copula (version 0.999-18)

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

# S4 method for Copula,ANY
plot(x, n, xlim = 0:1, ylim = 0:1,
      xlab = quote(U[1]), ylab = quote(U[2]), …)
# S4 method for mvdc,ANY
plot(x, n, xlim = NULL, ylim = NULL,
      xlab = quote(X[1]), ylab = quote(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

invisible().

See Also

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

Examples

# NOT RUN {
## 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)
# }