Package | Description |
---|---|
cern.colt.matrix.tfloat.algo |
Linear Algebraic matrix computations operating on
FloatMatrix2D
and FloatMatrix1D . |
hep.aida.tfloat.bin |
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
|
Modifier and Type | Method and Description |
---|---|
static DynamicFloatBin1D |
FloatStatistic.bin(FloatMatrix1D 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 |
---|---|
DynamicFloatBin1D |
DynamicFloatBin1D.sampleBootstrap(DynamicFloatBin1D other,
int resamples,
FloatRandomEngine randomGenerator,
FloatBinBinFunction1D function)
Generic bootstrap resampling.
|
Modifier and Type | Method and Description |
---|---|
float |
FloatBinFunction1D.apply(DynamicFloatBin1D x)
Applies a function to one bin argument.
|
float |
FloatBinBinFunction1D.apply(DynamicFloatBin1D x,
DynamicFloatBin1D y)
Applies a function to two bin arguments.
|
float |
DynamicFloatBin1D.correlation(DynamicFloatBin1D other)
Returns the correlation of two bins, which is
corr(x,y) = covariance(x,y) / (stdDev(x)*stdDev(y)) (Pearson's
correlation coefficient).
|
float |
DynamicFloatBin1D.covariance(DynamicFloatBin1D other)
Returns the covariance of two bins, which is
cov(x,y) = (1/size()) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
|
DynamicFloatBin1D |
DynamicFloatBin1D.sampleBootstrap(DynamicFloatBin1D other,
int resamples,
FloatRandomEngine randomGenerator,
FloatBinBinFunction1D function)
Generic bootstrap resampling.
|
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