dad: Three-Way Data Analysis Through Densities

The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides functional methods (principal component analysis, multidimensional scaling, discriminant analysis...) for such probability densities.

AuthorRachid Boumaza, Pierre Santagostini, Smail Yousfi, Gilles Hunault, Sabine Demotes-Mainard
Date of publication2016-12-16 15:35:18
MaintainerRachid Boumaza <>
LicenseGPL (>= 2)

View on CRAN

Man pages

appendtofolderh: Adds a data frame to a 'folderh'. Folder to data frame Hierarchic folder to data frame

as.folder: Coerce to a folder Data frame to folder

as.folder.folderh: Hierarchic folder to folder

bandwidth.parameter: Parameter of the normal reference rule

castles.dated: Dated castles

castles.nondated: Alsacian castles

cor.folder: Correlation matrices of a folder of data sets

dad-package: Three-Way Data Analysis Through Densities

distl2d: Distance between probability densities

distl2dpar: Distance between probability densities

fdiscd.misclass: Misclassification ratio in functional discriminant analysis...

fdiscd.predict: Predicting the class of a group of individuals with...

fmdsd: Multidimensional scaling of probability densities

folder: Folder of data sets

folderh: Hierarchic folder of n data frames related in pairs by (n-1)...

fpcad: Functional PCA of probability densities

interpret: Scores of the 'fpcad' or 'fmdsd' function vs. moments of the...

interpret.fmdsd: Scores of the 'fmdsd' function vs. moments of the densities

interpret.fpcad: Scores of the 'fpcad' function vs. moments of the densities

is.fdiscd.misclass: Class 'fdiscd.misclass'

is.fdiscd.predict: Class 'fdiscd.predict'

is.fmdsd: Class 'fmdsd'

is.folder: Class 'folder'

is.folder.h: Class 'folderh'

is.fpcad: Class 'fpcad'

kurtosis.folder: Kurtosis coefficients of a folder of data sets

l2d: L^2 inner product of estimated probability densities

l2dpar: L^2 inner product of Gaussian densities

matdistl2d: Matrix of L^2 distances

matdistl2dpar: Matrix of L^2 distances

matipl2d: Matrix of L^2 inner products

matipl2dpar: Matrix of L^2 inner products

mean.folder: Means of a folder of data sets

plot.fmdsd: Plotting scores of multidimensional scaling of density...

plot.fpcad: Plotting scores of principal component analysis of density...

plotframes: Plotting of two sets of variables

print.fdiscd.misclass: Printing results of discriminant analysis of probability...

print.fdiscd.predict: Printing results of discriminant analysis of probability...

print.fmdsd: Printing results of a multidimensional scaling analysis of...

print.fpcad: Printing results of a functional PCA of probability densities

roseflowers: Rose flowers

roseleaves: Rose leaves

roses: Roses data

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

var.folder: Variance matrices of a folder of data sets

Files in this package

dad/R/kurtosis.folder.R dad/R/fmdsd.R dad/R/is.fpcad.R dad/R/ dad/R/is.folder.R dad/R/as.folder.folderh.R dad/R/appendtofolderh.R dad/R/is.fmdsd.R dad/R/plot.fmdsd.R dad/R/as.folder.R dad/R/fdiscd.misclass.R dad/R/summary.folderh.R dad/R/is.fdiscd.predict.R dad/R/folderh.R
dad/R/is.folderh.R dad/R/print.fpcad.R
dad/R/sqrtmatrix.R dad/R/bandwidth.parameter.R dad/R/matipl2d.R dad/R/ dad/R/interpret.fmdsd.R dad/R/print.fdiscd.misclass.R dad/R/interpret.R dad/R/fpcad.R dad/R/defunct.R dad/R/l2dpar.R dad/R/mean.folder.R dad/R/plot.fpcad.R dad/R/print.fmdsd.R dad/R/is.fdiscd.misclass.R dad/R/matdistl2d.R dad/R/var.folder.R dad/R/distl2d.R dad/R/l2d.R dad/R/cor.folder.R dad/R/plotframes.R dad/R/matipl2dpar.R dad/R/summary.folder.R dad/R/fdiscd.predict.R dad/R/ dad/R/skewness.folder.R dad/R/print.fdiscd.predict.R dad/R/matdistl2dpar.R dad/R/interpret.fpcad.R
dad/man/distl2d.Rd dad/man/roseflowers.Rd dad/man/summary.folderh.Rd dad/man/plot.fmdsd.Rd dad/man/cor.folder.Rd dad/man/matdistl2d.Rd dad/man/as.folder.Rd dad/man/is.fdiscd.predict.Rd dad/man/sqrtmatrix.Rd dad/man/fmdsd.Rd dad/man/matdistl2dpar.Rd dad/man/fpcad.Rd dad/man/is.fpcad.Rd dad/man/l2dpar.Rd dad/man/plot.fpcad.Rd dad/man/print.fpcad.Rd dad/man/castles.nondated.Rd dad/man/is.fdiscd.misclass.Rd dad/man/interpret.fpcad.Rd dad/man/print.fdiscd.misclass.Rd dad/man/ dad/man/ dad/man/plotframes.Rd dad/man/fdiscd.predict.Rd dad/man/distl2dpar.Rd dad/man/ dad/man/bandwidth.parameter.Rd dad/man/roses.Rd dad/man/summary.folder.Rd dad/man/mean.folder.Rd dad/man/dad-package.Rd dad/man/print.fmdsd.Rd dad/man/folder.Rd dad/man/var.folder.Rd dad/man/skewness.folder.Rd dad/man/print.fdiscd.predict.Rd dad/man/l2d.Rd dad/man/castles.dated.Rd dad/man/matipl2dpar.Rd dad/man/is.folder.h.Rd dad/man/matipl2d.Rd dad/man/interpret.Rd dad/man/fdiscd.misclass.Rd dad/man/interpret.fmdsd.Rd dad/man/is.folder.Rd dad/man/roseleaves.Rd dad/man/appendtofolderh.Rd dad/man/is.fmdsd.Rd dad/man/as.folder.folderh.Rd dad/man/folderh.Rd dad/man/kurtosis.folder.Rd

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