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RSDA (version 2.0.7)

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

2.0.7

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

October 5th, 2018

Functions in RSDA (2.0.7)

add_concept

add the concept
RSDA

R to Symbolic Data Analysis
calculate.probs

process.histogram.variable
centers.interval

Compute centers of the interval
cfa.minmax

cfa.minmax
cfa.minmax.new

cfa.minmax.new
ex1_db2so

Data example to generate symbolic objets
display.sym.table

display.sym.table
dist

Generic function for distance matrix computation
downarrow.matrix

downarrow.matrix
Table7

Table7
centers.interval.j

process.histogram.variable
cfa.CVPRealz

cfa.CVPRealz
USCrime

Us crime classic data table
VeterinaryData

Symbolic interval data example
cfa.scatterplot

CFA Symbolic Scatter Plot
ex_cfa1

Correspondence Analysis Example
cont.distance

Distance between continuous variables
abalone

SODAS XML data file.
classic.to.sym

Generate a symbolic data table
data.frame.to.RSDA.inteval.table.j

data.frame.to.RSDA.inteval.table.j
ex_cfa2

Correspondence Analysis Example
calc.burt.sym

Burt Matrix
example7

Data Example 7
deter.coefficient

Compute the determination cosfficient
extract_length_starts

Get symbolic data length
generate.columns.interval

generate.columns.interval
cfa.scatterplot.gg

Plot Interval Scatterplot
format_interval_var

format.interval.var
cor

Generic function for the correlation
interval.histogram.plot

Histogram plot for an interval variable
cov

Generic function for the covariance
generate.columns.multivalued

generate.columns.multivalued
is.vertex

is.vertex
cfa.Czz

cfa.Czz
format_modal_var

format.modal.var
example5

Data Example 5
example6

Data Example 6
int_prost_test

Linear regression model data example.
cfa.MatrixZ

cfa.MatrixZ
optim.pca.distance.j

optim.desv.fun.interval
example1

Data Example 1
generate.columns.set

generate.columns.set
optim.pca.variance.j

optim.pca.variance.j
create.meta.data

Extract meta data
data.fame.to.sym.inteval

data.fame.to.sym.inteval
select.dist

Select distance methods for a symbolic data table
generate.sym.table

Generate a Symbolic Data Table
example3

Data Example 3
example4

Data Example 4
lynne1

Symbolic interval data example.
example2

Data Example 2
cfa.totals

cfa.totals
set.distance

Distance between set variables
int_prost_train

Linear regression model data example.
interscal.delta

interscal.delta
interval.dist

Interval Distance Matrix
lynne2

Symbolic interval data example.
extract_sym_types

Get symbolic types
mean.sym.data.table

Symbolic Mean
neg.desv.fun

neg.desv.fun
meta.to.RSDA

meta.to.RSDA
median.sym.data.table

Symbolic Median
facedata

Face Data Example
get.rotation.matrix

get.rotation.matrix
hist.distance

Distance between histogram variables
change.coord

change.coord
sym.cor

Symbolic Correlation
neighbors.vertex

Compute neighbors vertex
plot.sym.data.table

Function for plotting a symbolic object
process.nominal.variable

process.nominal.variable
modal.distance

Distance between modal multivalued variables
interscal.B

interscal.B
process.set.variable

process.set.variable
sym.cov

Symbolic Covariance
dist.mod

dist.modal
interscal

Interscal Method
pander.sym.data.table

Pander method for symbolic data table
pca.supplementary.vertex.lambda.fun.j

pca.supplementary.vertex.lambda.fun.j
sym.hclust

Symbolic Hierarchical Clustering
sym.hist.plot

sym.hist.plot
sym.modal.plot

sym.modal.plot
oils

Ichino Oils example data.
plotX.slice

plotX.slice
process.continuum.variable

process.continuum.variable
process.continue.variable

process.continue.variable
process.mult.nominal.modif.variable

process.mult.nominal.modif.variable
sym.circle.plot

Symbolic Circle of Correlations
sym.continuos.plot

sym.continuos.plot
