/dports/math/R-cran-matrixStats/matrixStats/tests/ |
H A D | mean2.R | 44 y1 <- mean2(x, na.rm = na.rm) 58 y1 <- mean2(x, na.rm = na.rm) 75 s2 <- mean2(x, na.rm = na.rm) 87 s2 <- mean2(x, na.rm = na.rm) 100 s2 <- mean2(x) 106 s2 <- mean2(x, idxs = idxs) 112 s2 <- mean2(x, na.rm = na.rm) 124 s2 <- mean2(x, na.rm = na.rm) 130 s2 <- mean2(x, na.rm = na.rm) 136 s2 <- mean2(x, na.rm = na.rm) [all …]
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/dports/science/gnudatalanguage/gdl-1.0.1/src/ |
H A D | smooth2dnans.hpp | 111 mean2 *= n; 112 mean2 -= v; 114 mean2 /= n; 132 mean2 *= n; 134 mean2 += v; 135 mean2 /= n; 227 mean2 *= n; 228 mean2 -= v; 230 mean2 /= n; 248 mean2 *= n; [all …]
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H A D | smooth1dnans.hpp | 97 DDouble mean2 = mean; variable 100 if (n > 0) res[i] = mean2; 103 mean2 *= n; 104 mean2 -= v; 106 mean2 /= n; 109 if (n <= 0) mean2 = 0; 124 mean2 *= n; 126 mean2 += v; 127 mean2 /= n; 130 if (n > 0) res[dimx - 1] = mean2;
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H A D | smoothPolyDnans.hpp | 141 DDouble mean2 = mean; variable 144 … dest[transposed1Index(i + j*dimx, srcDim, destStride, rank)] = (n > 0) ? mean2 : src[i + j*dimx]; 147 mean2 *= n; 148 mean2 -= v; 150 mean2 /= n; 153 if (n <= 0) mean2 = 0; 168 mean2 *= n; 170 mean2 += v; 171 mean2 /= n; 174 …dest[transposed1Index(dimx - 1 + j*dimx, srcDim, destStride, rank)] = (n > 0) ? mean2 : src[dimx -…
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/dports/math/R-cran-matrixStats/matrixStats/inst/benchmarking/ |
H A D | mean2_subset.md.rsp | 4 <%@string subname="mean2"%> 47 "mean2_x_S" = mean2(x_S, refine = TRUE), 48 "mean2_x_S_no_refine" = mean2(x_S, refine = FALSE), 49 "mean2(x, idxs)" = mean2(x, idxs = idxs, refine = TRUE), 50 "mean2_no_refine(x, idxs)" = mean2(x, idxs = idxs, refine = FALSE), 51 "mean2(x[idxs])" = mean2(x[idxs], refine = TRUE), 52 "mean2_no_refine(x[idxs])" = mean2(x[idxs], refine = FALSE),
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H A D | mean2.md.rsp | 3 <%@string fcnname="mean2"%> 70 "mean2" = mean2(x, refine = TRUE), 71 "mean2_no_refine" = mean2(x, refine = FALSE), 92 "mean2" = mean2(x, idxs = idxs, refine = TRUE), 93 "mean2_no_refine" = mean2(x, idxs = idxs, refine = FALSE),
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/dports/graphics/R-cran-qcc/qcc/R/ |
H A D | causeandeffect.R | 11 mean2 <- function(x) function 52 { segments(mean2(ac)[i], 95, ac[i+1], 50) 53 text(mean2(ac)[i], 96, names(cause)[i], 56 { segments(mean2(ac)[i], 5, ac[i+1], 50) 57 text(mean2(ac)[i], 4, names(cause)[[ncup+i]], 63 { b <- (50-95)/(ac[j+1]-mean2(ac)[j]) 64 a <- 95-b*mean2(ac)[j] 76 { b <- (50-5)/(ac[j+1]-mean2(ac)[j]) 77 a <- 5-b*mean2(ac)[j]
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/dports/math/R-cran-matrixStats/matrixStats/man/ |
H A D | mean2.Rd | 2 % Please edit documentation in R/mean2.R 3 \name{mean2} 4 \alias{mean2} 7 mean2(x, idxs = NULL, na.rm = FALSE, refine = TRUE, ...) 32 \code{mean2(x, idxs)} gives equivalent results as \code{mean(x[idxs])}, 42 \code{mean2(..., refine = FALSE)} is almost twice as fast as 43 \code{mean2(..., refine = TRUE)}. 51 s2 <- mean2(x, idxs = idxs) # 25 56 s2 <- mean2(x, idxs = idxs) # 25 60 s2 <- mean2(x) # 55
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/dports/audio/praat/praat-6.2.03/external/gsl/ |
H A D | gsl_statistics__covariance_source.c | 24 const double mean1, const double mean2); 30 const double mean1, const double mean2) 42 const long double delta2 = (data2[i * stride2] - mean2); 53 const double mean1, const double mean2) 58 mean1, mean2); 69 const double mean2 = FUNCTION(gsl_stats,mean) (data2, stride2, n); 74 mean1, mean2);
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/dports/math/octave-forge-image/image-2.12.0/inst/ |
