BETplottype

BETplottype is a configuration option in some statistical visualization tools that determines how BET results are rendered in a plot. In this context, BET stands for a plotting family used to visualize trajectories, estimates over time, or related Bayesian-derived quantities. The BETplottype setting guides the visual representation, helping to balance readability, emphasis on trends, and the communication of uncertainty.

Common values for BETplottype include line, points, area, ribbon, bar, and step. A line plot connects estimated values to show a smooth trajectory; points display individual estimates; area fills the space under a curve to convey magnitude; a ribbon or band illustrates uncertainty around the trajectory (such as credible intervals); bars summarize discrete values; and a step plot emphasizes discrete time points or categories. Some implementations support combining types (for example, a line with a ribbon) or applying a different type to each series in a multi-series plot.

Usage and considerations: BETplottype is typically passed to a plotting function as an argument or set in a plotting object. The choice should reflect the data structure and the audience. For continuous trends with uncertainty, line plus ribbon is common; for sparse data, points may be preferable; for categorical or discrete-time data, bars or steps can be clearer. In multi-series visuals, BETplottype may apply globally or per series, depending on the library.

Limitations: Not all plotting backends support every BETplottype value, and some types may require additional parameters such as smoothing, interval estimates, or color schemes. Documentation and naming conventions vary by software package.

See also: Plot type, Uncertainty visualization, Bayesian plotting, Trajectory plots.