plot.interpretation_set: Plot a diagram of the valid options for an interpretation_set...
In jimvine/confinterpret: Descriptive Interpretations of Confidence Intervals

Description Usage Arguments Details Examples

Produces a diagram that illustrates the set of pairs of lower and upper confidence limits that are valid for a given interpretation_set object. The output is presented as a set of regions in different colours with boxes either within regions or spanning them to illustrate where the lower and upper confidence limits sit. The options are labelled alphabetically, and presented in the order in which their associated interpretations should be provided in the interpretation_set.

1 2	## S3 method for class 'interpretation_set' plot(x, extra_boundaries = NULL, ...)

`x`	An `interpretation_set` object.
`extra_boundaries`	A vector of numerical values specifying the position for displaying additional boundaries, not specified in the `interpretation_set`. May optionally be named values; if named, the names will be labelled on the plot axis. See Details for information on specifying locations.
`...`	Further arguments passed to and from methods.

Additional boundaries can be displayed using the extra_boundaries parameter. This can be helpful if you want to show a position that is of some practical relevance, but is not defined as a boundary for the purposes of the interpretation_set. The boundaries specified by the interpretation_set are plotted with spacing 1 and are centred about 0: for an even number of boundaries the central pair of boundaries will be at -0.5 and +0.5; for an odd number of boundaries the central one will be at 0, and the next ones (if any) will be at -1 and +1, and so on.

Plots use the current R Graphics Palette, so you may wish to set that to something attractive before plotting. See ?palette.

# Set a nice colour scheme
grDevices::palette(c("#FF671F99", "#F2A90099", "#0085CA99"))
# Plot the pre-defined interpretations_equivalence object with an additional
#   central boundary to illustrate where the actual null point is.
plot(interpretations_equivalence, extra_boundaries = c("Actual null" = 0))