plot.FeatureEffect() plots the results of a FeatureEffect object.

```
# S3 method for FeatureEffects
plot(x, features = NULL, nrows = NULL, ncols = NULL, fixed_y = TRUE, ...)
```

## Arguments

- x
A FeatureEffect object.

- features
character For which features should the effects be
plotted? Default is all features. You can also sort the order of the plots
with this argument.

- nrows
The number of rows in the table of graphics

- ncols
The number of columns in the table of graphics

- fixed_y
Should the y-axis range be the same for all effects? Defaults
to TRUE.

- ...
Further arguments for `FeatureEffect$plot()`

## Details

In contrast to other plot methods in iml, for FeatureEffects the returned
plot is not a ggplot2 object, but a grid object, a collection of multiple
ggplot2 plots.

## Examples

```
# We train a random forest on the Boston dataset:
library("randomForest")
data("Boston", package = "MASS")
rf <- randomForest(medv ~ ., data = Boston, ntree = 50)
mod <- Predictor$new(rf, data = Boston)
# Compute the partial dependence for the first feature
eff <- FeatureEffects$new(mod)
# Plot the results directly
eff$plot()
# For a subset of features
eff$plot(features = c("lstat", "crim"))
# With a different layout
eff$plot(nrows = 2)
```