transform_clr {nexus} | R Documentation |
Centered Log-Ratios (CLR)
Description
Computes CLR transformation.
Usage
transform_clr(object, ...)
## S4 method for signature 'CompositionMatrix'
transform_clr(object, weights = FALSE)
Arguments
object |
A |
... |
Currently not used. |
weights |
A |
Details
The CLR transformation computes the log of each part relative to the geometric mean of all parts.
Value
A CLR
object.
Author(s)
N. Frerebeau
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. doi:10.1146/annurev-statistics-042720-124436.
See Also
Other log-ratio transformations:
transform_alr()
,
transform_ilr()
,
transform_inverse()
,
transform_lr()
,
transform_plr()
Examples
## Data from Aitchison 1986
data("hongite")
## Coerce to compositional data
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)
inv_alr <- transform_inverse(alr)
all.equal(coda, inv_alr)
inv_ilr <- transform_inverse(ilr)
all.equal(coda, inv_ilr)
inv_plr <- transform_inverse(plr)
all.equal(coda, inv_plr)