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20, main = '', sub = expression("Bivariate
Gaussian copula with" ~ rho ~ "= 0.5"), xlab = '', ylab = '') plot(rCopula(n, t.cop), pch = 20, main = '', sub = expression("Bivariate Student-t copula with" ~ rho ~ "= 0.5 and dof = 1"), xlab = '', ylab = '') plot(rCopula(n, g.cop), pch = 20, main = '', sub = expression("Bivariate Gumbel copula with" ~ alpha ~ "= 4"), xlab = '', ylab = '') plot(rCopula(n, clayton.cop), pch = 20, main = '', sub = expression("Bivariate Clayton copula with" ~ alpha ~ "= 5"), xlab = '', ylab = '') dev.off()
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library(copula) n.cop <- normalCopula(0.5, 2) t.cop <- tCopula(0.5, 2, df = 1) g.cop <- gumbelCopula(4, dim = 2) clayton.cop <- claytonCopula(5, dim = 2) svg('Four
Correlations.svg', width = 11.12, height = 11.12, pointsize = 16) par(mfrow=c(2,2)) n <- 5e3 plot(rCopula(n, n.cop), pch =
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753:|other fields={{Igen|R|0|+|code= library(copula) n.cop <- normalCopula(0.5, 2) t.cop <- tCopula(0.5, 2, df = 1) g.cop <- gumbelCopula(4, dim =...
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