copula (version 0.999-15)

plot-methods: Methods for 'plot' in Package 'copula'

Description

Methods for plot() to draw a scatter plot of a random sample from bivariate distributions from package copula.

Usage

"plot"(x, n, xlim = 0:1, ylim = 0:1, xlab = expression(U[1]), ylab = expression(U[2]), ...)
"plot"(x, n, xlim = NULL, ylim = NULL, xlab = expression(X[1]), ylab = expression(X[2]), ...)

Arguments

x

a bivariate "matrix", "data.frame", "Copula" or a "mvdc" object.

n

when x is not matrix-like: The sample size of the random sample drawn from x.

xlim, ylim

the x- and y-axis limits.

xlab, ylab

the x- and y-axis labels.

...

additional arguments passed to plot methods, i.e., typically plot.default.

Value

See Also

splom2() for a scatter-plot matrix based on splom().

Examples

## For 2-dim. 'copula' objects
n <- 1000 # sample size
nu <- 3 # degrees of freedom
tau <- 0.5 # Kendall's tau
th <- iTau(tCopula(df = nu), tau) # corresponding parameter
cop <- tCopula(th, df = nu) # define 2-d copula object
set.seed(271)
plot(cop, n = n)

## For 2-dim. 'mvdc' objects
mvNN <- mvdc(cop, c("norm", "norm"),
             list(list(mean = 0, sd = 1), list(mean = 1)))
plot(mvNN, n = n)