A1: Dimension for the first axis. 1 is the default.
A2: Dimension for the second axis. 2 is the default.
ScaleGraph: Reescale the coordinates to optimal matching.
ShowAxis: Should the axis be shown?
ShowAxes: Not used
LabelAxes: Shoud the axis be labelled?
margin: Margin of the plot
PlotAxis: Should the axis be plotted?
ShowBox: Show a box around the plot
PlotGroups: Should the groups be plotted?
LabelGroups: Should the groups be labelled?
CexGroup: Sizes for the groups
PchGroup: Marks for the groups
ColorGroup: Colors for the groups
voronoi: Should a voronoi diagram separating the groups be plotted?
VoronoiColor: Color for the voronoi diagram
PlotInd: Should the individuals be plotted?
LabelInd: Should the individuals be labelled?
CexInd: Sizes for the individuals
PchInd: Marks for the individuals
ColorInd: Colors for the individuals
WhatInds: What indivduals are plotted
IndLabels: Labels for the individuals
PlotVars: Should the variables be plotted?
LabelVar: Should the variables be labelled?
CexVar: Sizes for the variables
PchVar: Marks for the variables
ColorVar: User colors for the variables. Default colors will be used if NULL.
WhatVars: What Variables are plotted
VarLabels: User labels for the variables
mode: Mode of the biplot: "p", "a", "b", "h", "ah" and "s".
TypeScale: Type of scale to use : "Complete", "StdDev" or "BoxPlot"
ValuesScale: Values to show on the scale: "Original" or "Transformed"
SmartLabels: Plot the labels in a smart way
AddLegend: Should a legend be added?
LegendPos: Position of the legend
PlotCircle: Should the confidence regions for the groups be plotted?
ConvexHulls: Should the convex hulls containing the individuals for each group be plotted?
TypeCircle: Type of confidence region: Univariate (U), Bonferroni(B), Multivariate (M) or Classical (C)
MinQualityVars: Minimum quality of representation for a variable to be plotted
dpg: A set of indices with the variables that will show the projections of the gorups
dpi: A set of indices with the individuasl that will show the projections on the variables
PredPoints: A vector with integers. The group centers listed in the vector are projected onto all the variables.
PlotClus: Should the clusters be plotted?
TypeClus: Type of plot for the clusters. ("ch"- Convex Hull, "el"- Ellipse or "st"- Star)
ClustConf: Percent of points included in the cluster. only the ClusConf percent of the points nearest to the center will be used to calculate the cluster
CexClustCenters: SIze of the cluster centers.
ClustCenters: Should the cluster centers be plotted?
UseClusterColors: Should the cluster colors be used in the plot
...: Any other graphical parameters
Details
Plots a Canonical Distance Analysis
Returns
The plot of a Canonical Distance Analysis
References
Gower, J. C. and Krzanowski, W. J. (1999). Analysis of distance for structured multivariate data and extensions to multivariate analysis of variance. Journal of the Royal Statistical Society: Series C (Applied Statistics), 48(4):505-519.