`viviBartPlot.Rd`

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 )

matrix | Matrices, such as that returned by viviBartMatrix, of values to be plotted. |
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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. |

Either a heatmap, VSUP, or quantile heatmap plot.

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') }