plot.sherlock: Plot Method for Sherlock Summary Output
In Netflix/sherlock: Causal Machine Learning for Segment Discovery and Analysis

Plot Method for Sherlock Summary Output

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## S3 method for class 'sherlock'
plot(x, plot_type = c("cate", "treatment_decisions"),
  sort_by_significance = TRUE, digits = 3L, ...)

`x`	An object with class `sherlock`, which should be a modified `data.table`.
`plot_type`	A `character` indicating the type of plot to be made. Use `"cate"` to plot only the CATE values across segments. When treatment decisions have been assigned by `watson_segment`, then `"treatment_decisions"` can be used to plot out the treatment rules, alongside the CATE estimates.
`sort_by_significance`	A `logical`. If `TRUE`, the results will be sorted based on the size of CATE estimates and treatment rules; if `FALSE`, then values will be sorted by the segment dimensions.
`digits`	A `numeric` integer giving the number of digits to print in the entries of the summary table.
`...`	Other options (not currently used).