File:Four Correlations.svg

From Wikipedia the free encyclopedia

Original file(SVG file, nominally 1,000 × 1,000 pixels, file size: 6.73 MB)

Summary

Description
English: An example of the bivariate Gaussian (normal), Student-t, Gumbel, and Clayton copulæ
Date
Source Avraham
Author
Vector:
Permission
(Reusing this file)
Public domain This chart is ineligible for copyright and therefore in the public domain, because it consists entirely of information that is common property and contains no original authorship. For more information, see Commons:Threshold of originality § Charts

العربية | Deutsch | English | español | français | italiano | 日本語 | македонски | română | русский | slovenščina | 中文(简体) | 中文(繁體) | +/−

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Other versions File:Four Correlations.png
SVG development
InfoField
 
The SVG code is valid.
 
This chart was created with R.
Source code
InfoField

R 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) 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 = 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() 

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

29 May 2020

image/svg+xml

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current08:58, 29 May 2020Thumbnail for version as of 08:58, 29 May 20201,000 × 1,000 (6.73 MB)Andel== {{int:filedesc}} == {{Information |Description={{en|1=An example of the bivariate Gaussian (normal), Student-t, Gumbel, and Clayton copulæ}} |date= 2020-05-29 |source=Avraham |author={{AutVec|{{U|Avraham}}|{{U|Andel}}|Four Correlations.png}} |permission= {{PD-chart}}{{self|cc-zero}} |other versions= File:Four Correlations.png |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 =...
The following pages on the English Wikipedia use this file (pages on other projects are not listed):

Global file usage

The following other wikis use this file:

Metadata