Depth-Based Classification and Calculation of Data Depth
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Documentation for package ‘ddalpha’ version 1.3.16
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A B C D E F G H I K L M O P R S T U V W
| ddalpha-package | Depth-Based Classification and Calculation of Data Depth |
-- A --
| alpha | Train DD-Classifier |
-- B --
| baby | Data for Classification |
| banknoten | Data for Classification |
| biomed | Data for Classification |
| bloodtransfusion | Data for Classification |
| breast_cancer_wisconsin | Data for Classification |
| bupa | Data for Classification |
-- C --
| chemdiab_1vs2 | Data for Classification |
| chemdiab_1vs3 | Data for Classification |
| chemdiab_2vs3 | Data for Classification |
| cloud | Data for Classification |
| Cmetric | Fast Computation of the Uniform Metric for Sets of Functional Data |
| compclassf.classify | Classify using Functional Componentwise Classifier |
| compclassf.train | Functional Componentwise Classifier |
| crabB_MvsF | Data for Classification |
| crabF_BvsO | Data for Classification |
| crabM_BvsO | Data for Classification |
| crabO_MvsF | Data for Classification |
| crab_BvsO | Data for Classification |
| crab_MvsF | Data for Classification |
| cricket_CvsP | Data for Classification |
| Custom Methods | Using Custom Depth Functions and Classifiers |
-- D --
| data | Data for Classification |
| dataf | Converts data from fdata class to the functional class. |
| dataf.* | Functional Data Sets |
| dataf.geneexp | Gene Expression Profile Data |
| dataf.growth | Berkeley Growth Study Data |
| dataf.medflies | Relationship of Age Patterns of Fecundity to Mortality for Female Medflies. |
| dataf.population | World Historical Population-by-Country Dataset |
| dataf.population2010 | World Historical Population-by-Country Dataset (2010 Revision) |
| dataf.sim.1.CFF07 | Model 1 from Cuevas et al. (2007) |
| dataf.sim.2.CFF07 | Model 2 from Cuevas et al. (2007) |
| dataf.tecator | Functional Data Set Spectrometric Data (Tecator) |
| dataf2rawfd | Transform a 'dataf' Object to Raw Functional Data |
| ddalpha | Depth-Based Classification and Calculation of Data Depth |
| ddalpha.classify | Classify using DD-Classifier |
| ddalpha.getErrorRateCV | Test DD-Classifier |
| ddalpha.getErrorRatePart | Test DD-Classifier |
| ddalpha.test | Test DD-Classifier |
| ddalpha.train | Train DD-Classifier |
| ddalphaf.classify | Classify using Functional DD-Classifier |
| ddalphaf.getErrorRateCV | Test Functional DD-Classifier |
| ddalphaf.getErrorRatePart | Test Functional DD-Classifier |
| ddalphaf.test | Test Functional DD-Classifier |
| ddalphaf.train | Functional DD-Classifier |
| depth. | Calculate Depth |
| depth.betaSkeleton | Calculate Beta-Skeleton Depth |
| depth.contours | Depth Contours |
| depth.contours.ddalpha | Depth Contours |
| depth.graph | Depth Graph |
| depth.halfspace | Calculate Halfspace Depth |
| depth.L2 | Calculate L2-Depth |
| depth.Mahalanobis | Calculate Mahalanobis Depth |
| depth.potential | Calculate Potential of the Data |
| depth.projection | Calculate Projection Depth |
| depth.qhpeeling | Calculate Convex Hull Peeling Depth |
| depth.sample | Fast Depth Computation for Univariate and Bivariate Random Samples |
| depth.simplicial | Calculate Simplicial Depth |
| depth.simplicialVolume | Calculate Simplicial Volume Depth |
| depth.space. | Calculate Depth Space using the Given Depth |
| depth.space.halfspace | Calculate Depth Space using Halfspace Depth |
| depth.space.Mahalanobis | Calculate Depth Space using Mahalanobis Depth |
| depth.space.potential | Calculate Potential Space |
| depth.space.projection | Calculate Depth Space using Projection Depth |
| depth.space.simplicial | Calculate Depth Space using Simplicial Depth |
| depth.space.simplicialVolume | Calculate Depth Space using Simplicial Volume Depth |
| depth.space.spatial | Calculate Depth Space using Spatial Depth |
| depth.space.zonoid | Calculate Depth Space using Zonoid Depth |
| depth.spatial | Calculate Spatial Depth |
