gx.pairs4parts: Display a Graphical Matrix for Parts of a Compositional Data Set
Description
Displays a graphical matrix of log10 scaled x-y plots in the upper triangle and boxplots of the ilr transforms in the lower triangle for the parts of a compositional matrix. The robust ilr stability (Filzmoser et al., 2010) for each x-y pair is displayed as the boxplot title.
Usage
gx.pairs4parts(xx, cex = 2, ifwarn = TRUE, ...)
Arguments
xx
a matrix, or sub-matrix, of parts from a compositional data set.
cex
by default the size of the text of the variable names in the diagonal of the graphical matrix. By default cex = 2, and may be changed if required.
ifwarn
by default ifwarn = TRUE which generates a reminder/warning that when carrying out analyses of compositional data all data must be in the same measurement units. The message can be suppressed by setting ifwarn = FALSE.
…
further arguments to be passed to plot or bxplot. For example, the size of the axis scale annotation can be change by setting cex.axis and the size of the plot title by setting cex.main. For example, if it is required to make the plot title smaller, add cex.main = 0.9 to reduce the font size by 10%.
References
Filzmoser, P, Hron, K. and Reimann, C., 2010. The bivariate statistical analysis of environmental (compositional) data. Science of the Total Environment, 408(19):4230-4238.
# NOT RUN {## Make test data availabledata(sind.mat2open)
## Display 'pairs' plots for a set, or sub-set, of parts of a## compositional data matrixgx.pairs4parts(sind.mat2open)
# }