Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 7 of 7 found.
[1] < 1 > [1]  Sort:

tmean (Package: depthTools) : Modified Band Depth-Based Alpha Trimmed Mean

tmean computes the mean of the deepest observations within the sample, their depths given by the Modified Band Depth, trimming out the proportion alpha of the outest observations.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: tmean
● 0 images

scalecurve (Package: depthTools) : Computation and Representation of the Scale Curve

scalecurve computes the scale curve of a given group, based on the modified band depth, at a given value p as the area of the band delimited by the [np] most central observations, where [np] is the largest integer smaller than np.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: scalecurve
● 0 images

R.test (Package: depthTools) : Rank Test Based on the Modified Band Depth

R.test performs the rank test based on the modified band depth, to decide whether two samples come from a single parent distribution.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: R.test
● 0 images

MBD (Package: depthTools) : Computation of the Modified Band Depth

MBD computes the modified band depth of each observation within a sample which either includes or not the given observation.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: MBD
● 0 images

classTAD (Package: depthTools) : Weighted Trimmed Mean Distance Classification Method

Implementation of the classification technique based on assigning each observation to the group that minimizes the trimmed average distance of the given observation to the deepest points of each group in the learning set, weighted by the depth of these points in their own group.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: classTAD
● 0 images

classDS (Package: depthTools) : Distance to the Trimmed Mean Classification Method

Implementation of the classification technique based on assigning each observation to the group that minimizes the distance of the observation to the trimmed mean of the group.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: classDS
● 0 images

centralPlot (Package: depthTools) : Plot of the central curves

centralPlot plots distinctly the [np] most central observations, where [np] is the largest integer smaller than np, and the remaining most external ones, according to the modified band depth.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: centralPlot
● 0 images