R to Symbolic Data Analysis
a data.frame
convertir a data.frame
Extract values
convertir a data.frame
Burt Matrix
calc.k
calc.matrix.min
quantiles.RSDA
$ operator for histograms
$ operator for modals
$ operator for set
process.histogram.variable
Compute centers of the interval
cfa.CVPRealz
cfa.Czz
cfa.MatrixZ
cfa.minmax.new
cfa.minmax
cfa.totals
Check duplicated names in a quo
Generate a symbolic data frame
Generic function for the correlation
Generic function for the covariance
data.frame.to.RSDA.inteval.table.j
data.frame.to.RSDA.inteval.table
Compute the determination cosfficient
Compute the distance vector matrix
Compute a distance vector
onAttach
Extract data
Extract meta data
fixed.pca.j.new
Symbolic modal conversion functions to and from Character
Symbolic interval conversion functions to and from Character
Symbolic modal conversion functions to and from Character
Symbolic set conversion functions to and from Character
generate.columns.interval
generate.columns.multivalued
generate.columns.set
generate.sym.table
Projections onto PCA
Projections onto PCA
Interval Matrix associated to a Histogram Matrix
Extract categories
Extract prop
HistRSDAToEcdf
generate.columns.interval
calcula centros
Histogram plot for an interval variable
Calculate the large of each interval
Lenght for interval
calcula maximos
calcula minimos
calcula rangos
Symbolic histogram
Symbolic interval
Symbolic modal
Symbolic set
limits.histogram.disjoint.pca.variable
limits.histogram.pca
map function over symbolic table
Maxima and Minima
Plot Interval Scatterplot
Summary method to CM and CRM regression model
Compute neighbors vertex
Create an symbolic_histogram type object
Create an symbolic_interval type object
Create an symbolic_modal type object
Create an symbolic_set type object
newSobject
Compute the norm of a vector.
Optimized PCA Distance
optim.desv.fun.interval
Optimized PCA Variance
optim.pca.variance.j
Calculate the distance
pca.supplementary.vertex.fun.j
Calculate the variance
Percentil.Arrow.plot
Pipe operator
Plot UMAP for symbolic data tables
Plot symbolic PCA
Function for plotting a symbolic object
plotX.slice
process.continue.variable
process.inter.cont.variable
process.mult.nominal.modif.variable
process.mult.nominal.variable
process.nominal.variable
quantiles.RSDA.KS
quantiles.RSDA
Lower boundary correlation coefficient.
Upper boundary correlation coefficient.
Read a Symbolic Table
Lower boundary root-mean-square error
Upper boundary root-mean-square error
R to Symbolic Data Analysis
RSDA.to.latex
Generic function for the standard desviation
SDS SODAS files to RSDA files.
XML SODAS files to RSDA files.
Standardized Intervals
Extract or replace parts of a Symbolic Data Table
subset for symbolic table
sym.all.quantiles.mesh3D.plot
sym.all.quantiles.plot
Symbolic Circle of Correlations
sym.continuos.plot
Distance for Symbolic Interval Variables.
Generalized Boosted Symbolic Regression
Lasso, Ridge and and Elastic Net Linear regression model to interval v...
sym.hist.plot
sym.histogram.pca
Create an symbolic_histogram type object
optim.desv.fun.interval
Compute the distance between two rows
Symbolic interval principal curves limits
Compute a symbolic interval principal components curves
sym.interval.pca.limits.new.j
sym.interval.plot
Create an symbolic_interval type object
sym.interval.vertex.pca.j
Symbolic k-Means
Symbolic k-Nearest Neighbor Regression
CM and CRM Linear regression model.
sym.mcfa
sym.modal.plot
Create an symbolic_modal type object
Symbolic neural networks regression
Sym.PCA.Hist.PCA.k.plot
Interval Principal Components Analysis.
Predict method to CM and CRM regression model
Predict model_gbm_cm model
Predict model_gbm_crm model
Predict model_knn_cm model
Predict model_knn_crm model
Predict nnet_cm model
Predict nnet_crm model
Predict rf_cm model
Predict rf_crm model
Predict rt_cm model
Predict rt_crm model
Predict model_svm_cm model
Predict model_svm_crm model
sym.quantiles.PCA.plot
Internal sym.radar.data
Internal sym.radar.plot the distence between two rows
Symbolic Regression with Random Forest
Symbolic Regression Trees
sym.scale.interval
sym.scale.matrix.j
Symbolic Scatter Plot
sym.set.plot
Create an symbolic_set type object
Symbolic Support Vector Machines Regression
UMAP for Symbolic Data
Symbolic Variable
Symbolic mean for intervals
Symbolic Median
tbl_subset_col
to.v2
to.v3
Extract length
Symbolic Variance
Variance of the principal curve
abbr for symbolic modal
abbr for symbolic interval
abbr for symbolic modal
abbr for symbolic set
full name for symbolic modal
full name for symbolic interval
full name for symbolic set
full name for symbolic set
vertex.interval.new.j
Vertex of the intervals
vertex.pca.j
weighted.center.Hist.RSDA
Write Symbolic Data Table
Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.