# R to Symbolic Data Analysis

## Documentation for package ‘RSDA’ version 3.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A C D E F G H I L M N O P Q R S U V W misc

## -- A --

abalone | SODAS XML data file.
as.data.frame.symbolic_histogram | a data.frame
as.data.frame.symbolic_interval | convertir a data.frame
as.data.frame.symbolic_modal | Extract values
as.data.frame.symbolic_set | convertir a data.frame

## -- C --

calc.burt.sym | Burt Matrix
calculate.quantils.RSDA | quantiles.RSDA
Cardiological | Cardiological data example
cardiologicalv2 | Cardiological data example
centers.interval | Compute centers of the interval
classic.to.sym | Generate a symbolic data frame
cor | Generic function for the correlation
cor.default | Generic function for the correlation
cor.symbolic_interval | Generic function for the correlation
cor.symbolic_tbl | Generic function for the correlation
cov | Generic function for the covariance
cov.default | Generic function for the covariance
cov.symbolic_interval | Generic function for the covariance
cov.symbolic_tbl | Generic function for the covariance

## -- D --

deter.coefficient | Compute the determination cosfficient
dist.vect | Compute a distance vector
dist.vect.matrix | Compute the distance vector matrix

## -- E --

ex1_db2so | Data example to generate symbolic objets
example1 | Data Example 1
example2 | Data Example 2
example3 | Data Example 3
example4 | Data Example 4
example5 | Data Example 5
example6 | Data Example 6
example7 | Data Example 7
ex_cfa1 | Correspondence Analysis Example
ex_cfa2 | Correspondence Analysis Example
ex_mcfa1 | Multiple Correspondence Analysis Example
ex_mcfa2 | Multiple Correspondence Analysis Example

## -- F --

facedata | Face Data Example
format.symbolic_histogram | Symbolic modal conversion functions to and from Character
format.symbolic_interval | Symbolic interval conversion functions to and from Character
format.symbolic_modal | Symbolic modal conversion functions to and from Character
format.symbolic_set | Symbolic set conversion functions to and from Character

## -- G --

get.limits.PCA | Projections onto PCA
get.limits.PCA.indivduals | Projections onto PCA
get_cats | Extract categories
get_props | Extract prop

## -- H --

hardwoodBrito | Hard Wood Data Example
HistRSDAToEcdf | HistRSDAToEcdf

## -- I --

interval.centers | calcula centros
interval.histogram.plot | Histogram plot for an interval variable
interval.large | Calculate the large of each interval
interval.length | Lenght for interval
interval.max | calcula maximos
interval.min | calcula minimos
interval.ranges | calcula rangos
int_prost_test | Linear regression model data example.
int_prost_train | Linear regression model data example.
is.sym.histogram | Symbolic histogram
is.sym.interval | Symbolic interval
is.sym.modal | Symbolic modal
is.sym.set | Symbolic set

## -- L --

lynne1 | Symbolic interval data example.

## -- M --

max.symbolic_interval | Maxima and Minima
mcfa.scatterplot | Plot Interval Scatterplot
mean.symbolic_interval | Symbolic mean for intervals
mean.symbolic_tbl | Symbolic mean for intervals
median.symbolic_interval | Symbolic Median
median.symbolic_tbl | Symbolic Median
method_summary | Summary method to CM and CRM regression model
min.symbolic_interval | Maxima and Minima

## -- N --

neighbors.vertex | Compute neighbors vertex
norm.vect | Compute the norm of a vector.

## -- O --

oils | Ichino Oils example data.
olils | Ichino Oils example data.

## -- P --

pca.supplementary.vertex.fun.j.new | Calculate the distance
Percentil.Arrow.plot | Percentil.Arrow.plot
plot.symbolic_tbl | Function for plotting a symbolic object
plot.sym_umap | Plot UMAP for symbolic data tables

## -- Q --

quantiles.RSDA | quantiles.RSDA
quantiles.RSDA.KS | quantiles.RSDA.KS

## -- R --

R2.L | Lower boundary correlation coefficient.
R2.U | Upper boundary correlation coefficient.
read.sym.table | Read a Symbolic Table
RMSE.L | Lower boundary root-mean-square error
RMSE.U | Upper boundary root-mean-square error
RSDA | R to Symbolic Data Analysis

