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 # Statistics

 Last update: 16.07.2025 

Perform statistical analysis on data objects. [More...](#details)

## <a name="nested-classes"></a>Classes

class [ComputeCoefficientOfDetermination&lt; TYPE &gt;](class_compute_coefficient_of_determination.xhtml) a struct which collects settings for computing the Coefficient Of Determination [More...](class_compute_coefficient_of_determination.xhtml#details)  
 class [ComputeCorrelation&lt; TYPE &gt;](class_compute_correlation.xhtml) a struct which collects settings for *computeCorrelation* [More...](class_compute_correlation.xhtml#details)  
 class [ComputeCoV&lt; TYPE &gt;](class_compute_co_v.xhtml) a struct which collects settings for *[ComputeCoV](class_compute_co_v.xhtml "a struct which collects settings for ComputeCoV ")* [More...](class_compute_co_v.xhtml#details)  
 class [ComputeMax&lt; TYPE &gt;](class_compute_max.xhtml) a struct which collects settings for *[ComputeMax](class_compute_max.xhtml "a struct which collects settings for ComputeMax ")* [More...](class_compute_max.xhtml#details)  
 class [ComputeMaxProbability&lt; TYPE &gt;](class_compute_max_probability.xhtml) a struct which collects settings for *[ComputeMaxProbability](class_compute_max_probability.xhtml "a struct which collects settings for ComputeMaxProbability ")* [More...](class_compute_max_probability.xhtml#details)  
 class [ComputeMean&lt; TYPE &gt;](class_compute_mean.xhtml) a struct which collects settings for *[ComputeMean](class_compute_mean.xhtml "a struct which collects settings for ComputeMean ")* [More...](class_compute_mean.xhtml#details)  
 class [ComputeMeanMissing&lt; TYPE &gt;](class_compute_mean_missing.xhtml) a struct which collects settings for *[ComputeMean](class_compute_mean.xhtml "a struct which collects settings for ComputeMean ")* [More...](class_compute_mean_missing.xhtml#details)  
 class [ComputeMeanPlusSigma&lt; TYPE &gt;](class_compute_mean_plus_sigma.xhtml) a struct which collects settings for computing 'mean+ k \* sigma' [More...](class_compute_mean_plus_sigma.xhtml#details)  
 class [ComputeMin&lt; TYPE &gt;](class_compute_min.xhtml) a struct which collects settings for *[ComputeMin](class_compute_min.xhtml "a struct which collects settings for ComputeMin ")* [More...](class_compute_min.xhtml#details)  
 class [ComputeMinProbability&lt; TYPE &gt;](class_compute_min_probability.xhtml) a struct which collects settings for *[ComputeMinProbability](class_compute_min_probability.xhtml "a struct which collects settings for ComputeMinProbability ")* [More...](class_compute_min_probability.xhtml#details)  
 class [ComputeProbabilitySigmaInterval&lt; TYPE &gt;](class_compute_probability_sigma_interval.xhtml) a struct which collects settings for probability of sigma intervals, i.e. of P( mean + l\*sigma &lt;= X &lt; mean + u\*sigma) [More...](class_compute_probability_sigma_interval.xhtml#details)  
 class [ComputeQualityCapabilityCp&lt; TYPE &gt;](class_compute_quality_capability_cp.xhtml) a struct which collects settings for QCS/Cp [More...](class_compute_quality_capability_cp.xhtml#details)  
 class [ComputeQualityCapabilityCpk&lt; TYPE &gt;](class_compute_quality_capability_cpk.xhtml) a struct which collects settings for QCS/Cpk [More...](class_compute_quality_capability_cpk.xhtml#details)  
 class [ComputeQuantile&lt; TYPE &gt;](class_compute_quantile.xhtml) a struct which collects settings for QCS/Cpk [More...](class_compute_quantile.xhtml#details)  
 class [ComputeQuantileInverse&lt; TYPE &gt;](class_compute_quantile_inverse.xhtml) a struct which collects settings for inverse quantile computation (not-exceedance probability) [More...](class_compute_quantile_inverse.xhtml#details)  
 class [ComputeRange&lt; TYPE &gt;](class_compute_range.xhtml) a struct which collects settings for *[ComputeRange](class_compute_range.xhtml "a struct which collects settings for ComputeRange ")* [More...](class_compute_range.xhtml#details)  
 class [ComputeRelativeError&lt; TYPE &gt;](class_compute_relative_error.xhtml) Computes the relative accuracy between two quantities given using ![$\epsilon = \frac{x_{\mbox{other}}}{x_{\mbox{ref}}}$](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_9.png) If set, the relative error is computed using ![$\epsilon = \frac{x_{\mbox{other}}-x_{\mbox{ref}}}{max_i |x_{\mbox{ref}}|_i }$](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_10.png). [More...](class_compute_relative_error.xhtml#details)  
 class [ComputeRPCA&lt; TYPE &gt;](class_compute_r_p_c_a.xhtml) Perform Robust Principal Component Analysis While traditional PCA is very sensitive to data corruption or outliers, RPCA is, as its name implies, robust to data corruption under surprisingly broad conditions. RPCA attempts to split a given matrix M into two matrices S and L: M = L + S where L is a low-rank matrix and S is a sparse matrix of random errors (of arbitrary magnitude and random sign). In the context of SoS, each column vector of M might be a particular field design. Without any prior knowledge about outliers, RPCA is then able to separate correlations between field designs (L) from outliers (S). Security camera footage is a good example, following the M = L + S data model: L represents the slowly changing background, while S represents walking people. See <https://arxiv.org/abs/0912.3599> for more examples and a precise definition of the conditions, for RPCA to deliver good results. By default, [ComputeRPCA](class_compute_r_p_c_a.xhtml "Perform Robust Principal Component Analysis While traditional PCA is very sensitive to data corruptio...") creates two new quantity idents named RPCA\[\] (L) and RPCAError\[\] (S). Disable the creation of RPCAError by setting the createRPCAError member variable to *false*. The algorithm attempts to recover L and S by running the Principal Component Pursuit bi-objective optimization program: ![\[ //! \text{minimize} ||L||_* + \lambda ||S||_1 //! \text{subject to} L + S = M //! \]](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_11.png)