| depth.zonoid | Calculate Zonoid Depth |
| depthf. | Calculate Functional Depth |
| depthf.ABD | Adjusted Band Depth for Functional Data |
| depthf.BD | Band Depth for Functional Data |
| depthf.fd1 | Univariate Integrated and Infimal Depth for Functional Data |
| depthf.fd2 | Bivariate Integrated and Infimal Depth for Functional Data |
| depthf.hM | h-Mode Depth for Functional Data |
| depthf.hM2 | Bivariate h-Mode Depth for Functional Data Based on the L^2 Metric |
| depthf.HR | Half-Region Depth for Functional Data |
| depthf.RP1 | Univariate Random Projection Depths for Functional Data |
| depthf.RP2 | Bivariate Random Projection Depths for Functional Data |
| depthf.simplicialBand | Calculate Simplicial Band Depth |
| derivatives.est | Estimation of the First Two Derivatives for Functional Data |
| diabetes | Data for Classification |
| dknn.classify | Depth-Based kNN |
| dknn.classify.trained | Depth-Based kNN |
| dknn.train | Depth-Based kNN |
| draw.ddplot | Draw _DD_-Plot |
-- E --
| ecoli_cpvsim | Data for Classification |
| ecoli_cpvspp | Data for Classification |
| ecoli_imvspp | Data for Classification |
-- F --
| FKS | Fast Kernel Smoothing |
-- G --
| gemsen_MvsF | Data for Classification |
| geneexp | Gene Expression Profile Data |
| getdata | Data for Classification |
| glass | Data for Classification |
| groessen_MvsF | Data for Classification |
| growth | Berkeley Growth Study Data |
-- H --
| haberman | Data for Classification |
| heart | Data for Classification |
| hemophilia | Data for Classification |
-- I --
| indian_liver_patient_1vs2 | Data for Classification |
| indian_liver_patient_FvsM | Data for Classification |
| infimalRank | Adjusted Ranking of Functional Data Based on the Infimal Depth |
| irish_ed_MvsF | Data for Classification |
| iris_setosavsversicolor | Data for Classification |
| iris_setosavsvirginica | Data for Classification |
| iris_versicolorvsvirginica | Data for Classification |
| is.in.convex | Check Outsiderness |
-- K --
| kidney | Data for Classification |
| knnlm | Train DD-Classifier |
-- L --
| L2metric | Fast Computation of the L^2 Metric for Sets of Functional Data |
| lines.functional | Plot functions for the Functional Data |
-- M --
| maxD | Train DD-Classifier |
| medflies | Relationship of Age Patterns of Fecundity to Mortality for Female Medflies. |
-- O --
| outsiders | Train DD-Classifier |
-- P --
| pima | Data for Classification |
| plasma_retinol_MvsF | Data for Classification |
| plot.ddalpha | Plots for the "ddalpha" Class |
| plot.ddalphaf | Plots for the "ddalphaf" Class |
| plot.functional | Plot functions for the Functional Data |
| points.functional | Plot functions for the Functional Data |
| polynomial | Train DD-Classifier |
| population | World Historical Population-by-Country Dataset |
| population2010 | World Historical Population-by-Country Dataset (2010 Revision) |
| predict.compclassf | Classify using Functional Componentwise Classifier |
| predict.ddalpha | Classify using DD-Classifier |
| predict.ddalphaf | Classify using Functional DD-Classifier |
-- R --
| rawfd2dataf | Transform Raw Functional Data to a 'dataf' Object |
| resetPar | Reset Graphical Parameters |
-- S --
| segmentation | Data for Classification |
| shape.fd.analysis | Diagnostic Plot for First and Second Order Integrated and Infimal Depths |
| shape.fd.outliers | Functional Depth-Based Shape Outlier Detection |
| socmob_IvsNI | Data for Classification |
| socmob_WvsB | Data for Classification |
-- T --
| tae | Data for Classification |
| tecator | Functional Data Set Spectrometric Data (Tecator) |
| tennis_MvsF | Data for Classification |
| tips_DvsN | Data for Classification |
| tips_MvsF | Data for Classification |
-- U --
| uscrime_SvsN | Data for Classification |
-- V --
| vertebral_column | Data for Classification |
| veteran_lung_cancer | Data for Classification |
| vowel_MvsF | Data for Classification |
-- W --
| wine_1vs2 | Data for Classification |
| wine_1vs3 | Data for Classification |
| wine_2vs3 | Data for Classification |