pairs2: Scatter-Plot Matrix ('pairs') for Copula Distributions with...

In copula: Multivariate Dependence with Copulas

Scatter-Plot Matrix ('pairs') for Copula Distributions with Nice Defaults

Description

A version of graphics' package pairs(), particularly useful for visualizing dependence in multivariate (copula) data.

Usage

pairs2(x, labels = NULL, labels.null.lab = "U", ...)

Arguments

x	a numeric matrix or an R object for which as.matrix(x) returns such a matrix.
labels	the variable names, typically unspecified.
labels.null.lab	the character string determining the “base name” of the variable labels in case labels is NULL and x does not have all column names given.
...	further arguments, passed to pairs().

Value

invisible()

See Also

splom2() for a similar function based on splom().

Examples

## Create a 100 x 7 matrix of random variates from a t distribution
## with four degrees of freedom and plot the generated data
U <- matrix(rt(700, df = 4), ncol = 7)
pairs2(U, pch = ".")

copula documentation built on Feb. 7, 2024, 3:01 p.m.