Three-Way / Multigroup Data Analysis Through Densities

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Documentation for package ‘dad’ version 4.1.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

A B C D F G H I J K L M P R S T V W

dad-package

Three-Way Data Analysis Through Densities

-- A --

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	Coerce to a folder
as.folder.data.frame	Data frame to folder
as.folder.folderh	Hierarchic folder to folder
as.folderh	Coerce to a folderh
as.folderh.foldermtg	Build a hierarchic folder from an object of class foldermtg
as.foldert	Coerce to a foldert
as.foldert.array	Data frame to foldert
as.foldert.data.frame	Data frame to foldert

-- B --

bandwidth.parameter

Parameter of the normal reference rule

-- C --

castles	Alsacian castles by year of building
castles.dated	Dated Alsacian castles
castles.nondated	Non dated Alsacian castles
cor.folder	Correlation matrices of a folder of data sets
cramer.data.frame	Association measures between several categorical variables of a data frame
cramer.folder	Association measures between categorical variables of the data frames of a folder
cut.data.frame	Change numeric variables into factors
cut.folder	In a folder: change numeric variables into factors

-- D --

dad	Three-Way Data Analysis Through Densities
ddchisqsym	Distance between probability distributions of discrete variables given samples
ddchisqsympar	Distance between discrete probability distributions given the probabilities on their common support
ddhellinger	Distance between probability distributions of discrete variables given samples
ddhellingerpar	Distance between discrete probability distributions given the probabilities on their common support
ddjeffreys	Divergence between probability distributions of discrete variables given samples
ddjeffreyspar	Distance between discrete probability distributions given the probabilities on their common support
ddjensen	Divergence between probability distributions of discrete variables given samples
ddjensenpar	Divergence between discrete probability distributions given the probabilities on their common support
ddlp	Distance between probability distributions of discrete variables given samples
ddlppar	Distance between discrete probability distributions given the probabilities on their common support
departments	French departments and regions
discdd.misclass	Misclassification ratio in functional discriminant analysis of discrete probability distributions.
discdd.predict	Predicting the class of a group of individuals with discriminant analysis of probability distributions.
distl2d	L^2 distance between probability densities
distl2dnorm	L^2 distance between L^2-normed probability densities
distl2dnormpar	L^2 distance between L^2-normed Gaussian densities given their parameters
distl2dpar	L^2 distance between Gaussian densities given their parameters
dspg	Diploma x Socio professional group
dspgd2015	Diploma x Socio professional group by departement in 2015
dstatis	Dual STATIS method (interstructure stage)
dstatis.inter	Dual STATIS method (interstructure stage)

-- F --

fdiscd.misclass	Misclassification ratio in functional discriminant analysis of probability densities.
fdiscd.predict	Predicting the class of a group of individuals with discriminant analysis of probability densities.
fhclustd	Hierarchic cluster analysis of probability densities
floribundity	Rose flowering
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

-- G --

getcol.folder	Select columns in all elements of a folder
getcol.foldert	Select columns in all elements of a foldert
getrow.folder	Select rows in all elements of a folder
getrow.foldert	Select rows in all elements of a foldert

-- H --

hclustdd	Hierarchic cluster analysis of discrete probability distributions
hellinger	Hellinger distance between Gaussian densities
hellingerpar	Hellinger distance between Gaussian densities given their parameters

-- I --

interpret	Scores of 'fmdsd', 'dstatis', 'fpcad', or 'fpcat' vs. moments, or scores of 'mdsdd' vs. marginal distributions or association measures
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 or association measures
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'

-- J --

jeffreys	Jeffreys measure between Gaussian densities
jeffreyspar	Jeffreys measure between Gaussian densities given their parameters

-- K --

kurtosis.folder

Kurtosis coefficients of a folder of data sets

-- L --

l2d	L^2 inner product of probability densities
l2dpar	L^2 inner product of Gaussian densities given their parameters

