Plots global importance (i.e. cumulative importance of all features for all response variables) and individual response importance.

Plots global importance (i.e. cumulative importance of all features for all response variables) and individual response importance.

plot_vi_biosecurity(
  VI,
  modelPerf,
  Y,
  X,
  groupCov = NULL,
  cutoff = 0.2,
  plot.pca = "no",
  mode = "regression"
)

Arguments

VI	A dataframe dataframe generated from mrvip function
modelPerf	A dataframe dataframe generated by modelPerf function
Y	A dataframe response dataset
X	A dataframe feature dataset
cutoff	A numeric determines mathews correlation coefifcent (mcc) threshold for displaying individual reponse model. Default is 0.5
mode	character'classification' or 'regression' i.e., is the generative model a regression or classification?

Details

1st plot: and individual reponse feature plots (2nd plot). Requires object generated from the R function mrvip as well as feature data (Y). Variables also need to be grouped to allow for easier interpretation.