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RSDA (version 3.2.4)

R to Symbolic Data Analysis

Description

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.

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Version

Install

install.packages('RSDA')

Monthly Downloads

618

Version

3.2.4

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

June 2nd, 2025

Functions in RSDA (3.2.4)

VeterinaryData

Symbolic interval data example
Sym.PCA.Hist.PCA.k.plot

Sym.PCA.Hist.PCA.k.plot
mean.symbolic_interval

Symbolic mean for intervals
$.symbolic_modal

$ operator for modals
SODAS.to.RSDA

XML SODAS files to RSDA files.
SDS.to.RSDA

SDS SODAS files to RSDA files.
as.data.frame.symbolic_modal

Extract values
as.data.frame.symbolic_histogram

a data.frame
as.data.frame.symbolic_set

convertir a data.frame
as.data.frame.symbolic_interval

convertir a data.frame
$.symbolic_set

$ operator for set
centers.interval

Compute centers of the interval
centers.interval.j

process.histogram.variable
cfa.MatrixZ

cfa.MatrixZ
cfa.CVPRealz

cfa.CVPRealz
cfa.minmax

cfa.minmax
calculate.quantils.RSDA

quantiles.RSDA
USCrime

Us crime classic data table
.onAttach

onAttach
calc.matrix.min

calc.matrix.min
median.symbolic_interval

Symbolic Median
classic.to.sym

Generate a symbolic data frame
calc.burt.sym

Burt Matrix
dist.vect.matrix

Compute the distance vector matrix
data.frame.to.RSDA.inteval.table

data.frame.to.RSDA.inteval.table
example4

Data Example 4
example7

Data Example 7
calc.k

calc.k
extract_meta

Extract meta data
example6

Data Example 6
abalone

SODAS XML data file.
check_quo_duplicated_names

Check duplicated names in a quo
extract_data

Extract data
data.frame.to.RSDA.inteval.table.j

data.frame.to.RSDA.inteval.table.j
format.symbolic_modal

Symbolic modal conversion functions to and from Character
format.symbolic_set

Symbolic set conversion functions to and from Character
deter.coefficient

Compute the determination cosfficient
get_props

Extract prop
dist.vect

Compute a distance vector
format.symbolic_histogram

Symbolic modal conversion functions to and from Character
format.symbolic_interval

Symbolic interval conversion functions to and from Character
example5

Data Example 5
cfa.Czz

cfa.Czz
interval.length

Lenght for interval
ex1_db2so

Data example to generate symbolic objets
interval.max

calcula maximos
ex_cfa1

Correspondence Analysis Example
facedata

Face Data Example
int_prost_test

Linear regression model data example.
ex_mcfa2

Multiple Correspondence Analysis Example
get.limits.PCA

Projections onto PCA
$.symbolic_histogram

$ operator for histograms
get.limits.PCA.indivduals

Projections onto PCA
fixed.pca.j.new

fixed.pca.j.new
example1

Data Example 1
hardwoodBrito

Hard Wood Data Example
cardiologicalv2

Cardiological data example
lynne1

Symbolic interval data example.
pca.supplementary.vertex.fun.j.new

Calculate the distance
optim.pca.distance.j

optim.desv.fun.interval
pca.supplementary.vertex.fun.j

pca.supplementary.vertex.fun.j
map_symbolic_tbl

map function over symbolic table
[.sym.data.table

Extract or replace parts of a Symbolic Data Table
[.symbolic_tbl

subset for symbolic table
sym.dist.interval

Distance for Symbolic Interval Variables.
cor

Generic function for the correlation
sym.all.quantiles.plot

sym.all.quantiles.plot
stand.data

Standardized Intervals
sym.continuos.plot

sym.continuos.plot
process.inter.cont.variable

process.inter.cont.variable
process.continue.variable

process.continue.variable
cfa.minmax.new

cfa.minmax.new
optim.pca.distance.j.new

Optimized PCA Distance
cfa.totals

cfa.totals
sym.circle.plot

Symbolic Circle of Correlations
sd

Generic function for the standard desviation
sym.knn

Symbolic k-Nearest Neighbor Regression
ex_mcfa1

Multiple Correspondence Analysis Example
int_prost_train

Linear regression model data example.
ex_cfa2

Correspondence Analysis Example
generate.columns.set

generate.columns.set
sym.kmeans

Symbolic k-Means
cov

Generic function for the covariance
example3

Data Example 3
generate.columns.interval

generate.columns.interval
example2

Data Example 2
generate.sym.table

generate.sym.table
sym.predict.symbolic_gbm_cm

Predict model_gbm_cm model
sym.predict

Predict method to CM and CRM regression model
sym.histogram.pca

sym.histogram.pca
interval.centers

calcula centros
sym.modal

Create an symbolic_modal type object
is.sym.modal

Symbolic modal
generate.columns.multivalued

generate.columns.multivalued
intersection.interval

generate.columns.interval
sym.histogram.to.latex

optim.desv.fun.interval
sym.modal.plot

sym.modal.plot
is.sym.set

Symbolic set
interval.min

calcula minimos
get.sym.interval.limits

Interval Matrix associated to a Histogram Matrix
mcfa.scatterplot

Plot Interval Scatterplot
is.sym.histogram

Symbolic histogram
is.sym.interval

Symbolic interval
get_cats

Extract categories
interval.histogram.plot

Histogram plot for an interval variable
sym.predict.symbolic_rf_crm

Predict rf_crm model
sym.predict.symbolic_knn_crm

Predict model_knn_crm model
sym.predict.symbolic_nnet_cm

Predict nnet_cm model
method_summary

Summary method to CM and CRM regression model
pca.supplementary.vertex.lambda.fun.j

