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Plot a bar chart comparing observed (measured) and modelled concentrations

plot_comparison_bars.Rd

This function produces a plot comparing modelled and measured concentrations. For long-term data, the provided annual averaged measured data is visualised alongside the performance acceptability range of the observations. For short-term data, the RMSE and RMSU*0 are visualised.

Usage

plot_comparison_bars(
  stats,
  color_obs = "grey85",
  color_mod = "black",
  color_outline = "black",
  interactive = FALSE
)

Arguments

stats

The output of summarise_mqo_stats(). All relevant information (e.g., term, params_fixed, etc.) will be passed to this function.

color_obs, color_mod, color_outline

The colours to use to fill the 'observation' bars, 'modelled' bars, and for the outlines/error bars. Can be expressed as hex codes, or any colours listed in colors().

interactive

If FALSE, the default, a static ggplot2 graphic will be returned which can be saved as a PNG, SVG, or other similar format. If TRUE, a dynamic HTML widget will be returned created by plotly.

See also

Other plotting functions: plot_mqi_bars(), plot_mqi_report(), plot_mqi_scatter(), plot_timeseries()

Author

Jack Davison

Examples

plot_comparison_bars(
  summarise_mqo_stats(demo_longterm, pollutant = "PM10")
)
#> ! term assumed to be 'long'.
#> ℹ If this is incorrect, please specify the data's term using the term argument.


plot_comparison_bars(
  summarise_mqo_stats(demo_shortterm, pollutant = "PM10")
)
#> ! term assumed to be 'short'.
#> ℹ If this is incorrect, please specify the data's term using the term argument.