A C D E F G I L M N O P R S U V W misc
| 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 | 
| calc.burt.sym | Burt Matrix | 
| 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 | 
| deter.coefficient | Compute the determination cosfficient | 
| dist.vect | Compute a distance vector | 
| dist.vect.matrix | Compute the distance vector matrix | 
| 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 | 
| 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 | 
| get_cats | Extract categories | 
| get_props | Extract prop | 
| interval.centers | calcula centros | 
| interval.histogram.plot | Histogram plot for an interval variable | 
| 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 | 
| lynne1 | Symbolic interval data example. | 
| 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 | 
| neighbors.vertex | Compute neighbors vertex | 
| norm.vect | Compute the norm of a vector. | 
| oils | Ichino Oils example data. | 
| olils | Ichino Oils example data. | 
| plot.symbolic_tbl | Function for plotting a symbolic object | 
| plot.sym_umap | Plot UMAP for symbolic data tables | 
| 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 | 
| 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. | 
| 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.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.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.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 | 
| USCrime | Us crime classic data table | 
| uscrime_int | Us crime interval data table. | 
| uscrime_intv2 | Us crime interval data table. | 
| 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 | 
| write.sym.table | Write Symbolic Data Table | 
| $.symbolic_histogram | $ operator for histograms | 
| $.symbolic_interval | Maxima and Minima | 
| $.symbolic_modal | $ operator for modals | 
| $.symbolic_set | $ operator for set |