l_ng_ranges.scagnostics: 2d Navigation Graph Setup with dynamic node fitering based on...

In loon: Interactive Statistical Data Visualization

2d Navigation Graph Setup with dynamic node fitering based on scagnostic measures and using a slider

Description

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

Usage

## S3 method for class 'scagnostics'
l_ng_ranges(measures, data, separator = ":", ...)

Arguments

measures	objects from the scagnostics function from the scagnostics R package
data	data frame for scatterplot
separator	a string that separates the variable pair string into the individual variables
...	arguments passed on to configure the scatterplot

Details

For more information run: l_help("learn_R_display_graph.html#l_ng_ranges")

Value

named list with plots-, graph-, plot-, navigator-, and context handle. The list also contains the environment of the the function call in env.

See Also

l_ng_ranges, l_ng_ranges.default, l_ng_ranges.measures, measures1d, measures2d, scagnostics2d, l_ng_ranges

Examples

## Not run: 
if (requireNamespace("scagnostics", quietly = TRUE)) {
  s <- scagnostics::scagnostics(oliveAcids)
  ng <- l_ng_ranges(s, oliveAcids, color=olive$Area)
}

## End(Not run)

loon documentation built on July 9, 2023, 5:48 p.m.