Calculate the variance
new.sym.set

Create an symbolic_set type object
%>%

Pipe operator
newSobject

newSobject
sym.gbm

Generalized Boosted Symbolic Regression
oils

Ichino Oils example data.
norm.vect

Compute the norm of a vector.
plotX.slice

plotX.slice
interval.ranges

calcula rangos
sym.glm

Lasso, Ridge and and Elastic Net Linear regression model to interval variables
plot.symbolic_tbl

Function for plotting a symbolic object
quantiles.RSDA

quantiles.RSDA
sym.predict.symbolic_gbm_crm

Predict model_gbm_crm model
optim.pca.variance.j.new

Optimized PCA Variance
optim.pca.variance.j

optim.pca.variance.j
sym.scatterplot

Symbolic Scatter Plot
new.sym.histogram

Create an symbolic_histogram type object
process.nominal.variable

process.nominal.variable
neighbors.vertex

Compute neighbors vertex
sym.interval

Create an symbolic_interval type object
sym.histogram

Create an symbolic_histogram type object
sym.hist.plot

sym.hist.plot
sym.predict.symbolic_rt_cm

Predict rt_cm model
read.sym.table

Read a Symbolic Table
sym.radar.data

Internal sym.radar.data
sym.umap

UMAP for Symbolic Data
vec_ptype_abbr.symbolic_modal

abbr for symbolic modal
sym.all.quantiles.mesh3D.plot

sym.all.quantiles.mesh3D.plot
quantiles.RSDA.KS

quantiles.RSDA.KS
sym.radar.plot

Internal sym.radar.plot the distence between two rows
sym.var

Symbolic Variable
sym.predict.symbolic_rf_cm

Predict rf_cm model
sym.predict.symbolic_nnet_crm

Predict nnet_crm model
sym.interval.pca.limits.new.j

sym.interval.pca.limits.new.j
vec_ptype_abbr.symbolic_set

abbr for symbolic set
sym.Interval.distance

Compute the distance between two rows
sym.predict.symbolic_knn_cm

Predict model_knn_cm model
sym.predict.symbolic_svm_crm

Predict model_svm_crm model
sym.interval.pc.limits

Symbolic interval principal curves limits
to.v3

to.v3
sym.mcfa

sym.mcfa
sym.quantiles.PCA.plot

sym.quantiles.PCA.plot
sym.lm

CM and CRM Linear regression model.
sym.interval.pc

Compute a symbolic interval principal components curves
uscrime_intv2

Us crime interval data table.
sym.scale.matrix.j

sym.scale.matrix.j
sym.scale.interval

sym.scale.interval
sym.set

Create an symbolic_set type object
var

Symbolic Variance
uscrime_int

Us crime interval data table.
vec_ptype_abbr.symbolic_histogram

abbr for symbolic modal
vec_ptype_abbr.symbolic_interval

abbr for symbolic interval
sym.rf

Symbolic Regression with Random Forest
vertex.interval.new.j

vertex.interval.new.j
sym.rt

Symbolic Regression Trees
to.v2

to.v2
vertex.pca.j

vertex.pca.j
vec_ptype_full.symbolic_set

full name for symbolic set
vertex.interval

Vertex of the intervals
vec_ptype_full.symbolic_modal

full name for symbolic set
interval.large

Calculate the large of each interval
tbl_subset_col

tbl_subset_col
weighted.center.Hist.RSDA

weighted.center.Hist.RSDA
limits.histogram.disjoint.pca.variable

limits.histogram.disjoint.pca.variable
new.sym.intreval

Create an symbolic_interval type object
limits.histogram.pca

limits.histogram.pca
plot.sym_umap

Plot UMAP for symbolic data tables
process.mult.nominal.modif.variable

process.mult.nominal.modif.variable
sym.nnet

Symbolic neural networks regression
process.mult.nominal.variable

process.mult.nominal.variable
sym.interval.vertex.pca.j

sym.interval.vertex.pca.j
plot.symbolic_pca

Plot symbolic PCA
new.sym.modal

Create an symbolic_modal type object
sym.interval.plot

sym.interval.plot
sym.predict.symbolic_rt_crm

Predict rt_crm model
sym.svm

Symbolic Support Vector Machines Regression
sym.predict.symbolic_svm_cm

Predict model_svm_cm model
var.length

Extract length
sym.pca

Interval Principal Components Analysis.
sym.set.plot

sym.set.plot
vec_ptype_full.symbolic_histogram

full name for symbolic modal
write.sym.table

Write Symbolic Data Table
vec_ptype_full.symbolic_interval

full name for symbolic interval
variance.princ.curve

Variance of the principal curve
R2.U

Upper boundary correlation coefficient.
HistRSDAToEcdf

HistRSDAToEcdf
RSDA

R to Symbolic Data Analysis
Percentil.Arrow.plot

Percentil.Arrow.plot
min.symbolic_interval

Maxima and Minima
R2.L

Lower boundary correlation coefficient.
RMSE.U

Upper boundary root-mean-square error
RMSE.L

Lower boundary root-mean-square error
RSDA.to.latex

RSDA.to.latex
Cardiological

Cardiological data example