Plot Observed vs Modelled Scatter using the 'best parameters' from tune_dw_model()

tune_dw_model() determines a 'best' set of parameters automatically and models some 'final' predictions using a reserved testing dataset to evaluate the model. This function produces a scatter (or varient)

Usage

plot_tdw_testing_scatter(
  tdw,
  method = c("scatter", "bin", "hexbin"),
  group = NULL,
  bins = 50L,
  show_ablines = TRUE,
  show_params = TRUE,
  cols = "viridis",
  cols_ablines = c("black", "grey50")
)

Arguments

tdw

A deweather tuning object created with tune_dw_model().

method

One of "scatter", "bin" or "hexbin".

group

A variable (one of the initial modelling parameters) to colour the scatter plot by. Only used when method = "scatter". This could be useful to determine where the model is working most or least effectively, or to identify other patterns in the data.

bins

The number of bins to use when method = "bin" or method = "hexbin".

show_ablines

Show 1:1, 2:1 and 1:2 lines to assist with model evaluation? Lines will appear beneath the "scatter" method and above either of the "bin" methods.

show_params

Show an annotation of model parameters in the top-left corner of the scatter plot?

cols

Colours to use for plotting. See openair::openColours().

cols_ablines

Colours to use for the diagonal lines, if show_ablines = TRUE. The the first colour is used for the 1:1 line, and the second for the 2:1 and 1:2 lines. Passed to openair::openColours().

See also

Other Model Tuning Functions: plot_tdw_tuning_metrics(), tune_dw_model()