 where ![$ ||L||_* $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_12.png) denotes the nuclear norm of ![$ L $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_13.png) (i.e. the sum of the singular values of ![$ L $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_13.png)) and ![$ ||L||_1 = \sum_{ij}|S_{ij}| $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_14.png) denotes the ![$ l_1 $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_15.png)-norm of ![$ S $](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_16.png) seen as a long vector. Recommended value: ![$ \lambda = 1/\sqrt{max(dim(M))}$](/sites/default/files/migrate-content/optislang_3d_postprocessing_script_api_2024_r2_sp02_1/form_17.png). [More...](class_compute_r_p_c_a.xhtml#details)

 class [ComputeStddev&lt; TYPE &gt;](class_compute_stddev.xhtml) a struct which collects settings for *[ComputeStddev](class_compute_stddev.xhtml "a struct which collects settings for ComputeStddev ")* [More...](class_compute_stddev.xhtml#details)  
 class [ComputeStdErrorOfMean&lt; TYPE &gt;](class_compute_std_error_of_mean.xhtml) a struct which collects settings for computing the standard error of mean estimator [More...](class_compute_std_error_of_mean.xhtml#details)  
 class [ComputeStdErrorOfVariance&lt; TYPE &gt;](class_compute_std_error_of_variance.xhtml) a struct which collects settings for computing the standard error of the variance estimator [More...](class_compute_std_error_of_variance.xhtml#details)  
 class [ComputeVariance&lt; TYPE &gt;](class_compute_variance.xhtml) a struct which collects settings for *[ComputeVariance](class_compute_variance.xhtml "a struct which collects settings for ComputeVariance ")* [More...](class_compute_variance.xhtml#details)  
 ## <a name="func-members"></a>Functions

