Visualize calibration coefficients and summary.

iso_plot_calibration_parameters(dt, calibration = "", x,
select_from_summary = c(R2 = adj.r.squared, RMSD = sigma),
color = NULL, shape = NULL, size = NULL, date_breaks = "2 hours",
date_labels = "%d %b %H:%M")

## Arguments

dt data table name of the calibration, must match the name used in iso_generate_calibration (if any) the x axis aesthetic for the calibration parameters, can be datetime, text or numeric which parameters from the fit summary to include, by default includes the adjusted R2 (renamed just R2) and the root mean square deviation (RMSD), which R often calls sigma or residual standard deviation (often also called residual standard error and root mean square error instead of deviation, or standard error of the regression). variable to use for color aesthetic for the plot variable to use for shape aesthetic for the plot variable to use for size aesthetic for the plot what breaks to use for the x axis if it is a datetime datetime label pattern for x axis if it is a datetime