R: Scatterplot Matrices

scatterplot.matrix {car}

R Documentation

Scatterplot Matrices

Description

Scatterplot matrices with univariate displays down the diagonal; spm is an abbreviation for scatterplot.matrix. This function just sets up a call to pairs.

Usage


scatterplot.matrix(x, ...)

## S3 method for class 'formula':
scatterplot.matrix(formula, data=NULL, subset, ...)

## Default S3 method:
scatterplot.matrix(x, labels=colnames(x), 
    diagonal=c("density", "boxplot", "histogram", "qqplot", "none"), 
    adjust=1, nclass, plot.points=TRUE, smooth=TRUE, span=0.5, reg.line=lm, 
    transform=FALSE, ellipse=FALSE, levels=c(.5, .9), robust=FALSE,
    groups=FALSE, by.groups=FALSE, col=palette(), 
    pch=1:n.groups, lwd=1, 
    cex=par("cex"), cex.axis=par("cex.axis"), cex.labels=NULL, 
    cex.main=par("cex.main"),
    legend.plot=length(levels(groups)) > 1, ...)

spm(x, ...)

Arguments

`x`	a data matrix, numeric data frame, or formula.
`formula`	a one-side ``model'' formula, of the form `~ x1 + x2 + ... + xk` or `~ x1 + x2 + ... + xk \| z` where `z` evaluates to a factor or other variable to divide the data into groups.
`data`	for `scatterplot.matrix.formula`, a data frame within which to evaluate the formula.
`subset`	expression defining a subset of observations.
`labels`	variable labels (for the diagonal of the plot).
`diagonal`	contents of the diagonal panels of the plot.
`adjust`	relative bandwidth for density estimate, passed to `density` function.
`nclass`	number of bins for histogram, passed to `hist` function.
`plot.points`	if `TRUE` the points are plotted in each off-diagonal panel.
`smooth`	if `TRUE` a lowess smooth is plotted in each off-diagonal panel.
`span`	span for lowess smoother.
`reg.line`	if not `FALSE` a line is plotted using the function given by this argument; e.g., using `rlm` in package `MASS` plots a robust-regression line.
`transform`	if `TRUE`, multivariate normalizing Box-Cox transformations are computed and plotted; if a vector of powers, one for each variable, these are applied as Box-Cox power transformations prior to plotting.
`ellipse`	if `TRUE` data-concentration ellipses are plotted in the off-diagonal panels.
`levels`	levels or levels at which concentration ellipses are plotted; the default is `c(.5, .9)`.
`robust`	if `TRUE` use the `cov.trob` function in the `MASS` package to calculate the center and covariance matrix for the data ellipse.
`groups`	a factor or other variable dividing the data into groups; groups are plotted with different colors and plotting characters.
`by.groups`	if `TRUE`, regression lines are fit by groups.
`pch`	plotting characters for points; default is the plotting characters in order (see `par`).
`col`	colors for points and lines; the default is the in the current color palette, starting at the second entry (see `palette` and `par`).
`lwd`	width for lines.
`cex, cex.axis, cex.labels, cex.main`	set sizes of various graphical elements; (see `par`).
`legend.plot`	if `TRUE` then a legend for the groups is plotted in the bottom-right cell.
`...`	arguments to pass down.

Value

NULL. This function is used for its side effect: producing a plot.

Author(s)

John Fox jfox@mcmaster.ca

Examples

scatterplot.matrix(~income + education + prestige | type, data=Duncan)
scatterplot.matrix(~income + education + prestige, 
    transform=TRUE, data=Duncan)

[Package car version 1.1-0 Index]