featurePlot
From caret v6.0-86
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
orellipse
. For regression,pairs
orscatter
- 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
# NOT RUN {
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")
# }
Community examples
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