Package | Description |
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cern.colt.matrix.doublealgo |
Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
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hep.aida.bin |
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
|
Modifier and Type | Method and Description |
---|---|
static DynamicBin1D |
Statistic.bin(DoubleMatrix1D vector)
Fills all cell values of the given vector into a bin from which statistics measures can be retrieved efficiently.
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Modifier and Type | Method and Description |
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DynamicBin1D |
DynamicBin1D.sampleBootstrap(DynamicBin1D other,
int resamples,
RandomEngine randomGenerator,
BinBinFunction1D function)
Generic bootstrap resampling.
|
Modifier and Type | Method and Description |
---|---|
double |
BinFunction1D.apply(DynamicBin1D x)
Applies a function to one bin argument.
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double |
BinBinFunction1D.apply(DynamicBin1D x,
DynamicBin1D y)
Applies a function to two bin arguments.
|
double |
DynamicBin1D.correlation(DynamicBin1D other)
Returns the correlation of two bins, which is corr(x,y) = covariance(x,y) / (stdDev(x)*stdDev(y)) (Pearson's correlation coefficient).
|
double |
DynamicBin1D.covariance(DynamicBin1D other)
Returns the covariance of two bins, which is cov(x,y) = (1/size()) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
|
DynamicBin1D |
DynamicBin1D.sampleBootstrap(DynamicBin1D other,
int resamples,
RandomEngine randomGenerator,
BinBinFunction1D function)
Generic bootstrap resampling.
|
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