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org.soulspace.math.statistics


a-b-test-statisticclj/s

(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.
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correlation-coefficientclj/s

(correlation-coefficient coll1 coll2)

Returns the correlation coefficient

Returns the correlation coefficient
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covarianceclj/s

(covariance coll1 coll2)

Returns the biased sample covariance (n)

Returns the biased sample covariance (n)
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cubic-averageclj/s

(cubic-average coll)

Returns the cubic average of the values of the coll.

Returns the cubic average of the values of the coll.
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de-meanclj/s

(de-mean coll)

Returns a collection with the mean substacted from each value of input coll.

Returns a collection with the mean substacted from each value of input coll.
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de-mean-matrixclj/s

(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.
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deviationclj/s

(deviation coll)

Returns the biased sample deviation (n)

Returns the biased sample deviation (n)
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geometric-averageclj/s

Returns the geometric average (mean) of the values of the coll.

Returns the geometric average (mean) of the values of the coll.
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harmonic-averageclj/s

(harmonic-average coll)

Returns the harmonic average of the values of the coll.

Returns the harmonic average of the values of the coll.
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linear-regressionclj/s

(linear-regression coll1 coll2)

Returns a vector [a b] of the linear regession coefficients for the equation y = ax + b.

Returns a vector [a b] of the linear regession coefficients for the equation y = ax + b.
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meanclj/s

Returns the mean of the values of the coll.

Returns the mean of the values of the coll.
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medianclj/s

(median coll)

Returns the median / second quartile

Returns the median / second quartile
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q-valueclj/s

(q-value q coll)

Multiplies the count of coll with q.

Multiplies the count of coll with q.
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quantileclj/s

(quantile q coll)

Returns the q quantile

Returns the q quantile
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quartile1clj/s

(quartile1 coll)

Returns the first quartile

Returns the first quartile
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quartile2clj/s

(quartile2 coll)

Returns the second quartile / median

Returns the second quartile / median
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quartile3clj/s

(quartile3 coll)

Returns the third quartile

Returns the third quartile
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rescaleclj/s

(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.
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scaleclj/s

(scale m)

Returns the mean vector and the unbiased standard deviation vector for the colums of the matrix.

Returns the mean vector and the unbiased standard deviation vector for the colums of the matrix.
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square-averageclj/s

(square-average coll)

Returns the square average of the values of the coll.

Returns the square average of the values of the coll.
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unbiased-covarianceclj/s

(unbiased-covariance coll1 coll2)

Returns the unbiased sample covariance (n-1)

Returns the unbiased sample covariance (n-1)
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unbiased-deviationclj/s

(unbiased-deviation coll)

Returns the unbiased sample deviation (n-1)

Returns the unbiased sample deviation (n-1)
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unbiased-varianceclj/s

(unbiased-variance coll)

Returns the unbiased sample variance (n-1)

Returns the unbiased sample variance (n-1)
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varianceclj/s

(variance coll)

Returns the biased sample variance (n)

Returns the biased sample variance (n)
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