desscop: Discrete copula graph, a two-dimensional projection

In subrank: Computes Copula using Ranks and Subsampling

Discrete copula graph, a two-dimensional projection

Description

Draws a discrete joint probability, for 2 variables, using bubbles

Usage

desscop(copest, xname, yname, normalize = FALSE, axes = TRUE)

Arguments

copest	the estimated copula (the whole structure resulting from corc)
xname	the name of the variable we want to put on the horizontal axis
yname	the name of the variable we want to put on the vertical axis
normalize	if TRUE, the smallest probability is rescaled to 0, and the largest to 1
axes	if TRUE, puts the name of the variables on the axes

Author(s)

Jerome Collet

Examples

lon <- 31
a <- 2.85
x <- rnorm(lon)
y = a*x^2+rnorm(lon)
tablo = as.data.frame(cbind(x,y))
c=corc(tablo,c("x","y"),8)
desscop(c,"x","y")

tablo = as.data.frame(cbind(x=rep(0,each=lon),y=rep(0,each=lon)))
c=corc(tablo,c("x","y"),8,mixties=TRUE)
desscop(c,"x","y")

subrank documentation built on April 6, 2023, 1:11 a.m.