% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/l_ng_plots.R
\name{l_ng_plots.measures}
\alias{l_ng_plots.measures}
\title{2d Navigation Graph Setup with dynamic node fitering using a
scatterplot matrix}
\usage{
\method{l_ng_plots}{measures}(measures, ...)
}
\arguments{
\item{measures}{object of class measures, see \code{\link{measures1d}},
\code{\link{measures2d}}.}
\item{...}{arguments passed on to configure the scatterplot}
}
\value{
named list with plots-, graph-, plot-, navigator-, and context
handle. The list also contains the environment of the the function call in
\code{env}.
}
\description{
Measures object is of class measures. When using measure objects
then the measures can be dynamically re-calculated for a subset of the
data.
}
\details{
Note that we provide the \code{\link{scagnostics2d}} function to
create a measures object for the scagnostics measures.
For more information run: \code{l_help("learn_R_display_graph.html#l_ng_plots")}
}
\examples{
if(interactive()){
\dontrun{
# 2d measures
scags <- scagnostics2d(oliveAcids, separator='**')
scags()
ng <- l_ng_plots(scags, color=olive$Area)
# 1d measures
scale01 <- function(x){(x-min(x))/diff(range(x))}
m1d <- measures1d(sapply(iris[,-5], scale01),
mean=mean, median=median, sd=sd,
q1=function(x)as.vector(quantile(x, probs=0.25)),
q3=function(x)as.vector(quantile(x, probs=0.75)))
m1d()
nav <- l_ng_plots(m1d, color=iris$Species)
# with only one measure
nav <- l_ng_plots(measures1d(oliveAcids, sd))
# with two measures
nav <- l_ng_plots(measures1d(oliveAcids, sd=sd, mean=mean))
}
}
}
\seealso{
\code{\link{measures1d}}, \code{\link{measures2d}},
\code{\link{scagnostics2d}}, \code{\link{l_ng_plots}},
\code{\link{l_ng_ranges}}
}