| Annual maximum streamflow in central Appalachia | Appalachia |
| Biplot for Principal Components (objects of class 'Pca') | biplot biplot,ANY-method biplot,Pca-method biplot-methods |
| Automatic vehicle recognition data | bus |
| Campbell Bushfire Data with added missing data items | bushmiss |
| Consumer reports car data: dimensions | Cars |
| Annual precipitation totals for the North Cascades region | Cascades |
| Class "Cov" - a base class for estimates of multivariate location and scatter | Cov-class getCenter,Cov-method getCenter-method getCorr,Cov-method getCov,Cov-method getData,Cov-method getDet,Cov-method getDistance,Cov-method getEvals,Cov-method getFlag,Cov-method getShape,Cov-method isClassic,Cov-method isClassic,method plot plot,Cov,missing-method show,Cov-method summary,Cov-method Ufunction-class Ulist-class Umatrix-class Utable-class Uvector-class |
| Classical Estimates of Multivariate Location and Scatter | Cov CovClassic |
| Class "CovClassic" - classical estimates of multivariate location and scatter | CovClassic-class |
| Class "CovControl" is a VIRTUAL base control class | CovControl-class |
| Constructor function for objects of class "CovControlMcd" | CovControlMcd |
| Class 'CovControlMcd' - contains control parameters for CovMcd | CovControlMcd-class restimate,CovControlMcd-method |
| Constructor function for objects of class "CovControlMest" | CovControlMest |
| Class 'CovControlMest' - contains control parameters for "CovMest" | CovControlMest-class |
| Constructor function for objects of class "CovControlMMest" | CovControlMMest |
| Class 'CovControlMMest' - contains control parameters for "CovMMest" | CovControlMMest-class restimate,CovControlMMest-method |
| Constructor function for objects of class "CovControlMrcd" | CovControlMrcd |
| Class 'CovControlMrcd' - contains control parameters for CovMrcd() | CovControlMrcd-class restimate,CovControlMrcd-method |
| Constructor function for objects of class "CovControlMve" | CovControlMve |
| Class 'CovControlMve' - contains control parameters for CovMve | CovControlMve-class restimate,CovControlMve-method |
| Constructor function for objects of class "CovControlOgk" | CovControlOgk |
| Class 'CovControlOgk' - contains control parameters for CovOgk | CovControlOgk-class restimate,CovControlOgk-method |
| Constructor function for objects of class "CovControlSde" | CovControlSde |
| Class 'CovControlSde' - contains control parameters for "CovSde" | CovControlSde-class restimate,CovControlSde-method |
| Constructor function for objects of class "CovControlSest" | CovControlSest |
| Class 'CovControlSest' - contains control parameters for "CovSest" | CovControlSest-class restimate,CovControlSest-method |
| Robust Location and Scatter Estimation via MCD | CovMcd |
| MCD Estimates of Multivariate Location and Scatter | CovMcd-class |
| Constrained M-Estimates of Location and Scatter | covMest |
| Constrained M-Estimates of Location and Scatter | CovMest |
| Constrained M-estimates of Multivariate Location and Scatter | CovMest-class |
| MM Estimates of Multivariate Location and Scatter | CovMMest |
| MM Estimates of Multivariate Location and Scatter | CovMMest-class |
| Robust Location and Scatter Estimation via Minimum Regularized Covariance Determonant (MRCD) | CovMrcd |
| MRCD Estimates of Multivariate Location and Scatter | CovMrcd-class |
| Robust Location and Scatter Estimation via MVE | CovMve |
| MVE Estimates of Multivariate Location and Scatter | CovMve-class |
| Robust Location and Scatter Estimation - Ortogonalized Gnanadesikan-Kettenring (OGK) | CovOgk |
| OGK Estimates of Multivariate Location and Scatter | CovOgk-class |
| Robust Location and Scatter Estimation | CovRobust |
| Class "CovRobust" - virtual base class for robust estimates of multivariate location and scatter | CovRobust-class getMeth,CovRobust-method getRaw,CovRobust-method isClassic,CovRobust-method show,CovRobust-method summary,CovRobust-method |
| Stahel-Donoho Estimates of Multivariate Location and Scatter | CovSde |
| Stahel-Donoho Estimates of Multivariate Location and Scatter | CovSde-class |
| S Estimates of Multivariate Location and Scatter | CovSest |
| S Estimates of Multivariate Location and Scatter | CovSest-class |
| Reaven and Miller diabetes data | diabetes |
| Fish Catch Data Set | fish |
| Fruit data set | fruit |
| Accessor methods to the essential slots of Cov and its subclasses | $,Cov-method $-methods getCenter getCenter-methods getCorr getCorr-methods getCov getCov-methods getData getData-methods getDet getDet-methods getDistance getDistance-methods getEvals getEvals-methods getFlag getFlag-methods getMeth getMeth-methods getRaw getRaw-methods getShape getShape-methods isClassic isClassic-methods names names,Cov-method names-methods |
| Calculates the points for drawing a confidence ellipsoid | getEllipse |
| Accessor methods to the essential slots of Pca and its subclasses | $,Pca-method getEigenvalues getEigenvalues,methods getLoadings getLoadings-methods getPrcomp getPrcomp,methods getQuan getQuan,methods getScale getScale,methods getScores getScores,methods getSdev getSdev,methods names,Pca-method |
| Hemophilia Data | hemophilia |
| Johns Hopkins University Ionosphere database. | ionosphere |
| Check if a covariance matrix (object of class 'Cov') is singular | isSingular isSingular,ANY-method isSingular,Cov-method isSingular-methods |
