\HeaderA{pie}{Pie Charts}{pie}
\keyword{hplot}{pie}
\begin{Description}\relax
Draw a pie chart.
\end{Description}
\begin{Usage}
\begin{verbatim}
pie(x, labels = names(x), edges = 200, radius = 0.8,
    density = NULL, angle = 45, col = NULL, border = NULL,
    lty = NULL, main = NULL, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] a vector of positive quantities.
The values in \code{x} are displayed as the areas of pie slices.
\item[\code{labels}] a vector of character strings giving names for the
slices.  For empty or NA labels, no pointing line is drawn either.
\item[\code{edges}] the circular outline of the pie is approximated by a
polygon with this many edges.
\item[\code{radius}] the pie is drawn centered in a square box whose sides
range from \eqn{-1}{} to \eqn{1}{}.  If the character strings labeling
the slices are long it may be necessary to use a smaller radius.
\item[\code{density}] the density of shading lines, in lines per inch.
The default value of \code{NULL} means that no shading lines
are drawn. Non-positive values of \code{density} also inhibit the
drawing of shading lines.
\item[\code{angle}] the slope of shading lines, given as an angle in
degrees (counter-clockwise).
\item[\code{col}] a vector of colors to be used in filling or shading
the slices. If missing a set of 6 pastel colours is used,
unless \code{density} is specified when \code{par("fg")} is used.
\item[\code{border, lty}] (possibly vectors) arguments passed to
\code{\LinkA{polygon}{polygon}} which draws each slice.
\item[\code{main}] an overall title for the plot.
\item[\code{...}] graphical parameters can be given as arguments to
\code{pie}.  They will affect the main title and labels only.
\end{ldescription}
\end{Arguments}
\begin{Note}\relax
Pie charts are a very bad way of displaying information.
The eye is good at judging linear measures and bad at judging
relative areas.  A bar chart or dot chart is a preferable way of
displaying this type of data.

Cleveland (1985), page 264: \dQuote{Data that can be shown by pie charts
always can be shown by a dot chart.  This means that judgements of
position along a common scale can be made instead of the less
accurate angle judgements.}
This statement is based on the empirical investigations of Cleveland
and McGill as well as investigations by perceptual psychologists.

Prior to \R{} 1.5.0 this was known as \code{piechart}, which is the name
of a Trellis function, so the name was changed to be compatible with S.
\end{Note}
\begin{References}\relax
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
\emph{The New S Language}.
Wadsworth \& Brooks/Cole.

Cleveland, W. S. (1985)
\emph{The elements of graphing data}.
Wadsworth: Monterey, CA, USA.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{dotchart}{dotchart}}.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
pie(rep(1, 24), col = rainbow(24), radius = 0.9)

pie.sales <- c(0.12, 0.3, 0.26, 0.16, 0.04, 0.12)
names(pie.sales) <- c("Blueberry", "Cherry",
    "Apple", "Boston Cream", "Other", "Vanilla Cream")
pie(pie.sales) # default colours
pie(pie.sales,
    col = c("purple", "violetred1", "green3", "cornsilk", "cyan", "white"))
pie(pie.sales, col = gray(seq(0.4,1.0,length=6)))
pie(pie.sales, density = 10, angle = 15 + 10 * 1:6)

n <- 200
pie(rep(1,n), labels="", col=rainbow(n), border=NA,
    main = "pie(*, labels=\"\", col=rainbow(n), border=NA,..")
\end{ExampleCode}
\end{Examples}

