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takes the output of "validateScenarios()" and plots heat maps per variable

Usage

validationHeatmap(
  df,
  main_dim = "variable",
  x_plot = NULL,
  y_plot = NULL,
  x_facet = NULL,
  y_facet = NULL,
  interactive = TRUE
)

Arguments

df

data.frame to be plotted, as returned by “validateScenarios()“ (and “appendTooltips()“ if interactive), plus optional filtering. Needs to have at least one dimension with only one unique element.

main_dim

out of the 5-dim df, 1 dim has to contain only on element, this is the main dimension of the plot, default: variable

x_plot

choose dimension to display on x-axis of plot, if any is NULL, arrangement is chosen automatically based on data dimensions

y_plot

choose dimension to display on y-axis of plot

x_facet

choose dimension to display on x-dim of facets

y_facet

choose dimension to display on x-dim of facets

interactive

return plots as interactive plotly plots by default