dad4.1.2 package

Three-Way / Multigroup Data Analysis Through Densities

appendtofolderh

Adds a data frame to a folderh.

as.data.frame.folder

Folder to data frame

as.data.frame.folderh

Hierarchic folder to data frame

as.data.frame.foldert

foldert to data frame

as.folder.data.frame

Data frame to folder

as.folder.folderh

Hierarchic folder to folder

as.folder

Coerce to a folder

as.folderh.foldermtg

Build a hierarchic folder from an object of class foldermtg

as.folderh

Coerce to a folderh

as.foldert.array

Data frame to foldert

as.foldert.data.frame

Data frame to foldert

as.foldert

Coerce to a foldert

associations.folder

Association measures between categorical variables of the data frames ...

associations

Association measures between several categorical variables of a data f...

bandwidth.parameter

Parameter of the normal reference rule

cor.folder

Correlation matrices of a folder of data sets

cut.data.frame

Change numeric variables into factors

cut.folder

In a folder: change numeric variables into factors

dad-package

Three-Way Data Analysis Through Densities

ddchisqsym

Distance between probability distributions of discrete variables given...

ddchisqsympar

Distance between discrete probability distributions given the probabil...

ddhellinger

Distance between probability distributions of discrete variables given...

ddhellingerpar

Distance between discrete probability distributions given the probabil...

ddjeffreys

Divergence between probability distributions of discrete variables giv...

ddjeffreyspar

Distance between discrete probability distributions given the probabil...

ddjensen

Divergence between probability distributions of discrete variables giv...

ddjensenpar

Divergence between discrete probability distributions given the probab...

ddlp

Distance between probability distributions of discrete variables given...

ddlppar

Distance between discrete probability distributions given the probabil...

discdd.misclass

Misclassification ratio in functional discriminant analysis of discret...

discdd.predict

Predicting the class of a group of individuals with discriminant analy...

distl2d

L2L^2 distance between probability densities

distl2dnorm

L2L^2 distance between L2L^2-normed probability densities

distl2dnormpar

L2L^2 distance between L2L^2-normed Gaussian densities given their par...

distl2dpar

L2L^2 distance between Gaussian densities given their parameters

dstatis.inter

Dual STATIS method (interstructure stage)

fdiscd.misclass

Misclassification ratio in functional discriminant analysis of probabi...

fdiscd.predict

Predicting the class of a group of individuals with discriminant analy...

fhclustd

Hierarchic cluster analysis of probability densities

fmdsd

Multidimensional scaling of probability densities

folder

Folder of data sets

folderh

Hierarchic folder of n data frames related in pairs by (n-1) keys

foldermtg

foldermtg

foldert

Folder of data sets among time

fpcad

Functional PCA of probability densities

fpcat

Functional PCA of probability densities among time

getcolfolder

Select columns in all elements of a folder

getcolfoldert

Select columns in all elements of a foldert

getrowfolder

Select rows in all elements of a folder

getrowfoldert

Select rows in all elements of a foldert

hclustdd

Hierarchic cluster analysis of discrete probability distributions

hellinger

Hellinger distance between Gaussian densities

hellingerpar

Hellinger distance between Gaussian densities given their parameters

interpret.dstatis

Scores of the dstatis function vs. moments of the densities

interpret.fmdsd

Scores of the fmdsd function vs. moments of the densities

interpret.fpcad

Scores of the fpcad function vs. moments of the densities

interpret.fpcat

Scores of the "fpcat" function vs. moments of the densities

interpret.mdsdd

Scores of the mdsdd function vs. marginal probability distributions ...

interpret

Scores of fmdsd, dstatis, fpcad, or fpcat vs. moments, or scor...

is.discdd.misclass

Class discdd.misclass

is.discdd.predict

Class discdd.predict

is.dstatis

Class dstatis

is.fdiscd.misclass

Class fdiscd.misclass

is.fdiscd.predict

Class fdiscd.predict

is.fhclustd

Class fhclustd

is.fmdsd

Class fmdsd

is.folder

Class folder

is.folderh

Class folderh

is.foldermtg

Class foldermtg

is.foldert

Class foldert

is.fpcad

Class fpcad

is.mdsdd

Class mdsdd

jeffreys

Jeffreys measure between Gaussian densities

jeffreyspar

Jeffreys measure between Gaussian densities given their parameters

kurtosis.folder

Kurtosis coefficients of a folder of data sets

l2d

L2L^2 inner product of probability densities

l2dpar

L2L^2 inner product of Gaussian densities given their parameters

matddchisqsym

Matrix of distances between discrete probability densities given sampl...

