`mdsBart.Rd`

Multi-dimensional Scaling Plot of proximity matrix from a BART model.

mdsBart( trees, data, target, response, plotType = "rows", showGroup = TRUE, level = 0.95 )

trees | A data frame created by `extractTreeData` function. |
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data | a dataframe used in building the model. |

target | A target proximity matrix to |

response | The name of the response for the fit. |

plotType | Type of plot to show. Either 'interactive' - showing interactive confidence ellipses. 'point' - a point plot showing the average position of a observation. 'rows' - displaying the average position of a observation number instead of points. 'all' - show all observations (not averaged). |

showGroup | Logical. Show confidence ellipses. |

level | The confidence level to show. Default is 95% confidence level. |

For this function, the MDS coordinates are calculated for each iteration. Procrustes method is then applied to align each of the coordinates to a target set of coordinates. The returning result is then a clustered average of each point.