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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/marginmatrix.R
\name{marginmatrix}
\alias{marginmatrix}
\title{Marginplot Matrix}
\usage{
marginmatrix(
x,
delimiter = NULL,
col = c("skyblue", "red", "red4", "orange", "orange4"),
alpha = NULL,
...
)
}
\arguments{
\item{x}{a matrix or \code{data.frame}.}
\item{delimiter}{a character-vector to distinguish between variables and
imputation-indices for imputed variables (therefore, \code{x} needs to have
\code{\link[=colnames]{colnames()}}). If given, it is used to determine the corresponding
imputation-index for any imputed variable (a logical-vector indicating which
values of the variable have been imputed). If such imputation-indices are
found, they are used for highlighting and the colors are adjusted according
to the given colors for imputed variables (see \code{col}).}
\item{col}{a vector of length five giving the colors to be used in the
marginplots in the off-diagonal panels. The first color is used for the
scatterplot and the boxplots for the available data, the second/fourth color
for the univariate scatterplots and boxplots for the missing/imputed values
in one variable, and the third/fifth color for the frequency of
missing/imputed values in both variables (see \sQuote{Details}). If only
one color is supplied, it is used for the bivariate and univariate
scatterplots and the boxplots for missing/imputed values in one variable,
whereas the boxplots for the available data are transparent. Else if two
colors are supplied, the second one is recycled.}
\item{alpha}{a numeric value between 0 and 1 giving the level of
transparency of the colors, or \code{NULL}. This can be used to prevent
overplotting.}
\item{\dots}{further arguments and graphical parameters to be passed to
\code{\link[=pairsVIM]{pairsVIM()}} and \code{\link[=marginplot]{marginplot()}}. \code{par("oma")} will
be set appropriately unless supplied (see \code{\link[graphics:par]{graphics::par()}}).}
}
\description{
Create a scatterplot matrix with information about missing/imputed values in
the plot margins of each panel.
}
\details{
\code{marginmatrix} uses \code{\link[=pairsVIM]{pairsVIM()}} with a panel function based
on \code{\link[=marginplot]{marginplot()}}.
The graphical parameter \code{oma} will be set unless supplied as an
argument.
}
\examples{
data(sleep, package = "VIM")
## for missing values
x <- sleep[, 1:5]
x[,c(1,2,4)] <- log10(x[,c(1,2,4)])
marginmatrix(x)
## for imputed values
x_imp <- kNN(sleep[, 1:5])
x_imp[,c(1,2,4)] <- log10(x_imp[,c(1,2,4)])
marginmatrix(x_imp, delimiter = "_imp")
}
\references{
M. Templ, A. Alfons, P. Filzmoser (2012) Exploring incomplete
data using visualization tools. \emph{Journal of Advances in Data Analysis
and Classification}, Online first. DOI: 10.1007/s11634-011-0102-y.
}
\seealso{
\code{\link[=marginplot]{marginplot()}}, \code{\link[=pairsVIM]{pairsVIM()}},
\code{\link[=scattmatrixMiss]{scattmatrixMiss()}}
Other plotting functions:
\code{\link{aggr}()},
\code{\link{barMiss}()},
\code{\link{histMiss}()},
\code{\link{marginplot}()},
\code{\link{matrixplot}()},
\code{\link{mosaicMiss}()},
\code{\link{pairsVIM}()},
\code{\link{parcoordMiss}()},
\code{\link{pbox}()},
\code{\link{scattJitt}()},
\code{\link{scattMiss}()},
\code{\link{scattmatrixMiss}()},
\code{\link{spineMiss}()}
}
\author{
Andreas Alfons, modifications by Bernd Prantner
}
\concept{plotting functions}
\keyword{hplot}
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