sodasXML

sodasXML
sym.interval.pc.limits.2.j

sym.interval.pc.limits.2.j
sym.interval.pc

Compute a symbolic interval principal components curves
sym.sd

Symbolic Standard Desviation
process.mult.nominal.variable

process.mult.nominal.variable
optim.desv.fun.interval

optim.desv.fun.interval
spark_bar

format.histogram bars.
[.sym.data.table

Extract or replace parts of a Symbolic Data Table
predictsym.glm

Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables
dist.modal

Distance matrix for symbolic data
sym.Interval.distance

Compute the distance between two rows
predictsym.lm

Predict method to CM and CRM Linear regression model
sym.set.plot

sym.set.plot
sym.data.table.to.sym.var

sym.data.table.to.sym.var
process.interval.variable

process.interval.variable
process.modal.variable

process.modal.variable
sym.normalize

sym.normalize
vertex.pca.j

vertex.pca.j
sym.radar.plot

Internal sym.radar.plot the distence between two rows
dist.vect

Compute a distance vector
sym.dist.set

Distance for Symbolic Set Variables.
sym.scatterplot

sym.scatterplot
sym.glm

Lasso, Ridge and and Elastic Net Linear regression model to interval variables
dist.vect.matrix

Compute the distance vector matrix
type.histogram

Symbolic histogram type
sym.histogram.pca

Histogram Principal Components Analysis
sym.dist.interval

Distance for Symbolic Interval Variables.
sym.interval.pc.2.j

sym.interval.pc.2.j
sym.mcfa

sym.mcfam
sym.mds

Symbolic Multidemensional Scaling
read.sym.table

Read a Symbolic Table
sym.interval.pca.limits.new.j

sym.interval.pca.limits.new.j
whiskers

whiskers
sym.table.latex

sym.table.latex
remove_meta_info

Remove meta data
sym.interval.plot

sym.interval.plot
type.interval

Symbolic interval type
sym.interval.vertex.pca.j

sym.interval.vertex.pca.j
vertex.interval

Vertex of the intervals
sym.Multieval.distance

Compute the distance between two rows
format_continuous_var

format.continuous.var
sym.cfa

Symbolic correspondence analysis
sym.var

Symbolic Variable (Feature)
vertex.interval.new.j

vertex.interval.new.j
format_hist_var

format.hist.var
sym.mean

Symbolic Mean
sym.variance

Symbolic Variance
format_set_var

format.set.var
sym.kmean

Symbolic k-Means
type.continuous

Symbolic continuous type
format_sym_vars

format.sym.vars
sym.median

Symbolic Median
sym.scatterplot.ggplot

Symbolic Scatter GGPlot
write.sym.table

Write Symbolic Data Table
interval.dist.tobj

Symbolic Objects Distance
interval.distance

Distance between interval variables
sym.scatterplot3d

Symbolic Scatter Plot 3D
type.modal

Symbolic modal type
type.set

Symbolic set type
sym.obj

Symbolic Object
sym.radar.data

Internal sym.radar.data
var

Generic function for the Variance
variance.princ.curve

Variance of the principal curve
newSobject

newSobject
norm.vect

Compute the norm of a vector.
print.sym.data.table

Printing Symbolic Data Table
principal.axis.i

principal.axis.i
process.histogram.variable

process.histogram.variable
process.inter.cont.variable

process.inter.cont.variable
rightarrow.matrix

rightarrow.matrix
sd

Generic function for the standard desviation
sym.interval.pc.limits

Symbolic interval principal curves limits
sym.interval.pca

Interval Principal Components Analysis.
sym.lm

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

Symbolic Linear Regression for two variables.
type.symbolic

Symbolic guest type
uscrime_int

Us crime interval data table.
Cardiological

Cardiological data example
R2.L

Lower boundary correlation coefficient.
SODAS.to.RSDA

XML SODAS files to RSDA files.
StudentsGrades

Data Example.
RSDA.to.latex

RSDA.to.latex
SDS.to.RSDA

SDS SODAS files to RSDA files.
RMSE.U

Upper boundary root-mean-square error
R2.U

Upper boundary correlation coefficient.
RMSE.L

Lower boundary root-mean-square error