matddchisqsympar

Matrix of distances between discrete probability densities given the p...

matddhellinger

Matrix of distances between discrete probability densities given sampl...

matddhellingerpar

Matrix of distances between discrete probability densities given the p...

matddjeffreys

Matrix of distances between discrete probability densities given sampl...

matddjeffreyspar

Matrix of divergences between discrete probability densities given the...

matddjensen

Matrix of divergences between discrete probability densities given sam...

matddjensenpar

Matrix of divergences between discrete probability densities given the...

matddlp

Matrix of distances between discrete probability distributions given s...

matddlppar

Matrix of distances between discrete probability densities given the p...

matdistl2d

Matrix of L2L^2 distances between probability densities

matdistl2dnorm

Matrix of L2L^2 distances between L2L^2-normed probability densities

matdistl2dnormpar

Matrix of L2L^2 distances between L2L^2-normed Gaussian densities give...

matdistl2dpar

Matrix of L2L^2 distances between Gaussian densities given their param...

mathellinger

Matrix of Hellinger distances between Gaussian densities

mathellingerpar

Matrix of Hellinger distances between Gaussian densities given their p...

matipl2d

Matrix of L2L^2 inner products of probability densities

matipl2dpar

Matrix of L2L^2 inner products of Gaussian densities

matjeffreys

Matrix of the Jeffreys measures (symmetrised Kullback-Leibler divergen...

matjeffreyspar

Matrix of Jeffreys measures (symmetrised Kullback-Leibler divergences)...

matwasserstein

Matrix of 2-Wassterstein distance between Gaussian densities

matwassersteinpar

Matrix of 2-Wasserstein distances between Gaussian densities

mdsdd

Multidimensional scaling of discrete probability distributions

mean.folder

Means of a folder of data sets

mtgcomponents

Components of upper scale of a vertex

mtgorder

Branching order of vertices

mtgrank

Ranks of vertices in a decomposition

plot.dstatis

Plotting scores of STATIS method (interstructure) analysis

plot.fhclustd

Plotting a hierarchical clustering

plot.fmdsd

Plotting scores of multidimensional scaling of density functions

plot.foldert

Plotting data of a foldert

plot.fpcad

Plotting scores of principal component analysis of density functions

plot.fpcat

Plotting scores of principal component analysis of density functions a...

plot.hclustdd

Plotting a hierarchical clustering of discrete distributions

plot.mdsdd

Plotting scores of multidimensional scaling analysis of discrete distr...

plotframes

Plotting of two sets of variables

print.discdd.misclass

Printing results of discriminant analysis of discrete probability dist...

print.discdd.predict

Printing results of discriminant analysis of discrete probability dist...

print.dstatis

Printing results of STATIS method (interstructure) analysis

print.fdiscd.misclass

Printing results of discriminant analysis of probability density funct...

print.fdiscd.predict

Printing results of discriminant analysis of probability density funct...

print.fhclustd

Printing results of a hierarchical clustering of probability density f...

print.fmdsd

Printing results of a multidimensional scaling analysis of probability...

print.foldermtg

Printing an object of class foldermtg

print.foldert

Printing an object of class foldert

print.fpcad

Printing results of a functional PCA of probability densities

print.fpcat

Printing results of a functional PCA of probability densities among ti...

print.hclustdd

Printing results of a hierarchical clustering of discrete distribution...

print.mdsdd

Printing results of a multidimensional scaling analysis of discrete di...

read.mtg

Read a MTG (Multiscale Tree Graph) file

rmcolfolder

Remove columns in all elements of a folder

rmcolfoldert

Remove cols in all elements of a foldert

rmrowfolder

Remove rows in all elements of a folder

rmrowfoldert

Remove rows in all elements of a foldert

skewness.folder

Skewness coefficients of a folder of data sets

sqrtmatrix

Square root of a symmetric, positive semi-definite matrix

summary.folder

Summarize a folder

summary.folderh

Summarize a folderh

summary.foldermtg

Summary of an object of class foldermtg

summary.foldert

Summarize a foldert

var.folder

Variance matrices of a folder of data sets

wasserstein

2-Wasserstein distance between Gaussian densities

wassersteinpar

2-Wasserstein distance between Gaussian densities given their paramete...

The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.

  • Maintainer: Pierre Santagostini
  • License: GPL (>= 2)
  • Last published: 2023-08-30