how to do eigenvalues decomposition on correlation/covariance matrix.

i have data set that p1,p2,p3 where all the matrix are 5*20(row*column). i calculated the correlation matrix and eigen value and the eigen vectors. i need to do eigen decomposition and plot them on 3d scatter plot, im stuck on their.
p1 = random data; p2 = random data; p3 = random data;
R1=corrcoef(transpose(p1));
[V1,D1]=eig(R1);
R2=corrcoef(transpose(p2));
[V2,D2]=eig(R2);
R3=corrcoef(transpose(p3));
[V3,D3]=eig(R3);
im stuck on here. thank you

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도움말 센터File Exchange에서 Linear Algebra에 대해 자세히 알아보기

질문:

2017년 9월 6일

편집:

2017년 9월 6일

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