Shared skeleton for a nominal-vs-empirical calibration plot

The Monte-Carlo band, the diagonal reference line, the equal-aspect [0, 1] x [0, 1] frame and the minimal theme are the same figure in plot_coverage() and plot_tarp(); only the curve drawn on top (one per parameter, with a legend, for plot_coverage(); a single curve for plot_tarp()) and the title differ. This builds the shared part and leaves the caller to add its own ggplot2::geom_line() and ggplot2::labs() on top.

Usage

calibration_plot(df, band, xlab, ylab)

Arguments

df

Base data for the plot, inherited by whatever curve layer the caller adds afterward.

band

A data frame with nominal, lo and hi columns (see binom_band()), shaded as the Monte-Carlo uncertainty ribbon.

xlab, ylab

Axis labels.

Value

A ggplot object carrying the shared layers, ready for the caller's curve, scale and title.