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 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

# 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")

# }

Documentation reproduced from package caret, version 6.0-86, License: GPL (>= 2)

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