sp is an abbreviation for
scatterplot.scatterplot(x, ...)
## S3 method for class 'formula':
scatterplot(formula, data, xlab, ylab, 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, labels=FALSE, log="", jitter=list(),
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),
ellipse=FALSE, levels=c(.5, .9), robust=FALSE,
col=palette(), pch=1:n.groups, legend.plot=length(levels(groups)) > 1,
reset.par=TRUE, ...)
sp(...)y ~ x or
(to plot by groups) y ~ x | z, where z evaluates to a factor
or other variable dividing the data into groups.TRUE a lowess nonparametric regression line is
drawn on the plot.FALSE not to plot a regression line."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.0, ticks labels are drawn parallel to the
axis; set to 1 for horizontal labels (see par).FALSE a vector of point labels, to be used interactively
to identify points on the plot.log argument to plot, to produce log axes.x or y or both, specifying jitter factors
for the horizontal and vertical coordinates of the points in the scatterplot. The
jitter function is usTRUE, regression lines are fit by groups.TRUE data-concentration ellipses are plotted.c(.5, .9).TRUE use the cov.trob function in the MASS package
to calculate the center and covariance matrix for the data ellipse.par).par).TRUE then a legend for the groups is plotted, and positioned
interactively with a mouse click; if points are to be labelled, then the legend is
positioned first.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. plot.NULL. This function is used for its side effect: producing
a plot.graphics, boxplot,
jitter
scatterplot.matrix, data.ellipse,
par, cov.trob.data(Prestige)
scatterplot(prestige ~ income|type, data=Prestige, span=1, legend=FALSE)
data(Vocab)
scatterplot(vocabulary ~ education, jitter=list(x=1, y=1), data=Vocab)
data(UN)
scatterplot(infant.mortality ~ gdp, labels=row.names(UN), data=UN)
scatterplot(infant.mortality ~ gdp, log="xy", labels=row.names(UN), data=UN)Run the code above in your browser using DataLab