plotImage.glcTree: Plot a Gaussian RPMM Tree Profile
In RPMM: Recursively Partitioned Mixture Model

Description Usage Arguments Details Value

Plots profiles of terminal nodes in color.

plotImage.glcTree(env, 
   start = "r", method = "weight", 
   palette = colorRampPalette(c("yellow", "black", "blue"), space = "Lab")(128), 
   divcol = "red", xorder = NULL, dimensions = NULL, labelType = "LR", muColorEps = 1e-08)

`env`	RPMM object to print.
`start`	Node to plot (usually root)
`method`	Method to determine width of columns that represent classes: “weight” (subject weight in class) or dQuotebinary (depth in tree).
`palette`	Color palette to use for image plot.
`divcol`	Divider color
`xorder`	Order of variables. Can be useful for constant ordering across multiple plots.
`dimensions`	Subset of dimensions of source data to show. Defaults to all. Useful to show a subset of dimensions.
`labelType`	Label name type: “LR” or “01”.
`muColorEps`	Small value to stabilize color generation.

See glcTree for example.

Returns a vector of indices similar to the order function, representing the orrdering of items used in the plot. This is useful for replicating the order in another plot, or for axis labeling.

RPMM documentation built on May 2, 2019, 2:52 p.m.