H A D | mean2.m | 17 ## @deftypefn {Function File} {} mean2 (@var{I}) 30 function m = mean2 (I) function 44 %! assert (mean2 ([]), NaN) 46 %!assert (mean2 (logical ([1 1; 0 0])), 0.5) 47 %!assert (mean2 (ones (3, 3, 3)), 1) 48 %!assert (mean2 (i), i) 49 %!assert (mean2 ([1 i]), [0.5+0.5i]) 50 %!assert (mean2 (speye (3)), sparse (1/3))
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/dports/math/gsl/gsl-2.7/statistics/ |
H A D | covariance_source.c | 24 const double mean1, const double mean2); 30 const double mean1, const double mean2) in FUNCTION() 42 const long double delta2 = (data2[i * stride2] - mean2); in FUNCTION() 53 const double mean1, const double mean2) in FUNCTION() 58 mean1, mean2); in FUNCTION() 69 const double mean2 = FUNCTION(gsl_stats,mean) (data2, stride2, n); in FUNCTION() local 74 mean1, mean2); in FUNCTION()
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/dports/math/R-cran-survey/survey/R/ |
H A D | surveychisq.R | 97 Dmat <- diag(mean2) 98 iDmat<- diag(ifelse(mean2==0,0,1/mean2)) 99 Vsrs <- (Dmat - outer(mean2,mean2))/N 100 V <- attr(mean2,"var") 234 Dmat <- diag(mean2) 235 iDmat<- diag(ifelse(mean2==0,0,1/mean2)) 236 Vsrs <- (Dmat - outer(mean2,mean2))/N 237 V <- attr(mean2,"var") 368 Dmat <- diag(mean2) 369 iDmat<- diag(ifelse(mean2==0,0,1/mean2)) [all …]
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/dports/audio/musescore/MuseScore-3.6.1/omr/ |
H A D | utils.cpp | 65 const double data2[], int n, double mean1, double mean2) in covariance() argument 72 const long double delta2 = (data2[i] - mean2); in covariance() 81 double mean2 = mean(data2, n); in covariance() local 83 return covariance(data1, data2, n, mean1, mean2); in covariance()
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/dports/multimedia/vmaf/vmaf-2.3.0/matlab/STMAD_2011_MatlabCode/ |
H A D | ical_std.c | 17 double mean, mean2, stdev, tmp1; in mexFunction() local 58 mean2= 0; in mexFunction() 64 mean2 += yVal[(iB*colLen)+jB]; in mexFunction() 69 mean2= mean2 / 256.0; in mexFunction() 87 outMean[(iB*colLen)+jB] = mean2;/* mean of reference*/ in mexFunction()
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/dports/databases/arrow/apache-arrow-6.0.1/cpp/src/arrow/compute/kernels/ |
H A D | aggregate_var_std_internal.h | 56 static inline void MergeVarStd(int64_t count1, double mean1, int64_t count2, double mean2, in MergeVarStd() argument 59 double mean = (mean1 * count1 + mean2 * count2) / (count1 + count2); in MergeVarStd() 61 count2 * (mean2 - mean) * (mean2 - mean); in MergeVarStd()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/examples/ |
H A D | ex_gam_results.py | 28 mean2 = comp2.mean() variable 29 comp2 -= mean2 35 mean2 = comp2_true.mean() variable 36 comp2_true -= mean2
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/dports/math/sprng/sprng5/TESTS/ |
H A D | fft.cpp | 136 double StdDev1, StdDev2, mean1, mean2, StdDev, mult, percentile; in Analyze() local 167 mean2 = 0.0; /* Expected values of all other terms */ in Analyze() 190 if(fabs(means[2*i+j*lda]-mean2) > mult*StdDev) /* Real part of coeff. */ in Analyze() 193 … Expected = %g, observed = %g, StdDev = %g\n\n", count, i, j, percentile, mean2, means[2*i+j*lda],… in Analyze() 196 if(fabs(means[2*i+j*lda+1]-mean2) > mult*StdDev) /* Imaginary part */ in Analyze() 199 … Expected = %g, observed = %g, StdDev = %g\n\n", count, i, j, percentile, mean2, means[2*i+j*lda+1… in Analyze()
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/dports/math/sprng/sprng5/TESTS/mpitests/ |
H A D | fft.cpp | 136 double StdDev1, StdDev2, mean1, mean2, StdDev, mult, percentile; in Analyze() local 167 mean2 = 0.0; /* Expected values of all other terms */ in Analyze() 190 if(fabs(means[2*i+j*lda]-mean2) > mult*StdDev) /* Real part of coeff. */ in Analyze() 193 … Expected = %g, observed = %g, StdDev = %g\n\n", count, i, j, percentile, mean2, means[2*i+j*lda],… in Analyze() 196 if(fabs(means[2*i+j*lda+1]-mean2) > mult*StdDev) /* Imaginary part */ in Analyze() 199 … Expected = %g, observed = %g, StdDev = %g\n\n", count, i, j, percentile, mean2, means[2*i+j*lda+1… in Analyze()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Numerics/Statistics/test/ |
