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\name{plot.formula}
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\alias{plot.formula}
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\alias{lines.formula}
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\alias{points.formula}
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\title{Formula Notation for Scatterplots}
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\description{
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Specify a scatterplot or add points or lines via a formula.
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}
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\usage{
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\method{plot}{formula}(formula, data = parent.frame(), \dots, subset,
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ylab = varnames[response], ask = TRUE)
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\method{points}{formula}(formula, data = parent.frame(), \dots, subset)
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\method{lines}{formula}(formula, data = parent.frame(), \dots, subset)
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}
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\arguments{
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\item{formula}{a \code{\link[stats]{formula}}, such as \code{y ~ x}.}
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\item{data}{a data.frame (or list) from which the variables in
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\code{formula} should be taken.}
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\item{\dots}{Further graphical parameters may also be passed as
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arguments, see \code{\link{par}}. \code{horizontal = TRUE}
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is also accepted.}
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\item{subset}{an optional vector specifying a subset of observations
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to be used in the fitting process.}
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\item{ylab}{the y label of the plot(s).}
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\item{ask}{logical, see \code{\link{par}}.}
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}
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\details{
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Both the terms in the formula and the \code{\dots} arguments are
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evaluated in \code{data} enclosed in \code{parent.frame()} if
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\code{data} is a list or a data frame. The terms of the formula and
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those arguments in \code{\dots} that are of the same length as
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\code{data} are subjected to the subsetting specified in
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\code{subset}. If the formula in \code{plot.formula} contains more
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than one non-response term, a series of plots of y against each term
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is given. A plot against the running index can be specified as
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\code{plot(y~1)}.
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If \code{y} is an object (ie. has a \code{\link[base]{class}} attribute)
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then \code{plot.formula} looks for a plot method for that class first.
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Otherwise, the class of \code{x} will determine the type of the plot.
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For factors this will be a parallel boxplot, and argument
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\code{horizontal = TRUE} can be used (see \code{\link{boxplot}}).
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}
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\value{
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These functions are invoked for their side effect of drawing
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in the active graphics device.
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}
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\seealso{
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\code{\link{plot.default}}, \code{\link{plot.factor}}.
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}
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\examples{
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data(airquality)
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op <- par(mfrow=c(2,1))
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plot(Ozone ~ Wind, data = airquality, pch=as.character(Month))
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plot(Ozone ~ Wind, data = airquality, pch=as.character(Month),
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subset = Month != 7)
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par(op)
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}
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\keyword{hplot}
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