Descriptive Statistics

Descriptive Statistics#

Partial Sum#

ctx.mat_sum(mat, partialmode)#

Calculates the PartialSum. Writing matA.sum(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Product#

ctx.mat_prod(matA, partialmode)#

Calculates the PartialProd. Writing matA.prod(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Arithmetic Mean#

ctx.mat_mean(matA, partialmode)#

Calculates the PartialMean. Writing matA.mean(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Minimal Coefficient#

ctx.mat_min_coeff(matA, partialmode)#

Calculates the PartialMinCoeff. Writing matA.min_coeff(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Maximal Coefficient#

ctx.mat_max_coeff(matA, partialmode)#

Calculates the PartialMaxCoeff. Writing matA.max_coeff(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Trace#

ctx.mat_trace(matA)#

Returns the trace of the matrix \(A\). Writing matA.Trace() has the same effect.

See also: Eigen [237], Wikipedia [1395].

Partial Squared Norm#

ctx.mat_squared_norm(matA, partialmode)#

Calculates the PartialSquaredNorm. Writing matA.PartialSquaredNorm(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Norm#

ctx.mat_norm(matA, partialmode)#

Calculates the PartialNorm. Writing matA.PartialNorm(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Partial Stable Norm#

ctx.mat_stable_norm(matA, partialmode)#

Calculates the PartialStableNorm. Writing matA.PartialStableNorm(partialmode) has the same effect.

Here partialmode is set as follows: 1 for full matrix calculation, 2 for rowwise calculation, 3 for columnwise calculation.

See also: Eigen [237].

Covariance matrix#

ctx.mat_covariance(matA)#

Calculates the covariance matrix. Writing matA.Covariance() has the same effect.

See also: Wikipedia [1391], Wikipedia [1371].

Correlation matrix#

ctx.mat_correlation(matA)#

Calculates the correlation matrix. Writing matA.Correlation_mat() has the same effect.

See also: Wikipedia [1369].

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