H A D | itkCovarianceSampleFilterTest.cxx | 131 CovarianceSampleFilterType::MeasurementVectorRealType mean2 = covarianceFilter->GetMean(); in itkCovarianceSampleFilterTest() local 133 if ( ( std::fabs( mean[0] - mean2[0]) > epsilon ) || in itkCovarianceSampleFilterTest() 134 ( std::fabs( mean[1] - mean2[1]) > epsilon) || in itkCovarianceSampleFilterTest() 135 ( std::fabs( mean[2] - mean2[2]) > epsilon) ) in itkCovarianceSampleFilterTest() 138 are not the same:: " << mean << "," << mean2 << std::endl; in itkCovarianceSampleFilterTest()
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/dports/science/teem/teem-1.11.0-src/src/ten/ |
H A D | bimod.c | 129 (&(biparm->mean2), nrrdTypeDouble, in _tenEMBimodalInit() 137 biparm->mean2 += median; in _tenEMBimodalInit() 144 biparm->mean2, biparm->stdv2); in _tenEMBimodalInit() 186 g2 = airGaussian(i, biparm->mean2, biparm->stdv2); in _tenEMBimodalPP() 291 m[i] += (1-biparm->fraction1)*airGaussian(i, biparm->mean2, biparm->stdv2); in _tenEMBimodalSaveImage() 317 om2 = biparm->mean2; in _tenEMBimodalIterate() 336 biparm->mean2 = m2; in _tenEMBimodalIterate() 356 biparm->confidence = ((biparm->mean2 - biparm->mean1) in _tenEMBimodalConfThresh() 361 m2 = biparm->mean2; in _tenEMBimodalConfThresh() 409 && biparm->mean2 > 0 && biparm->mean2 < biparm->N-1 )) { in _tenEMBimodalCheck() [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/queso/test/test_pdfmoments/ |
H A D | test_gaussian_moments.C | 65 QUESO::GslVector mean2(paramSpace.zeroVector()); in main() 66 pdf1.distributionMean(mean2); in main() 71 queso_require_less_equal_msg(std::abs(mean2[0]-lawexp[0]), TOL, msg); in main() 72 queso_require_less_equal_msg(std::abs(mean2[1]-lawexp[1]), TOL, msg); in main()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Segmentation/Classifiers/test/ |
H A D | itkSampleClassifierFilterTest2.cxx | 89 MeanVectorType mean2; in itkSampleClassifierFilterTest2() local 90 itk::NumericTraits<MeanVectorType>::SetLength( mean2, numberOfComponents ); in itkSampleClassifierFilterTest2() 91 mean2[0] = 200.5; in itkSampleClassifierFilterTest2() 92 membershipFunction2->SetMean( mean2 ); in itkSampleClassifierFilterTest2() 140 mean = mean2[0]; in itkSampleClassifierFilterTest2()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Core/ImageFunction/test/ |
H A D | itkMeanImageFunctionTest.cxx | 90 FunctionType::RealType mean2; in itkMeanImageFunctionTest() local 91 mean2 = function->Evaluate(point); in itkMeanImageFunctionTest() 93 …if( !itk::Math::FloatAlmostEqual( static_cast< FunctionType::RealType >(initialValue), mean2, 10, … in itkMeanImageFunctionTest() 96 std::cout << "Mean value (" << mean2 << ") does not equal initialValue (" in itkMeanImageFunctionTest()
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/dports/math/py-flax/flax-0.3.3/flax/nn/ |
H A D | normalization.py | 103 mean2 = jnp.mean(lax.square(x), axis=reduction_axis, keepdims=False) 105 concatenated_mean = jnp.concatenate([mean, mean2]) 106 mean, mean2 = jnp.split( 111 var = mean2 - lax.square(mean) 172 mean2 = jnp.mean(lax.square(x), axis=-1, keepdims=True) 173 var = mean2 - lax.square(mean)
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/dports/multimedia/vmaf/vmaf-2.3.0/matlab/strred/strred/ |
H A D | extract_info_opt.m | 36 sred_val = mean2(abs(spatial_ref-spatial_dis)); 37 sred_val_sn = abs(mean2(spatial_ref-spatial_dis)); 64 tred_val = mean2(abs(temporal_ref-temporal_dis)); 65 tred_val_sn = abs(mean2(temporal_ref-temporal_dis));
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