plotInt: Plot interaction
In karlkumbier/iRF2.0: Iterative Random Forests

Generate response surface plots for a given interaction.

plotInt(x, y, int, read.forest, varnames = NULL, qcut = 0.5,
  col.pal = c("#1c3f66", "#306aab", "#6e96c4", "#ffb003", "#ff8300"),
  xlab = NULL, ylab = NULL, zlab = NULL, range.col = NULL,
  z.range = c(0, 1), grid.size = 50, min.surface = 100, min.nd = 5,
  pred.prob = FALSE, filt.rule = TRUE, nc = 2, main = NULL)

`x`	numeric feature matrix, with replicate features grouped
`y`	response vector
`int`	signed interaction to plot. Formatted as 'X1+_X2+_X3-_...'
`read.forest`	output of readForest
`varnames`	character vector indicating feature names. If NULL, colnames(x) are used as feature names.
`col.pal`	color palette for response surfaces
`xlab`	x-axis label
`ylab`	y-axis label
`zlab`	z-axis label
`range.col`	range of response values for color palette
`z.range`	z-axiz range
`min.surface`	minimum number of observations required to generate a response surface.
`min.nd`	minimum leaf node size to extract decision rules from.
`main`	plot title for response surfaces
`qcut:`	quantile to define low/high levels of additional features beyond order-2 interations. Thresholds will generated using the specified quantile of random forest thresholds for corresponding features.
`grid.surface`	size of grid to generate response surfaces over.
`pred.prob:`	if TRUE, z-axis indicates predicted probability from the random forest. If false, z-axis indicates distribution of responses y