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def | covarianceToolsLibrary.setCorrInfo (h, binErrors) |
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def | covarianceToolsLibrary.addSystematicToCorrInfo (h, systName, binErrorsToAdd) |
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def | covarianceToolsLibrary.getCorrInfo (h, names=[]) |
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def | covarianceToolsLibrary.hasAsymmetricErrors (ao) |
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def | covarianceToolsLibrary.makeCovarianceMatrix (ao, ignore_corrs=False) |
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def | covarianceToolsLibrary.hasValidErrorBreakdown (ao) |
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def | covarianceToolsLibrary.makeCovarianceMatrixFromToys (ao, ntoys=10000, ignore_corrs=False) |
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def | covarianceToolsLibrary.plotVariations (ao, outdir, label, threshold=0.05, xLabel=None, title=None) |
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def | covarianceToolsLibrary.getDiagonalCovMatricesFromScatter (scat) |
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def | covarianceToolsLibrary.getDiagonalCovMatricesFromHisto (scat) |
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def | covarianceToolsLibrary.scatterToMatrix (h, bw=False) |
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def | covarianceToolsLibrary.histoToMatrix (h, bw=False) |
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def | covarianceToolsLibrary.printMatrix (matrix, outfile=None) |
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def | covarianceToolsLibrary.drawMatrix (matrix, outfile, xLabel=None) |
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def | covarianceToolsLibrary.manualChi2 (data, mc, cov, verbosity=0) |
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def | covarianceToolsLibrary.calculateChi2 (data, mc, cov=None, verbosity=0) |
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def | covarianceToolsLibrary.correlationMatrix (covMatrix) |
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def | covarianceToolsLibrary.updateAOinYODA (ao, infile) |
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def | covarianceToolsLibrary.chi2ContributionMatrix (diff, prec) |
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def | covarianceToolsLibrary.chi2ContribsByRow (chi2contribs) |
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def | covarianceToolsLibrary.makeSuperAO (aoList, verbosity=0) |
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