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Metric Variance and Standard Deviation

Source: R/AllGenerics.R, R/statistics.R
spread.Rd

  • mvar() computes the metric variance, i.e. a global measure of spread.

  • msd() computes the metric standard deviation.

Usage

mvar(x, ...)

msd(x, ...)

# S4 method for CompositionMatrix
mvar(x)

# S4 method for CompositionMatrix
msd(x)

Arguments

x

A CompositionMatrix object.

...

Currently not used.

Value

A numeric vector.

References

Pawlowsky-Glahn, V. and Egozcue, J. J. (2001). Geometric Approach to Statistical Analysis on the Simplex. Stochastic Environmental Research and Risk Assessment, 15(5): 384-398. doi:10.1007/s004770100077 .

See also

Other statistics: aggregate(), covariance(), dist(), mahalanobis(), mean(), variation()

Author

N. Frerebeau

Examples

## Coerce to compositional data
data("hongite")
coda <- as_composition(hongite)

## Mean
mean(coda)
#>          A          B          C          D          E 
#> 0.48941415 0.21966082 0.09881294 0.10405382 0.08805827 

## Metric variance
mvar(coda)
#> [1] 1.691324

## Metric standard deviation
msd(coda)
#> [1] 0.6502546