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\name{imputePairs}
\alias{imputePairs}
\title{
Pairwise Scatter Plots showing Missing Data Imputations
}
\description{
Creates a scatter plot for each pair of variables in given data,
allowing display of imputations for missing values in different
colors and symbols than non missing values.
}
\usage{
imputePairs(data, dataImp,
symbols = c(1,16), colors = c("black", "red"), 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 = 0.2)
}
\arguments{
\item{data}{
A numeric vector, matrix, or data frame of observations containing
missing values. Categorical variables are not allowed. If a matrix
or data frame, rows correspond to observations and columns
correspond to variables.
}
\item{dataImp}{
The dataset \code{data} with missing values imputed.
}
\item{symbols}{
Either an integer or character vector assigning plotting symbols to
the nonmissing data and impued values, respectively. The default is a
closed circle for the nonmissing data
and an open circle for the imputed values.
}
\item{colors}{
Either an integer or character vector assigning colors to
the nonmissing data and impued values, respectively. The default is
black for the nonmissing data and red for the imputed values.
}
\item{labels}{
As in function \code{pairs}.
}
\item{panel}{
As in function \code{pairs}.
}
\item{\dots}{
As in function \code{pairs}.
}
\item{lower.panel}{
As in function \code{pairs}.
}
\item{upper.panel}{
As in function \code{pairs}.
}
\item{diag.panel}{
As in function \code{pairs}.
}
\item{text.panel}{
As in function \code{pairs}.
}
\item{label.pos}{
As in function \code{pairs}.
}
\item{cex.labels}{
As in function \code{pairs}.
}
\item{font.labels}{
As in function \code{pairs}.
}
\item{row1attop}{
As in function \code{pairs}.
}
\item{gap}{
As in function \code{pairs}.
}
}
\value{
A pairs plot displaying the location of missing and nonmissing values.
}
\references{
Schafer J. L. (1997). Analysis of Imcomplete Multivariate Data, Chapman and Hall.
}
\seealso{
\code{\link{pairs}},
\code{\link{imputeData}}
}
\examples{
\donttest{
# Note that package 'mix' must be installed
data(stlouis, package = "mix")
# impute the continuos variables in the stlouis data
stlimp <- imputeData(stlouis[,-(1:3)])
# plot imputed values
imputePairs(stlouis[,-(1:3)], stlimp)
}
}
\keyword{cluster}
|
