Plot Estimate Ridge Lines by Discrete Choice — plot_rdf_ridges_by

Visualizes the variance of an estimate conditional on a selected discrete choice.

Usage

plot_rdf_ridges_by_dchoice(df, est, dchoice, hist = FALSE, ...)

df: The data frame as generated by exhaust_design().
est: A character value to indicate the variable in df that contains the pont estimate that you want to plot.
dchoice: A character value to indicate the discrete choice that you want to partition your estimate ridgelines on.
hist: Set to true if you want histogram ridges instead of densities. This is more informative about the exact range of coefficient but does not look as nice. Sets stat = "binline" in the geom_density_ridges call. Experiment with parameter scale < 1 to avoid overlapping histograms.
...: Additional parameters that are being passed on to geom_density_ridges

A ggplot object containing the plot.

See the vignette of the package for further details on how to implement the RDF workflow.

if (FALSE) {
  print("Sorry. No examples yet.")
}