Statistical Depth Functions for Multivariate Analysis
Add line to plot
as.matrix method for DepthCurveList.
AsymmetryCurve and AsymmetryCurveList
Asymmetry curve based on depths
BinnDepth2d
2d Binning
Adds plots
CovLP
CovLp
Normal depth versus depth plot
DDPlot
Depth versus depth plot
DeepReg2d
Simple deepest regression method.
Depth
Depth calculation
Approximate depth contours
DepthCurve
DepthCurveList
DepthDensity
Depth weighted density estimator
Euclidean Depth
Local depth
LP Depth
Mahalanobis Depth
Depth median
Perspective plot for depth functions
Projection Depth
Tukey Depth
Functional boxplot based on Modified Band Depth
Basic function for functional depths
FM Depth
Modified band depth
Functional median
Functional bands
Functional Depth
Create ggplot object from DepthCurve, DepthCurveList and DDPlot classe...
Adds location scale depth contour to the existing plot.
Location-Scale depth class
Location-Scale depth contour class
Get location-scale contour from LSDepthContour object.
Calculate sample Mizera and Muller Student depth contours
Calculates the maximum sample location-scale depth
Multivariate Wilcoxon test for equality of dispersion.
2d Binning plot
Plot function for DepthDensity.
Plot Location-Scale depth contours.
Method for plotting DepthCurve and DDPlot object.
RobReg
Random number generation from unit sphere.
ScaleCurve and ScaleCurveList
Scale curve
trimProjReg2d
TrimReg2d
Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.
Useful links