coloredBiplot.genDiag: Colored biplot for gemeralised diagonalisations Colored...

In gmGeostats: Geostatistics for Compositional Analysis

Colored biplot for gemeralised diagonalisations Colored biplot method for objects of class genDiag

Description

Colored biplot for gemeralised diagonalisations Colored biplot method for objects of class genDiag

Usage

## S3 method for class 'genDiag'
coloredBiplot(x, choices = 1:2, scale = 0, pc.biplot = FALSE, ...)

Arguments

x	a generalized diagonalisation object, as obtained from a call to Maf (or to UWEDGE or RJD, on the help page of Maf).
choices	which factors should be represented? vector of 2 indices; defaults to c(1,2)
scale	deprecated, kept for coherence with link{biplot.princomp}
pc.biplot	same as the homonimous argument from link{biplot.princomp}: boolean, to scale variables down by sqrt(n) and observations up by the same factor.
...	further arguments to coloredBiplot

Value

nothing. Function is called exclusively to produce the plot

References

Mueller, Tolosana-Delgado, Grunsky and McKinley (2020) Biplots for compositional data derived from generalised joint diagonalization methods. Applied Computational Geosciences 8:100044 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.acags.2020.100044")}

See Also

Other generalised Diagonalisations: Maf(), predict.genDiag()

Examples

data("jura", package="gstat")
juracomp = compositions::acomp(jura.pred[, -(1:6)]) 
lrvg = logratioVariogram(data=juracomp, loc=jura.pred[,1:2])
mf = Maf(juracomp, vg=lrvg)
mf
compositions::coloredBiplot(mf, xlabs.col=as.integer(jura.pred$Rock)+2)

gmGeostats documentation built on April 18, 2023, 5:08 p.m.