R: Analysis of Symbolic Data

# Analysis of Symbolic Data

## Documentation for package ‘symbolicDA’ version 0.7-3

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

## Help Pages

bagging.SDA | Bagging algorithm for optimal split based on decision tree for symbolic objects
boosting.SDA | Boosting algorithm for optimal split based decision tree for symbolic objects
cars | real data set in symbolic form - selected car models described by a set of symbolic variables
cluster.Description.SDA | description of clusters of symbolic objects
data_symbolic | Symbolic interval data
DClust | Dynamical clustering based on distance matrix
decisionTree.SDA | Decison tree for symbolic data
dist_SDA | distance measurement for symbolic data
draw.decisionTree.SDA | Draws optimal split based decision tree for symbolic objects
generate.SO | generation of artifficial symbolic data table with given cluster structure
HINoV.SDA | Modification of HINoV method for symbolic data
IchinoFS.SDA | Ichino's feature selection method for symbolic data
index.G1d | Calinski-Harabasz pseudo F-statistic based on distance matrix
interscal.SDA | Multidimensional scaling for symbolic interval data - InterScal algorithm
iscal.SDA | Multidimensional scaling for symbolic interval data - IScal algorithm
kernel.SDA | Kernel discriminant analysis for symbolic data
kohonen.SDA | Kohonen's self-organizing maps for symbolic interval-valued data
parse.SO | Reading symbolic data table from ASSO-format XML file
PCA.centers.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Centers_ algorithm
PCA.mrpca.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Midpoints and radii_ algorithm
PCA.spaghetti.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Spaghetti_ algorithm
PCA.spca.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _'Symbolic' PCA_ algorithm
PCA.vertices.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Vertices_ algorithm
random.forest.SDA | Random forest algorithm for optimal split based decision tree for symbolic objects
replication.SDA | Modification of replication analysis for cluster validation of symbolic data
RSDA2SymbolicDA | Read a Symbolic Table from
save.SO | saves symbolic data table of 'symbolic' class to xml file
SClust | Dynamical clustering of symbolic data
simple2SO | Change of representation of symbolic data from simple form to symbolic data table
SO2Simple | Change of representation of symbolic data from symbolic data table to simple form
subsdt.SDA | Subset of symbolic data table
symbolic.object | Symbolic data table Object
symscal.SDA | Multidimensional scaling for symbolic interval data - SymScal algorithm
zoomStar | zoom star chart for symbolic data