Descriptive statistics and computation¶
Descriptive statistics¶
Aggregates the data in the columns of a matrix based upon a column containing group ids with a choice of method. |
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Computes descriptive statistics of a dataset, dataframe, or matrix. |
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Generate frequency table. |
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Computes the Jarque-Bera goodness-of-fit test |
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Computes the sample kurtosis. |
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Computes maximum value of each column of a matrix. |
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Computes mean value of each column of a matrix. |
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Computes medians of the columns of a matrix. |
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Computes minimum value of each column of a matrix. |
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Computes mode of each column of a matrix. |
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Computes quantiles from each column in a matrix, given specified probabilities. |
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../skew |
Computes the sample skew. |
Computes the sample standard deviation of the elements in each column of a matrix. |
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Computes an unbiased estimate of a variance-covariance matrix from a matrix \(x\) or a moment matrix, \(x'x\). |
Computation¶
Computes the cumulative products of the columns of a matrix. |
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Computes the cumulative sums of the columns of a matrix. |
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Computes the products of all elements in each column of a matrix. |
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Computes the sum of each column of a matrix or the sum across the second-fastest moving dimension of an L-dimensional array. |
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Computes the sum of each row of a matrix or the sum of the fastest moving dimension of an L-dimensional array. |
Returns a column vector containing the index (i.e., row number) of the maximum element in each column of a matrix. |
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Returns a column vector containing the index (i.e., row number) of the smallest element in each column of a matrix. |