Man pages for dad
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 | 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 |
| associations | Association measures between several categorical variables of... |
| associations.folder | Association measures between categorical variables of the... |
| bandwidth.parameter | Parameter of the normal reference rule |
| 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 |
| 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... |
| ddchisqsympar | Distance between discrete probability distributions given the... |
| ddhellinger | Distance between probability distributions of discrete... |
| ddhellingerpar | Distance between discrete probability distributions given the... |
| ddjeffreys | Divergence between probability distributions of discrete... |
| ddjeffreyspar | Distance between discrete probability distributions given the... |
| ddjensen | Divergence between probability distributions of discrete... |
| ddjensenpar | Divergence between discrete probability distributions given... |
| ddlp | Distance between probability distributions of discrete... |
| ddlppar | Distance between discrete probability distributions given the... |
| departments | French departments and regions |
| discdd.misclass | Misclassification ratio in functional discriminant analysis... |
| discdd.predict | Predicting the class of a group of individuals with... |
| 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... |
| distl2dpar | L^2 distance between Gaussian densities given their... |
| dspg | Diploma x Socio professional group |
| dspgd2015 | Diploma x Socio professional group by departement in 2015 |
| dstatis.inter | Dual STATIS method (interstructure stage) |
| fdiscd.misclass | Misclassification ratio in functional discriminant analysis... |
| fdiscd.predict | Predicting the class of a group of individuals with... |
| 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)... |
| 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... |
| hellinger | Hellinger distance between Gaussian densities |
| hellingerpar | Hellinger distance between Gaussian densities given their... |
| interpret | Scores of 'fmdsd', 'dstatis', 'fpcad', or 'fpcat' vs.... |
| 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... |
| 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... |
| kurtosis.folder | Kurtosis coefficients of a folder of data sets |
| l2d | L^2 inner product of probability densities |
| l2dpar | L^2 inner product of Gaussian densities given their... |
| matddchisqsym | Matrix of distances between discrete probability densities... |
| matddchisqsympar | Matrix of distances between discrete probability densities... |
| matddhellinger | Matrix of distances between discrete probability densities... |
| matddhellingerpar | Matrix of distances between discrete probability densities... |
| matddjeffreys | Matrix of distances between discrete probability densities... |
| matddjeffreyspar | Matrix of divergences between discrete probability densities... |
| matddjensen | Matrix of divergences between discrete probability densities... |
| matddjensenpar | Matrix of divergences between discrete probability densities... |
| matddlp | Matrix of distances between discrete probability... |
| matddlppar | Matrix of distances between discrete probability densities... |
| matdistl2d | Matrix of L^2 distances between probability densities |
| matdistl2dnorm | Matrix of L^2 distances between L^2-normed probability... |
| matdistl2dnormpar | Matrix of L^2 distances between L^2-normed Gaussian densities... |
| matdistl2dpar | Matrix of L^2 distances between Gaussian densities given... |
| mathellinger | Matrix of Hellinger distances between Gaussian densities |
| mathellingerpar | Matrix of Hellinger distances between Gaussian densities... |
| 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... |
| matjeffreyspar | Matrix of Jeffreys measures (symmetrised Kullback-Leibler... |
| matwasserstein | Matrix of 2-Wassterstein distance between Gaussian densities |
| matwassersteinpar | Matrix of 2-Wasserstein distances between Gaussian densities |
| mdsdd | Multidimensional scaling of discrete probability... |
| 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 |
| plot.dstatis | Plotting scores of STATIS method (interstructure) analysis |
| plot.fhclustd | Plotting a hierarchical clustering |
| plot.fmdsd | Plotting scores of multidimensional scaling of density... |
| plot.foldert | Plotting data of a foldert |
| plot.fpcad | Plotting scores of principal component analysis of density... |
| plot.fpcat | Plotting scores of principal component analysis of density... |
| plotframes | Plotting of two sets of variables |
| plot.hclustdd | Plotting a hierarchical clustering of discrete distributions |
| plot.mdsdd | Plotting scores of multidimensional scaling analysis of... |
| print.discdd.misclass | Printing results of discriminant analysis of discrete... |
| print.discdd.predict | Printing results of discriminant analysis of discrete... |
| print.dstatis | Printing results of STATIS method (interstructure) analysis |
| print.fdiscd.misclass | Printing results of discriminant analysis of probability... |
| print.fdiscd.predict | Printing results of discriminant analysis of probability... |
| print.fhclustd | Printing results of a hierarchical clustering of probability... |
| print.fmdsd | Printing results of a multidimensional scaling analysis of... |
| 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... |
| print.hclustdd | Printing results of a hierarchical clustering of discrete... |
| print.mdsdd | Printing results of a multidimensional scaling analysis of... |
| 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 |
| roseflowers | Rose flowers |
| roseleaves | Rose leaves |
| rosephytomer | Rose leaf and internode dynamics |
| 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 |
| summary.foldermtg | Summary of an object of class 'foldermtg' |
| summary.foldert | Summarize a foldert |
| var.folder | Variance matrices of a folder of data sets |
| varietyleaves | Rose variety leaves |
| wasserstein | 2-Wasserstein distance between Gaussian densities |
| wassersteinpar | 2-Wasserstein distance between Gaussian densities given their... |
