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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mapMiss.R
\name{mapMiss}
\alias{mapMiss}
\title{Map with information about missing/imputed values}
\usage{
mapMiss(
x,
coords,
map,
delimiter = NULL,
selection = c("any", "all"),
col = c("skyblue", "red", "orange"),
alpha = NULL,
pch = c(19, 15),
col.map = grey(0.5),
legend = TRUE,
interactive = TRUE,
...
)
}
\arguments{
\item{x}{a vector, matrix or \code{data.frame}.}
\item{coords}{a \code{data.frame} or matrix with two columns giving the
spatial coordinates of the observations.}
\item{map}{a background map to be passed to \code{\link[=bgmap]{bgmap()}}.}
\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{selection}{the selection method for displaying missing/imputed values
in the map. Possible values are \code{"any"} (display missing/imputed
values in \emph{any} variable) and \code{"all"} (display missing/imputed
values in \emph{all} variables).}
\item{col}{a vector of length three giving the colors to be used for
observed, missing and imputed values. If a single color is supplied, it is
used for all values.}
\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{pch}{a vector of length two giving the plot characters to be used for
observed and missing/imputed values. If a single plot character is
supplied, it will be used for both.}
\item{col.map}{the color to be used for the background map.}
\item{legend}{a logical indicating whether a legend should be plotted.}
\item{interactive}{a logical indicating whether information about selected
observations can be displayed interactively (see \sQuote{Details}).}
\item{\dots}{further graphical parameters to be passed to
\code{\link[=bgmap]{bgmap()}} and \code{\link[graphics:points]{graphics::points()}}.}
}
\description{
Map of observed and missing/imputed values.
}
\details{
If \code{interactive=TRUE}, detailed information for an observation can be
printed on the console by clicking on the corresponding point. Clicking in
a region that does not contain any points quits the interactive session.
}
\examples{
data(chorizonDL, package = "VIM")
data(kola.background, package = "VIM")
coo <- chorizonDL[, c("XCOO", "YCOO")]
## for missing values
x <- chorizonDL[, c("As", "Bi")]
mapMiss(x, coo, kola.background)
## for imputed values
x_imp <- kNN(chorizonDL[, c("As", "Bi")])
mapMiss(x_imp, coo, kola.background, 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[=bgmap]{bgmap()}}, \code{\link[=bubbleMiss]{bubbleMiss()}},
\code{\link[=colormapMiss]{colormapMiss()}}
}
\author{
Matthias Templ, Andreas Alfons, modifications by Bernd Prantner
}
\keyword{hplot}
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