plot.varImp.train | R Documentation |

This function produces lattice and ggplot plots of objects with class "varImp.train". More info will be forthcoming.

```
## S3 method for class 'varImp.train'
plot(x, top = dim(x$importance)[1], ...)
## S3 method for class 'varImp.train'
ggplot(
data,
mapping = NULL,
top = dim(data$importance)[1],
...,
environment = NULL
)
```

`x, data` |
an object with class |

`top` |
a scalar numeric that specifies the number of variables to be displayed (in order of importance) |

`...` |
arguments to pass to the lattice plot function
( |

`mapping, environment` |
unused arguments to make consistent with ggplot2 generic method |

For models where there is only one importance value, such a regression
models, a "Pareto-type" plot is produced where the variables are ranked by
their importance and a needle-plot is used to show the top variables.
Horizontal bar charts are used for `ggplot`

.

When there is more than one importance value per predictor, the same plot is produced within conditioning panels for each class. The top predictors are sorted by their average importance.

a lattice plot object

Max Kuhn

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