Package | Description |
---|---|
cern.colt.matrix.tdouble.algo |
Linear Algebraic matrix computations operating on
DoubleMatrix2D
and DoubleMatrix1D . |
hep.aida.tdouble.bin |
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
|
Modifier and Type | Method and Description |
---|---|
static DynamicDoubleBin1D |
DoubleStatistic.bin(DoubleMatrix1D vector)
Fills all cell values of the given vector into a bin from which
statistics measures can be retrieved efficiently.
|
Modifier and Type | Method and Description |
---|---|
DynamicDoubleBin1D |
DynamicDoubleBin1D.sampleBootstrap(DynamicDoubleBin1D other,
int resamples,
DoubleRandomEngine randomGenerator,
DoubleBinBinFunction1D function)
Generic bootstrap resampling.
|
Modifier and Type | Method and Description |
---|---|
double |
DoubleBinFunction1D.apply(DynamicDoubleBin1D x)
Applies a function to one bin argument.
|
double |
DoubleBinBinFunction1D.apply(DynamicDoubleBin1D x,
DynamicDoubleBin1D y)
Applies a function to two bin arguments.
|
double |
DynamicDoubleBin1D.correlation(DynamicDoubleBin1D other)
Returns the correlation of two bins, which is
corr(x,y) = covariance(x,y) / (stdDev(x)*stdDev(y)) (Pearson's
correlation coefficient).
|
double |
DynamicDoubleBin1D.covariance(DynamicDoubleBin1D other)
Returns the covariance of two bins, which is
cov(x,y) = (1/size()) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
|
DynamicDoubleBin1D |
DynamicDoubleBin1D.sampleBootstrap(DynamicDoubleBin1D other,
int resamples,
DoubleRandomEngine randomGenerator,
DoubleBinBinFunction1D function)
Generic bootstrap resampling.
|
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