| Class "Lda" - virtual base class for all classic and robust LDA classes | Lda-class predict,Lda-method show,Lda-method summary,Lda-method |
| Linear Discriminant Analysis | LdaClassic LdaClassic.default LdaClassic.formula |
| Class "LdaClassic" - Linear Discriminant Analysis | LdaClassic-class |
| Robust Linear Discriminant Analysis by Projection Pursuit | LdaPP LdaPP.default LdaPP.formula |
| Class "LdaPP" - Robust method for Linear Discriminant Analysis by Projection-pursuit | LdaPP-class predict,LdaPP-method |
| Class "LdaRobust" is a virtual base class for all robust LDA classes | LdaRobust-class |
| Robust Linear Discriminant Analysis | Linda Linda.default Linda.formula |
| Class "Linda" - Robust method for LINear Discriminant Analysis | Linda-class |
| Hosking and Wallis Data Set, Table 3.2 | lmom32 |
| Hosking and Wallis Data Set, Table 3.3 | lmom33 |
| Computer Hardware | machines |
| Marona and Yohai Artificial Data | maryo |
| Octane data | octane |
| Olive Oil Data | olitos |
| Oslo Transect Data | OsloTransect |
| Class "Pca" - virtual base class for all classic and robust PCA classes | getCenter,Pca-method getEigenvalues,Pca-method getLoadings,Pca-method getPrcomp,Pca-method getScale,Pca-method getScores,Pca-method getSdev,Pca-method Pca-class plot,Pca,missing-method predict predict,Pca-method screeplot screeplot,Pca-method show,Pca-method summary,Pca-method |
| Compute score and orthogonal distances for Principal Components (objects of class 'Pca') | pca.distances |
| Score plot for Principal Components (objects of class 'Pca') | pca.scoreplot |
| Principal Components Analysis | PcaClassic PcaClassic.default PcaClassic.formula |
| Class "PcaClassic" - Principal Components Analysis | getQuan,PcaClassic-method PcaClassic-class |
| Robust PCA based on a robust covariance matrix | PcaCov PcaCov.default PcaCov.formula |
| Class "PcaCov" - Robust PCA based on a robust covariance matrix | getQuan,PcaCov-method PcaCov-class |
| Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm | PcaGrid PcaGrid.default PcaGrid.formula |
| Class "PcaGrid" - Robust PCA using PP - GRID search Algorithm | getQuan,PcaGrid-method PcaGrid-class |
| ROBPCA - ROBust method for Principal Components Analysis | PcaHubert PcaHubert.default PcaHubert.formula |
| Class "PcaHubert" - ROBust method for Principal Components Analysis | getQuan,PcaHubert-method PcaHubert-class |
| Spherical Principal Components | PcaLocantore PcaLocantore.default PcaLocantore.formula |
| Class "PcaLocantore" Spherical Principal Components | getQuan,PcaLocantore-method PcaLocantore-class |
| Robust Principal Components based on Projection Pursuit (PP): Croux and Ruiz-Gazen (2005) algorithm | PcaProj PcaProj.default PcaProj.formula |
| Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm | getQuan,PcaProj-method PcaProj-class |
| Class "PcaRobust" is a virtual base class for all robust PCA classes | PcaRobust-class |
| Methods for Function 'plot' in Package 'rrcov' | plot,CovClassic,missing-method plot,CovClassic-method plot,CovRobust,missing-method plot,CovRobust-method plot-methods |
| Archaic Greek Pottery data | pottery pottery.test |
| Class "PredictLda" - prediction of "Lda" objects | PredictLda-class show,PredictLda-method |
| Class "PredictQda" - prediction of "Qda" objects | PredictQda-class show,PredictQda-method |
| Class "Qda" - virtual base class for all classic and robust QDA classes | predict,Qda-method Qda-class show,Qda-method summary,Qda-method |
| Quadratic Discriminant Analysis | QdaClassic QdaClassic.default QdaClassic.formula |
| Class "QdaClassic" - Quadratic Discriminant Analysis | QdaClassic-class |
| Robust Quadratic Discriminant Analysis | QdaCov QdaCov.default QdaCov.formula |
| Class "QdaCov" - Robust methods for Quadratic Discriminant Analysis | QdaCov-class |
| Class "QdaRobust" is a virtual base class for all robust QDA classes | QdaRobust-class |
| Methods for Function estimate in Package 'rrcov' | restimate restimate,CovControlMest-method restimate-methods |
| Rice taste data | rice |
| Salmon data | salmon |
| Score plot for Principal Components (objects of class 'Pca') | scorePlot scorePlot,ANY-method scorePlot,Pca-method scorePlot-methods |
| Exchangable cations in forest soil data set | soil |
| Class "SummaryCov" - summary of "Cov" objects | getCenter,SummaryCov-method getCov,SummaryCov-method getDistance,SummaryCov-method getEvals,SummaryCov-method isClassic,SummaryCov-method show,SummaryCov-method SummaryCov-class |
| Class "SummaryCovRobust" - summary of "CovRobust" objects | isClassic,SummaryCovRobust-method show,SummaryCovRobust-method SummaryCovRobust-class |
| Class "SummaryLda" - summary of "Lda" objects | show,SummaryLda-method SummaryLda-class |
| Class "SummaryPca" - summary of "Pca" objects | show,SummaryPca-method SummaryPca-class |
| Class "SummaryQda" - summary of "Qda" objects | show,SummaryQda-method SummaryQda-class |
| Robust Hotelling T2 test | T2.test T2.test.default T2.test.formula |
| United Nations Data - 1986 | un86 |
| Wages and Hours | wages |
| Classical and Robust One-way MANOVA: Wilks Lambda | model.frame.Wilks.test Wilks.test Wilks.test.data.frame Wilks.test.default Wilks.test.formula Wilks.test.matrix |
| Skull dimensions of the wolf _Canis lupus_ L. | wolves |
