Displays Nan in correlation result

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Nirajan Khatri
Nirajan Khatri 2020 年 9 月 23 日
コメント済み: Ameer Hamza 2020 年 9 月 24 日
I am finding the correlation between the generated random variable but the result is nan, can you please help me
clear all;
clc;
N = 1000;
% standard normal distribution mean=0 and variance =1
norm_mean=0;
norm_var=1;
%generating random variable with standard normal distribution
r1= norm_mean+sqrt(norm_var)*randn(1,N);
r2= norm_mean+sqrt(norm_var)*randn(1,N);
%normal distribution PDF
xPDF= normpdf(r1,norm_mean,sqrt(norm_var));
yPDF =normpdf(r2,norm_mean,sqrt(norm_var));
%calculate normal distribution cdf
pd = makedist('Normal',norm_mean,sqrt(norm_var));
%compute the cdf values for the standard normal distribution at the values
%in random variables
y1 = cdf(pd,r1);
y2 = cdf(pd,r2);
%calculating correlation
rho= corr(r1,r2);
  1 件のコメント
Nirajan Khatri
Nirajan Khatri 2020 年 9 月 23 日
and i am trying to compute gaussian copula

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回答 (1 件)

Ameer Hamza
Ameer Hamza 2020 年 9 月 23 日
r1 and r2 shoule be column vectors in your case
rho= corr(r1(:),r2(:));
  2 件のコメント
Nirajan Khatri
Nirajan Khatri 2020 年 9 月 24 日
is it
rho= corr(y1(:),y2(:));
or
rho= corr(r1(:),r2(:));
Ameer Hamza
Ameer Hamza 2020 年 9 月 24 日
Both are correct syntax. You need to decide which one to use for this problem.

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