Cumulative Window#
Cumulatively calculate the coefficient estimate of the regression of Y on X. |
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Cumulatively calculate the correlation of X and Y. |
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Cumulatively calculate the number of non-null elements in X. |
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Cumulatively calculate the covariance of X and Y. |
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If X is a vector: |
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If X is a vector: |
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Cumulatively calculate the maximum values in X. |
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Calculate the cumulative median of X. |
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Cumulatively calculate the minimum values in X. |
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Return the cumulative count of unique elements in X. |
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If X is a vector, cumulatively calculate the given percentile of a vector. |
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Cumulatively calculate the sum of consecutive positive elements of X after the last non-positive element to the left. |
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Cumulatively calculate the product of the elements in X. |
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If X is a vector, for each element in X, return the position ranking from the first element to the current element. |
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Cumulatively calculate the standard deviation of X. |
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Cumulatively calculate the population standard deviation of X. |
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Cumulatively calculate the sum of the elements in X. |
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Cumulatively calculate the sum of squares of the elements in X. |
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Cumulatively calculate the cubes of squares of the elements in X. |
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Cumulatively calculate the fourth powers of the elements in X. |
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Cumulatively calculate the variance of X. |
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Cumulatively calculate the population variance of X. |
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Calculate the cumulative weighted average of X with Y as the weights. |
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Calculate the cumulative weighted sum of X with Y as the weights. |
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Calculate the cumulative average of X. |
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The attribute and category of an event are fixed in most cases. |
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The attribute and category of an event are fixed in most cases. |