Three-Way Data Analysis Through Densities

[Up] [Top]

Documentation for package ‘dad’ version 1.0.2

Help Pages

dad-package Three-Way Data Analysis Through Densities
bandwidth.parameter Parameter of the normal reference rule
castles.dated Dated castles
castles.nondated Alsacian castles
corf Correlation matrices of a folder of data sets
dad Three-Way Data Analysis Through Densities
df2folder Data frame to folder
dist.l2d Distance between probability densities
dist.l2d.gp Distance between probability densities
dist.l2d.gp.u Distance between probability densities
dist.l2d.gs Distance between probability densities
dist.l2d.gs.u Distance between probability densities
dist.l2d.kga Distance between probability densities
dist.l2d.kga.u Distance between probability densities
dist.l2d.kgw Distance between probability densities
dist.l2d.kgw.u Distance between probability densities
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.
fmdsd Multidimensional scaling of probability densities
folder Folder of data sets
folder2df Folder to data frame
folderh Folder of two data sets related by a hierarchy
folderh2df Hierarchic folder of two data frames to data frame
folderh2folder Hierarchic folder of two data frames to folder of data frames whose column names are the same
fpcad Functional PCA of probability densities
Inner product of probability density functions Inner product of probability 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
is.fdiscd.misclass Class 'fdiscd.misclass'
is.fdiscd.predict Class 'fdiscd.predict'
is.fmdsd Class 'fmdsd'
is.folder Class 'folder'
is.folderh Class 'folderh'
is.fpcad Class 'fpcad'
kurtosisf Kurtosis coefficients of a folder of data sets
l2d Inner product of probability densities
l2d.gp L^2 inner product of multivariate Gaussian densities
l2d.gp.u L^2 inner product of univariate Gaussian densities
l2d.gs L^2 inner product of multivariate Gaussian densities
l2d.gs.u L^2 inner product of univariate Gaussian densities
l2d.kga L^2 inner product of estimated probability densities
l2d.kga.u L^2 inner product of estimated probability densities
l2d.kgw L^2 inner product of estimated probability densities
l2d.kgw.u L^2 inner product of estimated probability densities
mat.dist.l2d Matrix of L^2 distances
mat.dist.l2d.gp Matrix of L^2 distances
mat.dist.l2d.gp.u Matrix of L^2 distances
mat.dist.l2d.gs Matrix of L^2 distances
mat.dist.l2d.gs.u Matrix of L^2 distances
mat.dist.l2d.kga Matrix of L^2 distances
mat.dist.l2d.kga.u Matrix of L^2 distances
mat.dist.l2d.kgw Matrix of L^2 distances
mat.dist.l2d.kgw.u Matrix of L^2 distances
mat.ip.l2d Matrix of L^2 inner products
mat.ip.l2d.gp Matrix of L^2 inner products
mat.ip.l2d.gp.u Matrix of L^2 inner products
mat.ip.l2d.gs Matrix of L^2 inner products
mat.ip.l2d.gs.u Matrix of L^2 inner products
mat.ip.l2d.kga Matrix of L^2 inner products
mat.ip.l2d.kga.u Matrix of L^2 inner products
mat.ip.l2d.kgw Matrix of L^2 inner products
mat.ip.l2d.kgw.u Matrix of L^2 inner products
meanf Means of a folder of data sets
plot.fmdsd Plotting scores of multidimensional scaling of density functions
plot.fpcad Plotting scores of principal component analysis of density functions
plotframes Plotting of two sets of variables
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.fmdsd Printing results of a multidimensional scaling analysis of probability densities
print.fpcad Printing results of a functional PCA of probability densities
roseflowers Rose flowers
roses Roses data
skewnessf Skewness coefficients of a folder of data sets
sqrtmatrix Square root of a symmetric, positive semi-definite matrix
varf Variance matrices of a folder of data sets