R: Three-Way / Multigroup Data Analysis Through Densities

# Three-Way / Multigroup Data Analysis Through Densities

## Documentation for package ‘dad’ version 4.1.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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