Revision a84e9ffb3ac841114d4db4e70036eab333d29d2f authored by R. Wayne Oldford on 10 May 2021, 06:10:05 UTC, committed by cran-robot on 10 May 2021, 06:10:05 UTC
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l_ng_plots.scagnostics.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/l_ng_plots.R
\name{l_ng_plots.scagnostics}
\alias{l_ng_plots.scagnostics}
\title{2d Navigation Graph Setup with dynamic node fitering based on
  scagnostic measures and by using a scatterplot matrix}
\usage{
\method{l_ng_plots}{scagnostics}(measures, data, separator = ":", ...)
}
\arguments{
\item{measures}{objects from the \code{\link[scagnostics]{scagnostics}}
function from the scagnostics \R package}

\item{data}{data frame for scatterplot}

\item{separator}{a string that separates the variable pair string into the
individual variables}

\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{
This method is useful when working with objects from the
  \code{\link[scagnostics]{scagnostics}} function from the scagnostics \R
  package. In order to dynamically re-calcultate the scagnostic measures for
  a subset of the data use the \code{\link{scagnostics2d}} measures creature
  function.
}
\examples{

if(interactive()){

\dontrun{
library(scagnostics)
  scags <- scagnostics::scagnostics(oliveAcids)
  l_ng_plots(scags, oliveAcids, color=olive$Area)
}

}
}
\seealso{
\code{\link{l_ng_plots}}, \code{\link{l_ng_plots.default}},
  \code{\link{l_ng_plots.measures}}, \code{\link{measures1d}},
  \code{\link{measures2d}}, \code{\link{scagnostics2d}},
  \code{\link{l_ng_ranges}}
}
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