Plots for Unsupervised Data Visualization

Plots for unsupervised data visualization

plot.clusterpro(x, xvar.names, shrink=TRUE,
   col=TRUE, col.names=NULL, sort=TRUE, cex=FALSE, breaks=10, ... )

Arguments

x: clusterpro object obtained from previous call to clusterpro.
xvar.names: Names of the x-variables to be plotted (uses all by default). Can also be integer values.
shrink: Shrink the release variable to zero?
col: Color the plots?
col.names: The default is to color each plot by the release variable. This option allows plots to be colored by the same variable specified by col.names. Can also be an integer value.
sort: Sort the plot by the importance of a variable?
cex: Scale size of the points?
breaks: Number of breaks used when coloring points.
...: Additional options passed to plot.

Generates a two-dimensional visualization plot using UMAP applied to the enhanced data of a release variable.

Hemant Ishwaran

McInnes L., Healy J. and Melville J. (2018). UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. ArXiv e-prints.