# scatterplot

0th

Percentile

##### Scatterplots with Boxplots

Makes fancy scatterplots, with boxplots in the margins, a lowess smooth, and a regression line; sp is an abbreviation for scatterplot.

Keywords
hplot
##### Usage
scatterplot(x, ...)

## S3 method for class 'formula':
scatterplot(formula, data, xlab, ylab, legend.title, subset, labels=FALSE, ...)

## S3 method for class 'default':
scatterplot(x, y, smooth=TRUE, span=0.5, reg.line=lm,
boxplots="xy", xlab=deparse(substitute(x)), ylab=deparse(substitute(y)),
las=par('las'), lwd=1, lwd.smooth=lwd, labels=FALSE, log="",
jitter=list(), xlim=NULL, ylim=NULL,
cex=par("cex"), cex.axis=par("cex.axis"), cex.lab=par("cex.lab"),
cex.main=par("cex.main"), cex.sub=par("cex.sub"),
groups=FALSE, by.groups=!(groups[1]==FALSE), legend.title=deparse(substitute(groups)),
ellipse=FALSE, levels=c(.5, .9), robust=FALSE,
col=rep(palette(), length.out=n.groups + 1), pch=1:n.groups,
legend.plot=length(levels(groups)) > 1, reset.par=TRUE, ...)

sp(...)
##### Arguments
formula
model'' formula, of the form y ~ x or (to plot by groups) y ~ x | z, where z evaluates to a factor or other variable dividing the data into groups.
data
data frame within which to evaluate the formula.
subset
expression defining a subset of observations.
x
vector of horizontal coordinates.
y
vector of verical coordinates.
smooth
if TRUE a lowess nonparametric regression line is drawn on the plot.
span
span for the lowess smooth.
reg.line
function to draw a regression line on the plot or FALSE not to plot a regression line.
boxplots
if "x" a boxplot for x is drawn above the plot; if "y" a boxplot for y is drawn to the right of the plot; if "xy" both boxplots are drawn.
xlab
label for horizontal axis.
ylab
label for vertical axis.
las
if 0, ticks labels are drawn parallel to the axis; set to 1 for horizontal labels (see par).
lwd
width of linear-regression lines (default 1).
lwd.smooth
width for smooth regression lines (default is the same as lwd).
labels
if not FALSE a vector of point labels, to be used interactively to identify points on the plot.
log
same as the log argument to plot, to produce log axes.
jitter
a list with elements x or y or both, specifying jitter factors for the horizontal and vertical coordinates of the points in the scatterplot. The jitter function is us
xlim
the x limits (min,max) of the plot; if NULL, determined from the data.
ylim
the y limits (min,max) of the plot; if NULL, determined from the data.
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.
legend.title
title for legend box; defaults to the name of the groups variable.
ellipse
if TRUE data-concentration ellipses are plotted.
levels
level 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.
col
colors for points and lines; the default is the current color palette, starting at the second entry and with the colors repeated if necessary. (see palette and
pch
plotting characters for points; default is the plotting characters in order (see par).
cex, cex.axis, cex.lab, cex.main, cex.sub
set sizes of various graphical elements; (see par).
legend.plot
if TRUE then a legend for the groups is plotted in the upper margin.
reset.par
if TRUE then plotting parameters are reset to their previous values when scatterplot exits; if FALSE then the mar and mfcol parameters are altered for the current plotting device.
...
other arguments passed to plot.
##### Value

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

##### See Also

graphics, boxplot, jitter scatterplot.matrix, data.ellipse, par, cov.trob.

##### Aliases
• scatterplot
• scatterplot.formula
• scatterplot.default
• sp
##### Examples
scatterplot(prestige ~ income|type, data=Prestige, span=1)

scatterplot(vocabulary ~ education, jitter=list(x=1, y=1), data=Vocab)

scatterplot(infant.mortality ~ gdp, labels=row.names(UN), data=UN)

scatterplot(infant.mortality ~ gdp, log="xy", labels=row.names(UN), data=UN)
Documentation reproduced from package car, version 1.2-16, License: GPL (>= 2)

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