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RSDA (version 1.1)

RSDA - 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

376

Version

1.1

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

June 30th, 2013

Functions in RSDA (1.1)

Shis

Generate a histograma variable
RMSE.U

Upper boundary root-mean-square error
USCrime

Us crime classic data table
int_prost_train

Linear regression model data example
An introduction to RSDA

R to Symbolic Data Analysis
lynne1

Symbolic interval data example
interscal.B

Matrix B in interscal algorithm
cfa.minmax

Principal components of interval type
example5

Data Example 5
cfa.totals

Compute totals of the matrix
downarrow.matrix

Down Arrow Matrix
Dbload

Read a data table
predictsym.glm

Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables
int_prost_test

Linear regression model data example
display.sym.table

display.sym.table
Cardiological

Cardiological data example
write.sym.table

Write Symbolic Data Table
cfa.MatrixZ

Compute the matrix Z
cfa.scatterplot

CFA Symbolic Scatter Plot
sym.obj

Symbolic Object
plotX.slice

Plot Slice
R2.L

Lower boundary correlation coefficient.
example6

Data Example 7
interscal

Interscal Method
example3

Data Example 3
sym.scatterplot.ggplot

Symbolic Scatter GGPlot
sym.hclust

Symbolic Hierarchical Clustering
generate.sym.table

Generate a Symbolic Data Table
interscal.delta

Matrix delta in interscal algorithm
sym.sd

Symbolic Standard Desviation
uscrime_int

Us crime interval data table
oils

Ichino Oils example data
Sobject

Generate a symbolic data table
VeterinaryData

Symbolic interval data example
cfa.CVPRealz

Compute the eigenvectors
ex1_db2so

Data example to generate symbolic objets
sym.interval.pca

Interval Principal Components Analysis
sym.median

Symbolic Median
R2.U

Upper boundary correlation coefficient.
interval.dist.tobj

Symbolic Objects Distance
sym.var

Symbolic Variable (Feature)
read.sym.table

Read a Symbolic Table
sym.scatterplot3d

Symbolic Scatter Plot 3D
sym.mds

Symbolic Multidemensional Scaling
RMSE.L

Lower boundary root-mean-square error
interval.dist

Interval Distance Matrix
ex_cfa2

Correspondence Analysis Example
sym.cov

Symbolic Covariance
example7

Data Example 7
sym.cor

Symbolic Correlation
example2

Data Example 2
sym.variance

Symbolic Variance
lynne2

Symbolic interval data example
sym.mean

Symbolic Mean
sym.circle.plot

Symbolic Circle of Correlations
Sset

Generate a set variable
Sint

Generate a interval variable
Sconcept

Generate a concept
Scon

Generate a continuos variable
ex_cfa1

Correspondence Analysis Example
sym.kmeans

Symbolic k-Means
example1

Data Example 1
sym.lm.bi

Symbolic Linear Regression for two variables
predictsym.lm

Predict method to CM and CRM Linear regression model
deter.coefficient

Compute the determination cosfficient
StudentsGrades

Data Example
sym.lm

CM and CRM Linear regression model
cfa.Czz

Compute the eigenvectors
rightarrow.matrix

Right Arrow Matrix
sym.glm

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

Symbolic correspondence analysis
sym.scatterplot

Symbolic Scatter Plot
sym.normalize

Normalize a interval data table
example4

Data Example 4
sym.histogram.pca

Histogram Principal Components Analysis