- transform_inverse(clr)
all.equal(coda, inv_clr)
#> [1] TRUE
inv_alr <- transform_inverse(alr)
all.equal(coda, inv_alr)
#> [1] TRUE
inv_ilr <- transform_inverse(ilr)
all.equal(coda, inv_ilr)
#> [1] TRUE
inv_plr <- transform_inverse(plr)
all.equal(coda, inv_plr)
#> [1] TRUE