The R Project SVN R

\name{pairs}
\alias{pairs}
\alias{pairs.default}
\alias{pairs.formula}

\title{Scatterplot Matrices}
\description{
  A matrix of scatterplots is produced.
}
\usage{
pairs(x, \dots)

\method{pairs}{formula}(formula, data = NULL, \dots, subset,
      na.action = stats::na.pass)

\method{pairs}{default}(x, labels, panel = points, \dots,
      lower.panel = panel, upper.panel = panel,
      diag.panel = NULL, text.panel = textPanel,
      label.pos = 0.5 + has.diag/3,
      cex.labels = NULL, font.labels = 1,
      row1attop = TRUE, gap = 1)
}
\arguments{
  \item{x}{the coordinates of points given as numeric columns of a 
    matrix or dataframe.  Logical and factor columns are converted to
    numeric in the same way that \code{\link{data.matrix}} does.
  }
  \item{formula}{a formula, such as \code{~ x + y + z}.  Each term will
    give a separate variable in the pairs plot, so terms should be
    numeric vectors.  (A response will be interpreted as another
    variable, but not treated specially, so it is confusing to use one.)}
  \item{data}{a data.frame (or list) from which the variables in
    \code{formula} should be taken.}
  \item{subset}{an optional vector specifying a subset of observations
    to be used for plotting.}
  \item{na.action}{a function which indicates what should happen
    when the data contain \code{NA}s.  The default is to pass missing
    values on to the panel functions, but \code{na.action = na.omit}
    will cause cases with missing values in any of the variables to be
    omitted entirely.}
  \item{labels}{the names of the variables.}
  \item{panel}{\code{function(x,y,\dots)} which is used to plot
    the contents of each panel of the display.}
  \item{\dots}{
    arguments to be passed to or from methods.
    
    Also, graphical parameters can be given as can arguments to
    \code{plot} such as \code{main}.  \code{par("oma")} will be set
    appropriately unless specified.
  }
  \item{lower.panel, upper.panel}{separate panel functions to be used
    below and above the diagonal respectively.}
  \item{diag.panel}{optional \code{function(x, \dots)} to be
    applied on the diagonals.}
  \item{text.panel}{optional \code{function(x, y, labels, cex,
      font, \dots)} to be applied on the diagonals.}
  \item{label.pos}{\code{y} position of labels in the text panel.}
  \item{cex.labels, font.labels}{graphics parameters for the text panel.}
  \item{row1attop}{logical. Should the layout be matrix-like with row 1
    at the top, or graph-like with row 1 at the bottom?}
  \item{gap}{Distance between subplots, in margin lines.}
}
\details{
  The \eqn{ij}th scatterplot contains \code{x[,i]} plotted against
  \code{x[,j]}.  The \dQuote{scatterplot} can be customised by setting panel
  functions to appear as something completely different. The
  off-diagonal panel functions are passed the appropriate columns of
  \code{x} as \code{x} and \code{y}: the diagonal panel function (if
  any) is passed a single column, and the \code{text.panel} function is
  passed a single \code{(x, y)} location and the column name.

  The graphical parameters \code{pch} and \code{col} can be used to
  specify a vector of plotting symbols and colors to be used in the
  plots.

  The graphical parameter \code{oma} will be set by \code{pairs.default}
  unless supplied as an argument.

  A panel function should not attempt to start a new plot, but just plot
  within a given coordinate system: thus \code{plot} and \code{boxplot}
  are not panel functions.

  By default, missing values are passed to the panel functions and will
  often be ignored within a panel.  However, for the formula method and
  \code{na.action = na.omit}, all cases which contain a missing values for
  any of the variables are omitted completely (including when the scales
  are selected).
}
\author{
  Enhancements for \R 1.0.0 contributed by Dr. Jens
  Oehlschlaegel-Akiyoshi and R-core members.
}
\references{
  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
  \emph{The New S Language}.
  Wadsworth \& Brooks/Cole.
}
\examples{
pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species",
      pch = 21, bg = c("red", "green3", "blue")[unclass(iris$Species)])

## formula method
pairs(~ Fertility + Education + Catholic, data = swiss,
      subset = Education < 20, main = "Swiss data, Education < 20")

pairs(USJudgeRatings)

## put histograms on the diagonal
panel.hist <- function(x, ...)
{
    usr <- par("usr"); on.exit(par(usr))
    par(usr = c(usr[1:2], 0, 1.5) )
    h <- hist(x, plot = FALSE)
    breaks <- h$breaks; nB <- length(breaks)
    y <- h$counts; y <- y/max(y)
    rect(breaks[-nB], 0, breaks[-1], y, col="cyan", ...)
}
pairs(USJudgeRatings[1:5], panel=panel.smooth,
      cex = 1.5, pch = 24, bg="light blue",
      diag.panel=panel.hist, cex.labels = 2, font.labels=2)

## put (absolute) correlations on the upper panels,
## with size proportional to the correlations.
panel.cor <- function(x, y, digits=2, prefix="", cex.cor)
{
    usr <- par("usr"); on.exit(par(usr))
    par(usr = c(0, 1, 0, 1))
    r <- abs(cor(x, y))
    txt <- format(c(r, 0.123456789), digits=digits)[1]
    txt <- paste(prefix, txt, sep="")
    if(missing(cex.cor)) cex <- 0.8/strwidth(txt)
    text(0.5, 0.5, txt, cex = cex * r)
}
pairs(USJudgeRatings, lower.panel=panel.smooth, upper.panel=panel.cor)
}
\keyword{hplot}