causal_forest_plots: Causal Forest Plotting
In skirmer/skpack: Personal package of functions I use regularly.

This function takes in a dataframe with features and an outcome. It produces predictions for a test set, and plots them against the features.

1 2	causal_forest_plots(df, y, x_var, exclude = NULL, split_r = 0.9, seed_1 = 24010, seed_2 = 39028, seed_3 = 45829)

`df`	is your dataframe
`y`	is the outcome being predicted.
`x_var`	is the specific feature to plot against that outcome
`exclude`	takes any variables you want to omit from the sample.
`split_r`	is the training/test proportion split you want. Defaults to .9.
`seed_1`	and those that follow allow you to see the random partition for reproducibility.