simulate_data: Simulate data for partial dependence plotting
In mdlincoln/lumberjack: Interactively Explore randomForest Models

Simulate data for partial dependence plotting

1 2	simulate_data(rf, d, class, var1, breaks1 = 50, var2 = NULL, breaks2 = 50, var3 = NULL, n_cores = parallel::detectCores(), ...)

`rf`	random forest
`d`	The data frame used to train the original forest
`class`	Which class to plot
`var1`	(Required) Primary variable (preferably continuous)
`breaks1`	How many values of the primary variable should be sampled when calculating partial dependence?
`var2`	Secondary variable
`breaks2`	If `var2` is numeric, in to how many categories should it be cut?
`n_cores`	How many cores to use when calculating in parallel? Defaults to all available cores.
`shiny_session`	If a Shiny session object is passed, a progress bar will be displayed while simulating new data.