hyperoverlap_lda: Hyperoverlap visualisation using linear discriminant analysis...
In hyperoverlap: Overlap Detection in n-Dimensional Space

Description Usage Arguments Details Value See Also Examples

Hyperoverlap visualisation using linear discriminant analysis (LDA)

1	hyperoverlap_lda(x, return.plot=TRUE, visualise3d=FALSE, showlegend=TRUE)

`x`	An `hyperoverlap-class` object.
`return.plot`	Logical. If TRUE, data are plotted using `plot()`.
`visualise3d`	Logical. If FALSE, data are projected onto two axes (LDA1, residualPCA1). If TRUE, data are projected onto three axes (LDA1, residualPCA1, residualPCA2)
`showlegend`	Logical. Used for 3D plots.

This function provides a way to visualise overlap (or non-overlap) between classes of high dimensional data. For inspection, it is useful to use the base graphics package (implemented by return.plot=TRUE). The transformed coordinates of each point are also returned as a dataframe, which can be plotted with user-defined parameters.

Returns a dataframe with columns "Entity", "LDA1", "residualPCA1", "residualPCA2" (if visualise3d = TRUE)

hyperoverlap_detect

#using iris dataset reduced to two species
data = iris[which(iris$Species!=("versicolor")),]
x = hyperoverlap_detect(data[1:4], data$Species)
hyperoverlap_lda(x)