2d Navigation Graph Setup with dynamic node fitering using a slider

Measures object is of class measures. When using measure objects then the measures can be dynamically re-calculated for a subset of the data.

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

Arguments

measures	object of class measures, see measures1d, measures2d.
...	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 env.

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_ranges")

See also

measures1d, measures2d, scagnostics2d, l_ng_ranges, l_ng_plots

Examples

# 2d measures
# s <- scagnostics2d(oliveAcids)
# nav <- l_ng_ranges(s, 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()
#>                   mean    median        sd         q1        q3
#> Sepal.Length 0.4287037 0.4166667 0.2300184 0.22222222 0.5833333
#> Sepal.Width  0.4405556 0.4166667 0.1816110 0.33333333 0.5416667
#> Petal.Length 0.4674576 0.5677966 0.2992031 0.10169492 0.6949153
#> Petal.Width  0.4580556 0.5000000 0.3175990 0.08333333 0.7083333

nav <- l_ng_ranges(m1d, color=iris$Species)