importance_table: importance_table
In njtierney/neato: Various Useful Functions That I Repeatedly Use

Description Usage Arguments Details Value See Also Examples

importance_table returns a data_frame of variable importance

1	importance_table(x)

`x`	An rpart of gbm.step object to be turned into a tidy dataframe containing importance values

This currently only works for rpart and gbm.step functions. In the future more features will be added so that it works for many decision trees

A data_frame object made with the intention of turning it into a text table with 'knitr' or 'xtable'

https://github.com/dgrtwo/broom

# turn a fitted object into a data_frame

 \code{rpart} object
fit.rpart <- rpart(Kyphosis ~ Age + Number + Start, data = kyphosis)

importance_table(fit.rpart)

# you can even use piping

fit.rpart %>% importance_table

\code{gbm.step} object
fit.gbm.step <- gbm.step(data = iris,
                         gbm.x = c(1:3),
                         gbm.y = 4,
                         tree.complexity = 1,
                         family = "gaussian",
                         learning.rate = 0.01,
                         bag.fraction = 0.5)

importance_table(fit.gbm.step)

# with piping
fit.gbm.step %>% importance_table

Unfortunately it cannot yet run a \code{gbm} object:
## Not run: 

gbm.fit <- gbm(Sepal.Width ~ .,
               distribution = "gaussian",
               data = iris)

importance_table(gbm.fit)

## End(Not run)

\code{randomForest} object
    set.seed(1)
    data(iris)
    iris.rf <- randomForest(Species ~ ., iris,
                            proximity=TRUE,
                            keep.forest=FALSE)

importance_table(iris.rf)