viviBartPlot

Plots a Heatmap showing variable importance on the diagonal and variable interaction on the off-diagonal with uncertainty included.

viviBartPlot(
  matrix,
  intPal = NULL,
  impPal = NULL,
  intLims = NULL,
  impLims = NULL,
  uncIntLims = NULL,
  uncImpLims = NULL,
  unc_levels = 4,
  max_desat = 0.6,
  pow_desat = 0.2,
  max_light = 0.6,
  pow_light = 1,
  angle = 0,
  border = FALSE,
  label = NULL
)

Arguments

matrix	Matrices, such as that returned by viviBartMatrix, of values to be plotted.
intPal	A vector of colours to show interactions, for use with scale_fill_gradientn. Palette number has to be 2^x/2
impPal	A vector of colours to show importance, for use with scale_fill_gradientn. Palette number has to be 2^x/2
intLims	Specifies the fit range for the color map for interaction strength.
impLims	Specifies the fit range for the color map for importance.
uncIntLims	Specifies the fit range for the color map for interaction strength uncertainties.
uncImpLims	Specifies the fit range for the color map for importance uncertainties.
unc_levels	The number of uncertainty levels
max_desat	The maximum desaturation level.
pow_desat	The power of desaturation level.
max_light	The maximum light level.
pow_light	The power of light level.
angle	The angle to rotate the x-axis labels. Defaults to zero.
border	Logical. If TRUE then draw a black border around the diagonal elements.
label	legend label for the uncertainty measure.

Value

Either a heatmap, VSUP, or quantile heatmap plot.

Examples

if (FALSE) {
df_trees <- extractTreeData(model = my_model, data = my_data)
vsupMat <- viviBartMatrix(df_trees, type = 'vsup', metric = 'propMean', metricError = "CV")
viviBartPlot(vsupMat, label = 'CV')
}