## -- S --

sd | Generic function for the standard desviation
sd.default | Generic function for the standard desviation
sd.symbolic_interval | Generic function for the standard desviation
sd.symbolic_tbl | Generic function for the standard desviation
SDS.to.RSDA | SDS SODAS files to RSDA files.
SODAS.to.RSDA | XML SODAS files to RSDA files.
stand.data | Standardized Intervals
sym.all.quantiles.mesh3D.plot | sym.all.quantiles.mesh3D.plot
sym.all.quantiles.plot | sym.all.quantiles.plot
sym.circle.plot | Symbolic Circle of Correlations
sym.dist.interval | Distance for Symbolic Interval Variables.
sym.gbm | Generalized Boosted Symbolic Regression
sym.glm | Lasso, Ridge and and Elastic Net Linear regression model to interval variables
sym.histogram | Create an symbolic_histogram type object
sym.histogram.pca | sym.histogram.pca
sym.interval | Create an symbolic_interval type object
sym.interval.pc | Compute a symbolic interval principal components curves
sym.interval.pc.limits | Symbolic interval principal curves limits
sym.interval.pca | Interval Principal Components Analysis.
sym.kmeans | Symbolic k-Means
sym.knn | Symbolic k-Nearest Neighbor Regression
sym.lm | CM and CRM Linear regression model.
sym.mcfa | sym.mcfa
sym.modal | Create an symbolic_modal type object
sym.nnet | Symbolic neural networks regression
sym.pca | Interval Principal Components Analysis.
Sym.PCA.Hist.PCA.k.plot | Sym.PCA.Hist.PCA.k.plot
sym.pca.symbolic_tbl | Interval Principal Components Analysis.
sym.predict | Predict method to CM and CRM regression model
sym.predict.symbolic_gbm_cm | Predict model_gbm_cm model
sym.predict.symbolic_gbm_crm | Predict model_gbm_crm model
sym.predict.symbolic_glm_cm | Predict method to CM and CRM regression model
sym.predict.symbolic_glm_crm | Predict method to CM and CRM regression model
sym.predict.symbolic_knn_cm | Predict model_knn_cm model
sym.predict.symbolic_knn_crm | Predict model_knn_crm model
sym.predict.symbolic_lm_cm | Predict method to CM and CRM regression model
sym.predict.symbolic_lm_crm | Predict method to CM and CRM regression model
sym.predict.symbolic_nnet_cm | Predict nnet_cm model
sym.predict.symbolic_nnet_crm | Predict nnet_crm model
sym.predict.symbolic_rf_cm | Predict rf_cm model
sym.predict.symbolic_rf_crm | Predict rf_crm model
sym.predict.symbolic_rt_cm | Predict rt_cm model
sym.predict.symbolic_rt_crm | Predict rt_crm model
sym.predict.symbolic_svm_cm | Predict model_svm_cm model
sym.predict.symbolic_svm_crm | Predict model_svm_crm model
sym.quantiles.PCA.plot | sym.quantiles.PCA.plot
sym.rf | Symbolic Regression with Random Forest
sym.rt | Symbolic Regression Trees
sym.scatterplot | Symbolic Scatter Plot
sym.set | Create an symbolic_set type object
sym.svm | Symbolic Support Vector Machines Regression
sym.umap | UMAP for Symbolic Data
sym.umap.symbolic_tbl | UMAP for Symbolic Data
sym.var | Symbolic Variable

## -- U --

USCrime | Us crime classic data table
uscrime_int | Us crime interval data table.
uscrime_intv2 | Us crime interval data table.

## -- V --

var | Symbolic Variance
var.default | Symbolic Variance
var.symbolic_interval | Symbolic Variance
var.symbolic_tbl | Symbolic Variance
variance.princ.curve | Variance of the principal curve
vertex.interval | Vertex of the intervals
VeterinaryData | Symbolic interval data example

## -- W --

weighted.center.Hist.RSDA | weighted.center.Hist.RSDA
write.sym.table | Write Symbolic Data Table

## -- misc --

$.symbolic_histogram | $ operator for histograms
$.symbolic_interval | Maxima and Minima
$.symbolic_modal | $ operator for modals
$.symbolic_set | $ operator for set