R: Depth-Based Classification and Calculation of Data Depth

# Depth-Based Classification and Calculation of Data Depth

## Documentation for package ‘ddalpha’ version 1.3.16

- DESCRIPTION file.

## Help Pages

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