loon (version 1.4.1)

l_ng_plots.measures: 2d Navigation Graph Setup with dynamic node fitering using a scatterplot matrix

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.

Usage

# S3 method for measures
l_ng_plots(measures, ...)

Value

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

env.

Arguments

measures

object of class measures, see measures1d, measures2d.

...

arguments passed on to configure the scatterplot

Details

Note that we provide the scagnostics2d function to create a measures object for the scagnostics measures.

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

See Also

measures1d, measures2d, scagnostics2d, l_ng_plots, l_ng_ranges

Examples

if(interactive()){

if (FALSE) {
# 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))
}

}