Show interactive application to explore conditional correlations

Launches an interactive Shiny application for visual exploration of conditional correlation patterns. The explorer provides tools for inspecting pattern quality, comparing measures, and interactively filtering subsets of patterns. When the original dataset is supplied, the application also allows for contextual exploration of correlations with respect to the underlying data.

Usage

# S3 method for class 'correlations'
explore(x, data = NULL, ...)

Arguments

x

An object of S3 class correlations, typically created with dig_correlations().

data

An optional data frame containing the dataset from which the correlations were computed. Providing this enables additional contextual features in the explorer, such as examining supporting records.

...

Currently ignored.

Value

An object of class shiny.appobj representing the Shiny application. When "printed" in an interactive R session, the application is launched immediately in the default web browser.

See also

dig_correlations()

Author

Michal Burda

Examples

if (FALSE) { # \dontrun{
d <- partition(iris, Species)
res <- dig_correlations(d,
                        condition = where(is.logical),
                        xvars = Sepal.Length:Petal.Width,
                        yvars = Sepal.Length:Petal.Width)

# launch the interactive explorer
explore(res, data = d)
} # }