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Covariance is a quantity used to measure the strength and direction of the linear relationship between two variables. The covariance is unscaled, & thus often difficult to interpret; when scaled by the variables' SDs, it becomes Pearson's correlation coefficient.

6 votes
1 answer
1k views

Function to convert arithmetic to log-based covariance matrix?

Is there a function in R that will take the mu and Sigma of an arithmetic-covariance matrix and return the mu and Sigma of a log-based covariance matrix? … I have the code for a function implementing the reverse -- from log-covariance to linear covariance -- in R (pasted below in case this is helpful). …
Ram Ahluwalia's user avatar
2 votes
1 answer
6k views

How to compute an exponentially weighted covariance matrix function in R? [closed]

Is there a function the calculates an exponentially weighted covariance matrix in R? I recall seeing a function some time ago... I cannot turn up any thing in "R Search" or Task View pages. …
Ram Ahluwalia's user avatar
4 votes
0 answers
424 views

Technique to remove factor structure from panel data

Naturally I can express this factor structure using a covariance matrix - or a set of eigenvectors and corresponding eigenvalues. …
Ram Ahluwalia's user avatar