(a-b-test-statistic N-a n-a N-b n-b)Calculates the statistic for the hypothesis, that p-a and p-b are the same, given the outcomes for test a and b.
Calculates the statistic for the hypothesis, that p-a and p-b are the same, given the outcomes for test a and b.
(correlation-coefficient coll1 coll2)Returns the correlation coefficient for the collections coll1 and coll2.
Returns the correlation coefficient for the collections `coll1` and `coll2`.
(covariance coll1 coll2)Returns the biased sample covariance (n) for the collections coll1 and coll2.
Returns the biased sample covariance (n) for the collections `coll1` and `coll2`.
(cubic-average coll)Returns the cubic average of the values of the collection coll.
Returns the cubic average of the values of the collection `coll`.
(de-mean coll)Returns a collection with the mean substacted from each value of input collection coll.
Returns a collection with the mean substacted from each value of input collection `coll`.
(de-mean-matrix m)Returns a matrix with the column mean substacted from each value of input matrix m.
Returns a matrix with the column mean substacted from each value of input matrix `m`.
(deviation coll)Returns the biased sample deviation (n) for the collection coll.
Returns the biased sample deviation (n) for the collection `coll`.
Returns the geometric average (mean) of the values of the collection coll.
Returns the geometric average (mean) of the values of the collection `coll`.
(harmonic-average coll)Returns the harmonic average of the values of the collection coll.
Returns the harmonic average of the values of the collection `coll`.
(linear-regression coll1 coll2)Returns a vector [a b] of the linear regession coefficients for the equation y = ax + b for the collections coll1 and coll2.
Returns a vector [a b] of the linear regession coefficients for the equation y = ax + b for the collections `coll1` and `coll2`.
Returns the mean of the values of the collection coll.
Returns the mean of the values of the collection `coll`.
(median coll)Returns the median / second quartile for the collection coll.
Returns the median / second quartile for the collection `coll`.
(q-value q coll)Multiplies the count of coll with q.
Multiplies the count of `coll` with `q`.
(quantile q coll)Returns the q quantile for the collection coll.
Returns the `q` quantile for the collection `coll`.
(quartile1 coll)Returns the first quartile for the collection coll.
Returns the first quartile for the collection `coll`.
(quartile2 coll)Returns the second quartile / median for the collection coll.
Returns the second quartile / median for the collection `coll`.
(quartile3 coll)Returns the third quartile for the collection coll.
Returns the third quartile for the collection `coll`.
(rescale m)Rescales the matrix m to have a mean of 0 and an unbiased standard deviation of 1.
Rescales the matrix `m` to have a mean of 0 and an unbiased standard deviation of 1.
(scale m)Returns the mean vector and the unbiased standard deviation vector for the colums of the matrix m.
Returns the mean vector and the unbiased standard deviation vector for the colums of the matrix `m`.
(square-average coll)Returns the square average of the values of the collection coll.
Returns the square average of the values of the collection `coll`.
(unbiased-covariance coll1 coll2)Returns the unbiased sample covariance (n-1) for the collections coll1 and coll2.
Returns the unbiased sample covariance (n-1) for the collections `coll1` and `coll2`.
(unbiased-deviation coll)Returns the unbiased sample deviation (n-1) for the collection coll.
Returns the unbiased sample deviation (n-1) for the collection `coll`.
(unbiased-variance coll)Returns the unbiased sample variance (n-1) for the collection coll.
Returns the unbiased sample variance (n-1) for the collection `coll`.
(variance coll)Returns the biased sample variance (n) for the collection coll.
Returns the biased sample variance (n) for the collection `coll`.
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