object StatVector
The StatVector
companion object extends statistics vector operations to matrices.
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def
center(x: MatrixD, mu_x: VectorD): MatrixD
Center the input matrix 'x' to zero mean, column-wise, by subtracting the mean.
Center the input matrix 'x' to zero mean, column-wise, by subtracting the mean.
- x
the input matrix to center
- mu_x
the vector of column means of matrix x
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def
corr(x: MatrixD): MatrixD
Return the correlation matrix for the columns of matrix 'x'.
Return the correlation matrix for the columns of matrix 'x'. Note: sample vs. population results in essentailly the same values.
- x
the matrix whose column columns correlations are sought
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def
corrMat(y: VectorD): MatrixD
Return the first-order auto-regressive correlation matrix for vector (e.g., time series) 'y'.
Return the first-order auto-regressive correlation matrix for vector (e.g., time series) 'y'.
- y
the vector whose auto-regressive correlation matrix is sought
- See also
halweb.uc3m.es/esp/Personal/personas/durban/esp/web/notes/gls.pdf
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def
cov(x: MatrixD): MatrixD
Return the sample covariance matrix for the columns of matrix 'x'.
Return the sample covariance matrix for the columns of matrix 'x'.
- x
the matrix whose column covariances are sought
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def
covMat(y: VectorD): MatrixD
Return the first-order auto-regressive covariance matrix for vector (e.g., time series) 'y'.
Return the first-order auto-regressive covariance matrix for vector (e.g., time series) 'y'.
- y
the vector whose auto-regressive covariance matrix is sought
- See also
halweb.uc3m.es/esp/Personal/personas/durban/esp/web/notes/gls.pdf
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def
mean(x: MatrixD): VectorD
Return the mean vector containing the means of each column of matrix 'x'.
Return the mean vector containing the means of each column of matrix 'x'.
- x
the matrix whose column means are sought
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def
pcov(x: MatrixD): MatrixD
Return the population covariance matrix for the columns of matrix 'x'.
Return the population covariance matrix for the columns of matrix 'x'.
- x
the matrix whose column columns covariances are sought
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