# featurePlot

From caret v2.27
by Max Kuhn

##### Wrapper for Lattice Plotting of Predictor Variables

A shortcut to produce lattice graphs

- Keywords
- hplot

##### Usage

```
featurePlot(x, y, plot = if(is.factor(y)) "strip" else "scatter",
labels = c("Feature", ""), ...)
```

##### Arguments

- x
- a matrix or data frame of continuous feature/probe/spectra data.
- y
- a factor indicating class membership.
- plot
- the type of plot. For classification:
`box`

,`strip`

,`density`

,`pairs`

or`ellipse`

. For regression,`pairs`

or`scatter`

- labels
- a bad attempt at pre-defined axis labels
- ...
- options passed to lattice calls.

##### Details

This function ``stacks'' data to get it into a form compatible with lattice and creates the plots

##### Value

- An object of class ``trellis''. The `update' method can be used to update components of the object and the `print' method (usually called by default) will plot it on an appropriate plotting device.

##### Examples

```
x <- matrix(rnorm(50*5),ncol=5)
y <- factor(rep(c("A", "B"), 25))
trellis.par.set(theme = col.whitebg(), warn = FALSE)
featurePlot(x, y, "ellipse")
featurePlot(x, y, "strip", jitter = TRUE)
featurePlot(x, y, "box")
featurePlot(x, y, "pairs")
```

*Documentation reproduced from package caret, version 2.27, License: GPL 2.0*

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