plot_minmax: Generate individual subplots within the graphical...
In AshwiniKV/visTree: Visualization of Subgroups for Decision Trees

This function is utilized to generate a series of sub-plots, where each subplot corresponds to individual terminal nodes within the decision tree structure. Each subplot is composed of a histogram (or a barchart) that displays the distribution for the relevant subgroup and colored horizontal bars that summarize the set of covariate splits.

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plot_minmax(My, X, Y, str, color.type, alpha, add.p.axis, add.h.axis,
  cond.tree, text.main, text.bar, text.round, text.percentile,
  density.line, text.title, text.axis, text.label)

`My`	A matrix to define the split points within the decision tree structure
`X`	Covariates
`Y`	Response variable
`str`	Structure of pathway from the root node in the decision tree to each terminal node
`color.type`	Color palettes. (rainbow_hcl = 1; heat_hcl = 2; terrain_hcl = 3; sequential_hcl = 4; diverge_hcl = 5)
`alpha`	Transparency of individual horizontal bars. Choose values between 0 to 1.
`add.p.axis`	logical. Add axis for the percentiles (add.p.axis = TRUE), remove axis for the percentiles (add.p.axis = FALSE).
`add.h.axis`	logical. Add axis for the outcome (add.h.axis = TRUE), remove axis for the outcome (add.h.axis = FALSE).
`cond.tree`	Tree as a party object
`text.main`	Change the size of the main titles
`text.bar`	Change the size of the text in the horizontal bar and below the bar plot
`text.round`	Round the threshold displayed on the bar
`text.percentile`	Change the size of the percentile title
`density.line`	Draw a density line
`text.title`	Change the size of the text in the title
`text.axis`	Change the size of the text of axis labels
`text.label`	Change the size of the axis annotation