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L1c1b : Covariance, correlation

G02AAF    Computes the nearest correlation matrix to a real square matrix, using the method of Qi and Sun
G02BAF    Pearson product-moment correlation coefficients, all variables, no missing values
G02BGF    Pearson product-moment correlation coefficients, subset of variables, no missing values
G02BNF    Kendall/Spearman non-parametric rank correlation coefficients, no missing values, overwriting input data
G02BQF    Kendall/Spearman non-parametric rank correlation coefficients, no missing values, preserving input data
G02BTF    Update a weighted sum of squares matrix with a new observation
G02BUF    Computes a weighted sum of squares matrix
G02BWF    Computes a correlation matrix from a sum of squares matrix
G02BXF    Computes (optionally weighted) correlation and covariance matrices
G02BYF    Computes partial correlation/variance-covariance matrix from correlation/variance-covariance matrix computed by G02BXF
G02HKF    Calculates a robust estimation of a correlation matrix, Huber's weight function
G02HLF    Calculates a robust estimation of a correlation matrix, user-supplied weight function plus derivatives
G02HMF    Calculates a robust estimation of a correlation matrix, user-supplied weight function

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© The Numerical Algorithms Group Ltd, Oxford UK. 2009