C06EKF
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Circular convolution or correlation of two real vectors, no extra workspace
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C06FKF
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Circular convolution or correlation of two real vectors, extra workspace for greater speed
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C06PKF
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Circular convolution or correlation of two complex vectors |
G02BAF
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Pearson product-moment correlation coefficients, all variables, no missing values
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G02BBF
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Pearson product-moment correlation coefficients, all variables, casewise treatment of missing values
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G02BCF
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Pearson product-moment correlation coefficients, all variables, pairwise treatment of missing values
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G02BGF
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Pearson product-moment correlation coefficients, subset of variables, no missing values
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G02BHF
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Pearson product-moment correlation coefficients, subset of variables, casewise treatment of missing values
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G02BJF
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Pearson product-moment correlation coefficients, subset of variables, pairwise treatment of missing values
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G02BNF
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Kendall/Spearman non-parametric rank correlation coefficients, no missing values, overwriting input data
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G02BPF
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Kendall/Spearman non-parametric rank correlation coefficients, casewise treatment of missing values, overwriting input data
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G02BQF
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Kendall/Spearman non-parametric rank correlation coefficients, no missing values, preserving input data
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G02BRF
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Kendall/Spearman non-parametric rank correlation coefficients, casewise treatment of missing values, preserving input data
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G02BSF
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Kendall/Spearman non-parametric rank correlation coefficients, pairwise treatment of missing values
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G02BWF
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Computes a correlation matrix from a sum of squares matrix
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G02BXF
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Computes (optionally weighted) correlation and covariance matrices
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G02CGF
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Multiple linear regression, from correlation coefficients, with constant term
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G02HKF
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Calculates a robust estimation of a correlation matrix, Huber's weight function
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G02HLF
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Calculates a robust estimation of a correlation matrix, user-supplied weight function plus derivatives |
G02HMF
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Calculates a robust estimation of a correlation matrix, user-supplied weight function
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G03ADF
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Performs canonical correlation analysis |
G05QBF
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Computes a random correlation matrix
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G13DNF
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Multivariate time series, sample partial lag correlation matrices, χ2 statistics and significance levels |