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RSDA (version 2.0)

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

287

Version

2.0

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

June 8th, 2017

Functions in RSDA (2.0)

SDS.to.RSDA

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

XML SODAS files to RSDA files.
RMSE.U

Upper boundary root-mean-square error
RSDA

R to Symbolic Data Analysis
StudentsGrades

Data Example.
Table7

Table7
Cardiological

Cardiological data example
R2.L

Lower boundary correlation coefficient.
R2.U

Upper boundary correlation coefficient.
RMSE.L

Lower boundary root-mean-square error
USCrime

Us crime classic data table
VeterinaryData

Symbolic interval data example
cfa.totals

cfa.totals
classic.to.sym

Generate a symbolic data table
example1

Data Example 1
example2

Data Example 2
generate.sym.table

Generate a Symbolic Data Table
int_prost_test

Linear regression model data example.
cfa.minmax

cfa.minmax
cfa.scatterplot

CFA Symbolic Scatter Plot
cor

Generic function for the correlation
cov

Generic function for the covariance
centers.interval

Compute centers of the interval
cfa.CVPRealz

cfa.CVPRealz
dist.interval

Distance for Symbolic Interval Variables.
dist.set

Distance for Symbolic Set Variables.
example5

Data Example 5
example6

Data Example 6
lynne2

Symbolic interval data example.
interval.dist

Interval Distance Matrix
interval.dist.tobj

Symbolic Objects Distance
median.sym.data.table

Symbolic Median
downarrow.matrix

downarrow.matrix
ex1_db2so

Data example to generate symbolic objets
format_set_var

format.set.var
format_sym_vars

format.sym.vars
oils

Ichino Oils example data.
process.inter.cont.variable

process.inter.cont.variable
process.interval.variable

process.interval.variable
sym.cor

Symbolic Correlation
sym.cov

Symbolic Covariance
sym.data.table.to.sym.var

sym.data.table.to.sym.var
sym.glm

Lasso, Ridge and and Elastic Net Linear regression model to interval variables
sym.scatterplot.ggplot

Symbolic Scatter GGPlot
sym.scatterplot3d

Symbolic Scatter Plot 3D
vertex.interval

Vertex of the intervals
plotX.slice

plotX.slice
abalone

SODAS XML data file.
calculate.probs

process.histogram.variable
dist.vect

Compute a distance vector
dist.vect.matrix

Compute the distance vector matrix
ex_cfa1

Correspondence Analysis Example
ex_cfa2

Correspondence Analysis Example
format_continuous_var

format.continuous.var
neighbors.vertex

Compute neighbors vertex
process.modal.variable

process.modal.variable
process.mult.nominal.modif.variable

process.mult.nominal.modif.variable
sodasXML

sodasXML
format_interval_var

format.interval.var
format_modal_var

format.modal.var
interval.histogram.plot

Histogram plot for an interval variable
lynne1

Symbolic interval data example.
write.sym.table

Write Symbolic Data Table
mean.sym.data.table

Symbolic Mean
process.mult.nominal.variable

process.mult.nominal.variable
process.nominal.variable

process.nominal.variable
rightarrow.matrix

rightarrow.matrix
sd

Generic function for the standard desviation
predictsym.glm

Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables
predictsym.lm

Predict method to CM and CRM Linear regression model
sym.lm

CM and CRM Linear regression model.
sym.lm.bi

Symbolic Linear Regression for two variables.
sym.mds

Symbolic Multidemensional Scaling
sym.mean

Symbolic Mean
[.sym.data.table

Extract or replace parts of a Symbolic Data Table
sym.obj

Symbolic Object
sym.radar.plot.

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

Symbolic Standard Desviation
sym.var

Symbolic Variable (Feature)
sym.hclust

Symbolic Hierarchical Clustering
sym.histogram.pca

Histogram Principal Components Analysis
sym.median

Symbolic Median
sym.normalize

sym.normalize
format_hist_var

format.hist.var
int_prost_train

Linear regression model data example.
interscal.B

interscal.B
print.sym.data.table

Printing Symbolic Data Table
process.continue.variable

process.continue.variable
process.set.variable

process.set.variable
read.sym.table

Read a Symbolic Table
sym.cfa

Symbolic correspondence analysis
sym.circle.plot

Symbolic Circle of Correlations
var

Generic function for the Variance
variance.princ.curve

Variance of the principal curve
cfa.Czz

cfa.Czz
cfa.MatrixZ

cfa.MatrixZ
deter.coefficient

Compute the determination cosfficient
display.sym.table

display.sym.table
sym.interval.pc

Compute a symbolic interval principal components curves
sym.interval.pc.limits

Symbolic interval principal curves limits
sym.variance

Symbolic Variance
uscrime_int

Us crime interval data table.
example3

Data Example 3
example4

Data Example 4
example7

Data Example 7
facedata

Face Data Example
interscal

Interscal Method
interscal.delta

interscal.delta
newSobject

newSobject
norm.vect

Compute the norm of a vector.
process.continuum.variable

process.continuum.variable
process.histogram.variable

process.histogram.variable
sym.Interval.distance

Compute the distance between two rows
sym.Multieval.distance

Compute the distance between two rows
sym.interval.pca

Interval Principal Components Analysis.
sym.kmean

Symbolic k-Means
sym.radar.plot

Radar Plot For Symbolic Interval Variables
sym.scatterplot

Symbolic Scatter Plot