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_tsne | Plot TSNE for symbolic data tables |
| 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.tsne | TSNE for symbolic data tables |
| sym.tsne.symbolic_tbl | TSNE for symbolic data tables |
| sym.umap | UMAP for symbolic data tables |
| sym.umap.symbolic_tbl | UMAP for symbolic data tables |
| 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 |