mdsBart

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

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

Arguments

trees	A data frame created by `extractTreeData` function.
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.

Value

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.