<a id="gaf5de276384df2ed43ff55ad4b449c203"></a> **template** (ComputeStdErrorOfMeanNode) [ComputeStdErrorOfMean](class_compute_std_error_of_mean.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga167d9ba1417715d4727488d004106055"></a> **template** (ComputeStdErrorOfVarianceNode) [ComputeStdErrorOfVariance](class_compute_std_error_of_variance.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga121a422544f87a3a6f26f9ac12636b94"></a> **template** (ComputeMeanNode) [ComputeMean](class_compute_mean.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga206e58e38c8b47d07129b6e8db880b1c"></a> **template** (ComputeMeanMissingNode) [ComputeMeanMissing](class_compute_mean_missing.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga9b3204c99b57656facf0256eeb2eaa16"></a> **template** (ComputeCoVNode) [ComputeCoV](class_compute_co_v.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga8c36b19ab4f78c5495eceaeede6d4d00"></a> **template** (ComputeMinNode) [ComputeMin](class_compute_min.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gab38c5630bdd2148e8fb997916a80ed7c"></a> **template** (ComputeMinProbabilityNode) [ComputeMinProbability](class_compute_min_probability.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gacff651504e9410028b739e975d8f6d08"></a> **template** (ComputeStdErrorOfMeanElement) [ComputeStdErrorOfMean](class_compute_std_error_of_mean.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga87afda2beceab64721081526779b5022"></a> **template** (ComputeMeanElement) [ComputeMean](class_compute_mean.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gaecb0d873eafe07dc04bf1892e58cc14b"></a> **template** (ComputeStddevNode) [ComputeStddev](class_compute_stddev.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gabe125fcdc79fc9ca0f83afc2db965fd0"></a> **template** (ComputeVarianceNode) [ComputeVariance](class_compute_variance.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga83f3eafe2aef576f1b8837b78249b6c1"></a> **template** (ComputeStdErrorOfVarianceElement) [ComputeStdErrorOfVariance](class_compute_std_error_of_variance.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga379c7d8028594f6fabdb82bb7ddc102e"></a> **template** (ComputeMeanMissingElement) [ComputeMeanMissing](class_compute_mean_missing.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga81bf73cc59d1a16fe24c287c84986e16"></a> **template** (ComputeMeanMissingScalar) [ComputeMeanMissing](class_compute_mean_missing.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gabb74b828607d0cde8b8b6654712f10a3"></a> **template** (ComputeMinElement) [ComputeMin](class_compute_min.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gaa3fe99cc03fcefb533222a9cce5c3a5b"></a> **template** (ComputeVarianceElement) [ComputeVariance](class_compute_variance.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga8b7f5c9e947b3267ae99013a0990f8b2"></a> **template** (ComputeMinProbabilityElement) [ComputeMinProbability](class_compute_min_probability.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga72e15f2e2bbf8456e07d904e5a602a14"></a> **template** (ComputeCoVElement) [ComputeCoV](class_compute_co_v.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gadd5b7860ad684ec2339881a3cb5e9400"></a> **template** (ComputeMaxNode) [ComputeMax](class_compute_max.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga99e9cb1a9ed7c725246e6e63fbcc23b0"></a> **template** (ComputeMaxProbabilityNode) [ComputeMaxProbability](class_compute_max_probability.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga5da89d404025f3ce019995a093e1b296"></a> **template** (ComputeStdErrorOfMeanScalar) [ComputeStdErrorOfMean](class_compute_std_error_of_mean.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga359b79cc509912aa14e401344169ac7a"></a> **template** (ComputeStddevElement) [ComputeStddev](class_compute_stddev.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga6104ab432e4792e2de769ae521b17130"></a> **template** (ComputeMeanScalar) [ComputeMean](class_compute_mean.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga1f7eb2a2dbe5547037460b2c9e131932"></a> **template** (ComputeStdErrorOfVarianceScalar) [ComputeStdErrorOfVariance](class_compute_std_error_of_variance.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gafdd2ce749c1f6af31a44b374346cfde5"></a> **template** (ComputeCoVScalar) [ComputeCoV](class_compute_co_v.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga09d3b742ccaceb4a28b2294979476694"></a> **template** (ComputeVarianceScalar) [ComputeVariance](class_compute_variance.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga033ad9e0a16df50868d1732aec5cc778"></a> **template** (ComputeMinScalar) [ComputeMin](class_compute_min.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga916e097ed1a5b71bfd37a25c1c22a05c"></a> **template** (ComputeStddevScalar) [ComputeStddev](class_compute_stddev.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga67fea09f0f7ad5941fa7bd190051a3bc"></a> **template** (ComputeMaxElement) [ComputeMax](class_compute_max.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga5fcc14d4d648e3b17438de13d154e265"></a> **template** (ComputeMaxProbabilityElement) [ComputeMaxProbability](class_compute_max_probability.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga415097d0518f078a853f92f53c41e908"></a> **template** (ComputeMaxScalar) [ComputeMax](class_compute_max.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga86f849d5d9de9366bb02741f1616655b"></a> **template** (ComputeRangeNode) [ComputeRange](class_compute_range.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga301fbe48ebb4d58102b8e410cf646bfa"></a> **template** (ComputeQuantileInverseNode) [ComputeQuantileInverse](class_compute_quantile_inverse.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gaf31fe5ed3f4de90c770c1711daca0fd8"></a> **template** (ComputeRangeElement) [ComputeRange](class_compute_range.