correlation coefficients for a matrix that includes NaNs
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I am trying to determine correlation coefficients and p values for different parameters of timeseries data. I have a matrix of five variables (each variable is a column and rows are times). I don't have data for every parameters at every timestamp so there are NaNs during the no value periods. Is there a function that will determine correlation coefficients for a dataset that includes NaNs? Right now I am using corrcoef and it gives me matrices for the pvalues and coefficients that are all 5 by 5 and filled with all NaNs. Any ideas?
Right now I am doing this: [R, P] = corrcoef(PK6mab) using the matrix in the mat file attached
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David Hill
2019년 9월 20일
[R,P]=corrcoef(rmmissing(PK6mab));
If you can tolerate deleting the entire rows of any missed data.
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