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RSDA (version 1.3)

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

1.3

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

November 4th, 2015

Functions in RSDA (1.3)

Cardiological

Cardiological data example
USCrime

Us crime classic data table
interval.dist

Interval Distance Matrix
norm.vect

Compute the norm of a vector
int_prost_test

Linear regression model data example
RMSE.U

Upper boundary root-mean-square error
dist.vect

Compute a distance vector
An introduction to RSDA

R to Symbolic Data Analysis
oils

Ichino Oils example data
interscal

Interscal Method
abalone

SODAS XML data file.
example4

Data Example 4
vertex.interval

Vertex of the intervals
example6

Data Example 7
dist.vect.matrix

Compute the distance vector matrix
VeterinaryData

Symbolic interval data example
uscrime_int

Us crime interval data table
example7

Data Example 7
ex1_db2so

Data example to generate symbolic objets
example5

Data Example 5
sym.cfa

Symbolic correspondence analysis
R2.U

Upper boundary correlation coefficient.
variance.princ.curve

Variance of the principal curve
facedata

Face Data Example
ex_cfa1

Correspondence Analysis Example
ex_cfa2

Correspondence Analysis Example
sym.interval.pc.limits

Symbolic interval principal curves limits
example3

Data Example 3
StudentsGrades

Data Example
lynne1

Symbolic interval data example
cfa.scatterplot

CFA Symbolic Scatter Plot
sym.lm

CM and CRM Linear regression model
sym.var

Symbolic Variable (Feature)
sym.cov

Symbolic Covariance
display.sym.table

display.sym.table
sym.hclust

Symbolic Hierarchical Clustering
generate.sym.table

Generate a Symbolic Data Table
SDS.to.RSDA

SDS SODAS files to RSDA files.
sym.obj

Symbolic Object
read.sym.table

Read a Symbolic Table
sym.glm

Lasso, Ridge and and Elastic Net Linear regression model to interval variables
SODAS.to.RSDA

XML SODAS files to RSDA files.
sym.kmeans

Symbolic k-Means
sym.mean

Symbolic Mean
RMSE.L

Lower boundary root-mean-square error
write.sym.table

Write Symbolic Data Table
sym.sd

Symbolic Standard Desviation
classic.to.sym

Generate a symbolic data table
sym.median

Symbolic Median
interval.dist.tobj

Symbolic Objects Distance
sym.variance

Symbolic Variance
sym.interval.pca

Interval Principal Components Analysis
sym.scatterplot.ggplot

Symbolic Scatter GGPlot
sym.lm.bi

Symbolic Linear Regression for two variables
deter.coefficient

Compute the determination cosfficient
example1

Data Example 1
example2

Data Example 2
predictsym.glm

Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables
sym.interval.pc

Compute a symbolic interval principal components curves
lynne2

Symbolic interval data example
R2.L

Lower boundary correlation coefficient.
predictsym.lm

Predict method to CM and CRM Linear regression model
sym.scatterplot3d

Symbolic Scatter Plot 3D
sym.scatterplot

Symbolic Scatter Plot
int_prost_train

Linear regression model data example
sym.histogram.pca

Histogram Principal Components Analysis
neighbors.vertex

Compute neighbors vertex
centers.interval

Compute centers of the interval
sym.mds

Symbolic Multidemensional Scaling
sym.cor

Symbolic Correlation
sym.circle.plot

Symbolic Circle of Correlations