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga22078c0e14fa804f4fae098e51e0d1b7"></a> **template** (ComputeQuantileInverseElement) [ComputeQuantileInverse](class_compute_quantile_inverse.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gab94994150b3fa600712a949b27616ccd"></a> **template** (ComputeRangeScalar) [ComputeRange](class_compute_range.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gadb9c0337f49b747d8d1efd46f0295f00"></a> **template** (ComputeQuantileInverseScalar) [ComputeQuantileInverse](class_compute_quantile_inverse.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga15187d9f354ce7c64f46b632cb4736c1"></a> **template** (ComputeQuantileNode) [ComputeQuantile](class_compute_quantile.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga07730ccaacfc5570cc79e97af1b2bb31"></a> **template** (ComputeMeanPlusSigmaNode) [ComputeMeanPlusSigma](class_compute_mean_plus_sigma.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga06e83a4f1d4ff61e89d345091c83df65"></a> **template** (ComputeQuantileElement) [ComputeQuantile](class_compute_quantile.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gac144f8809ed703c7f86241e81a3489f2"></a> **template** (ComputeQuantileScalar) [ComputeQuantile](class_compute_quantile.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gace8659697d2c7fe8874c8628e5b6f399"></a> **template** (ComputeMeanPlusSigmaElement) [ComputeMeanPlusSigma](class_compute_mean_plus_sigma.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga4e90d5c220b33a49e0d43e38e805dd59"></a> **template** (ComputeProbabilitySigmaIntervalNode) [ComputeProbabilitySigmaInterval](class_compute_probability_sigma_interval.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga27d3bbbea80b7ea33cd762fe3614ac8d"></a> **template** (ComputeQualityCapabilityCpkNode) [ComputeQualityCapabilityCpk](class_compute_quality_capability_cpk.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga4df007db821f14ccc8f3199367e70d86"></a> **template** (ComputeMeanPlusSigmaScalar) [ComputeMeanPlusSigma](class_compute_mean_plus_sigma.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gaa35a05f01647b2f34f2d3e3ad32bf6a3"></a> **template** (ComputeQualityCapabilityCpNode) [ComputeQualityCapabilityCp](class_compute_quality_capability_cp.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gabafc865cd9f883fa8888ee87bebd54ad"></a> **template** (ComputeProbabilitySigmaIntervalElement) [ComputeProbabilitySigmaInterval](class_compute_probability_sigma_interval.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga5599d2fd7ec7e5dced3848a0d5c91705"></a> **template** (ComputeProbabilitySigmaIntervalScalar) [ComputeProbabilitySigmaInterval](class_compute_probability_sigma_interval.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gac3e02da1483457734e2f1432cbea848d"></a> **template** (ComputeQualityCapabilityCpElement) [ComputeQualityCapabilityCp](class_compute_quality_capability_cp.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gabbc44957ad50bc5927b130a48a72c7b3"></a> **template** (ComputeQualityCapabilityCpkElement) [ComputeQualityCapabilityCpk](class_compute_quality_capability_cpk.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gae8667375072867c91e985c6ad736526d"></a> **template** (ComputeRPCANode) [ComputeRPCA](class_compute_r_p_c_a.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga2fe428b9633d990129c510b2a65c3b5b"></a> **template** (ComputeQualityCapabilityCpScalar) [ComputeQualityCapabilityCp](class_compute_quality_capability_cp.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gad479bd9dd39412da7bded6607fa0b704"></a> **template** (ComputeQualityCapabilityCpkScalar) [ComputeQualityCapabilityCpk](class_compute_quality_capability_cpk.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga36a52bf8c90bd1d8fd40717e764ce148"></a> **template** (ComputeRPCAElement) [ComputeRPCA](class_compute_r_p_c_a.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga75de87428165c1ed62b9eda82b73dc41"></a> **template** (ComputeCoefficientOfDeterminationNode) [ComputeCoefficientOfDetermination](class_compute_coefficient_of_determination.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga5cb970feda66d9cae720982b80963905"></a> **template** (ComputeCoefficientOfDeterminationElement) [ComputeCoefficientOfDetermination](class_compute_coefficient_of_determination.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gaa6f52b9eaceb586290e1b1f9bf5bd0c5"></a> **template** (ComputeCoefficientOfDeterminationScalar) [ComputeCoefficientOfDetermination](class_compute_coefficient_of_determination.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="ga37782c5718df0df3225a00e7eed02cef"></a> **template** (ComputeCorrelationNode) [ComputeCorrelation](class_compute_correlation.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="gae60a8397a9c6433641b4f61b3a0c7819"></a> **template** (ComputeCorrelationElement) [ComputeCorrelation](class_compute_correlation.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="ga7ed3296fc55e4d5c5e65eb4a3ce3bae1"></a> **template** (ComputeCorrelationScalar) [ComputeCorrelation](class_compute_correlation.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="gab419d645c0251d1f0a9e66f3cefee879"></a> **template** (ComputeRelativeNodeError) [ComputeRelativeError](class_compute_relative_error.xhtml)&lt; [NODE\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a2bccb499db6de63e558b75b39da3d482) &gt; <a id="ga60eef003166b0524659f84e89b678f03"></a> **template** (ComputeRelativeElementError) [ComputeRelativeError](class_compute_relative_error.xhtml)&lt; [ELEMENT\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379ae9445a58a2c3cd515f2058cbd3117174) &gt; <a id="gafe73158a0192abcfd81a218ee3249d54"></a> **template** (ComputeRelativeScalarError) [ComputeRelativeError](class_compute_relative_error.xhtml)&lt; [SCALAR\_DATA](group__data.xhtml#gga1bebf1e22deb3cd41d7d99ddcdb15379a916fc40dfca5ba301488a121abe77495) &gt; <a id="details" name="details"></a>## Detailed Description

Perform statistical analysis on data objects.