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This matlab function returns a matrix of the pairwise linear correlation coefficient between each pair of columns in the input matrix x. Open in matlab online from the documentation, theme copy rho = corr (x,y) returns a matrix of the pairwise correlation coefficient between each pair of columns in the input matrices x and y. This matlab function returns the matrix of correlation coefficients for a, where the columns of a represent random variables and the rows represent observations.

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This matlab function plots pearson's correlation coefficients between all pairs of variables in the input matrix of time series data. This matlab function returns the sample linear partial correlation coefficients between pairs of variables in x, controlling for the remaining variables in x. Covariance and correlation coefficients help to describe the linear relationship between variables.

If x and y have different lengths, the function appends zeros to the end of the shorter vector so it has the same length as the other.

This matlab function returns the sample autocorrelation function (acf) and associated lags of the input univariate time series.