File:Four Correlations.png
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Summary
| DescriptionFour Correlations.png |
English: An example of the bivariate Gaussian (normal), Student-t, Gumbel, and Clayton copulæ |
| Date | |
| Source | Own work |
| Author | Avraham |
Source code
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)
png('FourCorrelations.png', type = 'cairo', width = 800, height = 800, pointsize = 16)
par(mfrow=c(2,2))
n <- 5e3
plot(rCopula(n, n.cop), pch = 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()
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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29 January 2015
image/png
94,100 byte
800 pixel
800 pixel
ca291c7fa0206192232f76ccdeda38656d5c21c0
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 02:39, 30 January 2015 | 800 × 800 (92 KB) | wikimediacommons>Avraham | Better for screen display, I believe. |
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