Last chance! 50% off unlimited learning
Sale ends in
Compositional Mean
# S4 method for CompositionMatrix
mean(x, ..., ignore_na = FALSE, ignore_zero = TRUE)
A numeric
vector.
A CompositionMatrix
object.
Currently not used.
A logical
scalar: should missing values be
stripped before the computation proceeds?
A logical
scalar: should zeros be stripped before the
computation proceeds?
N. Frerebeau
Closed vector of the columns geometric means.
Aitchison, J. (1986). The Statistical Analysis of Compositional Data. London: Chapman and Hall, p. 64-91.
Other statistics:
aggregate()
,
condense()
,
covariance()
,
dist
,
mahalanobis()
,
margin()
,
pip()
,
quantile()
,
scale()
,
variance()
,
variance_total()
,
variation()
## Data from Aitchison 1986
data("hongite")
## Coerce to compositional data
coda <- as_composition(hongite)
## Mean
mean(coda)
## Quantile
quantile(coda)
Run the code above in your browser using DataLab