p values from correlation matrix using nancov

2 Ansichten (letzte 30 Tage)
JacquelineK
JacquelineK am 21 Sep. 2017
Kommentiert: JacquelineK am 23 Sep. 2017
I have a matrix A 225x13 containing missing values.
Because of the missing values I can not use corrcoef for my correlation matrix. Nor can I use [r,p].
So my current code looks like this:
Cov_A = nancov(A)
R = corrcov(Cov_A)
With corrcoef it would definetely be easier to just:
[r,p] = corrcoef(B);
[i,p] = find(p<0.05);
[i,p]
How do I get the same results, meaning r and p with "corrcov"? Or is it even possible to get pvalues with corrcov??

Akzeptierte Antwort

Brendan Hamm
Brendan Hamm am 22 Sep. 2017
The corrcoef function accepts Name-Value pair inputs to handle missing data.
[r,p] = corrcoeff(B,'rows','complete')
[r,p] = corcoeff(B,'rows','pairwise')

Weitere Antworten (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by