-- M --

matddchisqsym	Matrix of distances between discrete probability densities given samples
matddchisqsympar	Matrix of distances between discrete probability densities given the probabilities on their common support
matddhellinger	Matrix of distances between discrete probability densities given samples
matddhellingerpar	Matrix of distances between discrete probability densities given the probabilities on their common support
matddjeffreys	Matrix of distances between discrete probability densities given samples
matddjeffreyspar	Matrix of divergences between discrete probability densities given the probabilities on their common support
matddjensen	Matrix of divergences between discrete probability densities given samples
matddjensenpar	Matrix of divergences between discrete probability densities given the probabilities on their common support
matddlp	Matrix of distances between discrete probability distributions given samples
matddlppar	Matrix of distances between discrete probability densities given the probabilities on their common support
matdistl2d	Matrix of L^2 distances between probability densities
matdistl2dnorm	Matrix of L^2 distances between L^2-normed probability densities
matdistl2dnormpar	Matrix of L^2 distances between L^2-normed Gaussian densities given their parameters
matdistl2dpar	Matrix of L^2 distances between Gaussian densities given their parameters
mathellinger	Matrix of Hellinger distances between Gaussian densities
mathellingerpar	Matrix of Hellinger distances between Gaussian densities given their parameters
matipl2d	Matrix of L^2 inner products of probability densities
matipl2dpar	Matrix of L^2 inner products of Gaussian densities
matjeffreys	Matrix of the Jeffreys measures (symmetrised Kullback-Leibler divergences) between Gaussian densities
matjeffreyspar	Matrix of Jeffreys measures (symmetrised Kullback-Leibler divergences) between Gaussian densities
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
mtgplant1	Class 'foldermtg'
mtgplant2	Class 'foldermtg'
mtgrank	Ranks of vertices in a decomposition

-- P --

pearson.data.frame	Association measures between several categorical variables of a data frame
pearson.folder	Association measures between categorical variables of the data frames of a folder
phi.data.frame	Association measures between several categorical variables of a data frame
phi.folder	Association measures between categorical variables of the data frames of a folder
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 among time
plot.hclustdd	Plotting a hierarchical clustering of discrete distributions
plot.mdsdd	Plotting scores of multidimensional scaling analysis of discrete distributions
plotframes	Plotting of two sets of variables
print.discdd.misclass	Printing results of discriminant analysis of discrete probability distributions
print.discdd.predict	Printing results of discriminant analysis of discrete probability distributions
print.dstatis	Printing results of STATIS method (interstructure) analysis
print.fdiscd.misclass	Printing results of discriminant analysis of probability density functions
print.fdiscd.predict	Printing results of discriminant analysis of probability density functions
print.fhclustd	Printing results of a hierarchical clustering of probability density functions
print.fmdsd	Printing results of a multidimensional scaling analysis of probability densities
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 time
print.hclustdd	Printing results of a hierarchical clustering of discrete distributions
print.mdsdd	Printing results of a multidimensional scaling analysis of discrete distributions

-- R --

read.mtg	Read a MTG (Multiscale Tree Graph) file
rmcol.folder	Remove columns in all elements of a folder
rmcol.foldert	Remove cols in all elements of a foldert
rmrow.folder	Remove rows in all elements of a folder
rmrow.foldert	Remove rows in all elements of a foldert
roseflowers	Rose flowers
roseleaves	Rose leaves
rosephytomer	Rose leaf and internode dynamics
roses	Roses data

-- S --

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

-- T --

topology	Read a MTG (Multiscale Tree Graph) file
tschuprow.data.frame	Association measures between several categorical variables of a data frame
tschuprow.folder	Association measures between categorical variables of the data frames of a folder

-- V --

var.folder	Variance matrices of a folder of data sets
varietyleaves	Rose variety leaves

-- W --

wasserstein	2-Wasserstein distance between Gaussian densities
wassersteinpar	2-Wasserstein distance between Gaussian densities given their parameters