<< Overview of NaN features
NaN Toolbox
Classification >>
NaN Toolbox
>>
NaN Toolbox
> Data Correlation and Covariance
Data Correlation and Covariance
nan_conv
—
Convolve two vectors.
nan_conv2
—
performs 2D convolution of matrices a and b
nan_conv2nan
—
calculates 2-dim convolution between X and Y
nan_cor
—
calculates the correlation matrix
nan_corrcoef
—
calculates the correlation matrix from pairwise correlations.
nan_corrcov
—
Compute correlation matrix from covariance matrix.
nan_cov
—
calculates covariance matrix
nan_covm
—
generates covariance matrix
nan_decovm
—
decomposes extended covariance matrix
nan_ecovm
—
produces an extended Covariance matrix,
nan_partcorrcoef
—
calculates the partial correlation between X and Y after removing the influence of Z.
nan_rankcorr
—
calculated the rank correlation coefficient.
nan_tiedrank
—
compute rank of samples, the mean value is used in case of ties
nan_xcorr
—
Compute correlation R_xy of X and Y for various lags k:
nan_xcorr2
—
Compute the 2D correlation
nan_xcov
—
Compute covariance at various lags[=correlation(x-mean(x),y-mean(y))].
nan_xcovf
—
generates cross-covariance function.
<< Overview of NaN features
NaN Toolbox
Classification >>