Man pages for RSDA
R to Symbolic Data Analysis
| 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 |
| calc.k | calc.k |
| calc.matrix.min | calc.matrix.min |
| calculate.quantils.RSDA | quantiles.RSDA |
| Cardiological | Cardiological data example |
| cardiologicalv2 | Cardiological data example |
| cash-.symbolic_histogram | $ operator for histograms |
| cash-.symbolic_modal | $ operator for modals |
| cash-.symbolic_set | $ operator for set |
| centers.interval | Compute centers of the interval |
| centers.interval.j | process.histogram.variable |
| cfa.CVPRealz | cfa.CVPRealz |
| cfa.Czz | cfa.Czz |
| cfa.MatrixZ | cfa.MatrixZ |
| cfa.minmax | cfa.minmax |
| cfa.minmax.new | cfa.minmax.new |
| cfa.totals | cfa.totals |
| check_quo_duplicated_names | Check duplicated names in a quo |
| classic.to.sym | Generate a symbolic data frame |
| cor | Generic function for the correlation |
| cov | Generic function for the covariance |
| data.frame.to.RSDA.inteval.table | data.frame.to.RSDA.inteval.table |
| data.frame.to.RSDA.inteval.table.j | data.frame.to.RSDA.inteval.table.j |
| deter.coefficient | Compute the determination cosfficient |
| dist.vect | Compute a distance vector |
| dist.vect.matrix | Compute the distance vector matrix |
| dot-onAttach | onAttach |
| 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 |
| extract_data | Extract data |
| extract_meta | Extract meta data |
| facedata | Face Data Example |
| fixed.pca.j.new | fixed.pca.j.new |
| 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 |
| generate.columns.interval | generate.columns.interval |
| generate.columns.multivalued | generate.columns.multivalued |
| generate.columns.set | generate.columns.set |
| generate.sym.table | generate.sym.table |
| get_cats | Extract categories |
| get.limits.PCA | Projections onto PCA |
| get.limits.PCA.indivduals | Projections onto PCA |
| get_props | Extract prop |
| get.sym.interval.limits | Interval Matrix associated to a Histogram Matrix |
| hardwoodBrito | Hard Wood Data Example |
| HistRSDAToEcdf | HistRSDAToEcdf |
| intersection.interval | generate.columns.interval |
| 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 |
| limits.histogram.disjoint.pca.variable | limits.histogram.disjoint.pca.variable |
| limits.histogram.pca | limits.histogram.pca |
| lynne1 | Symbolic interval data example. |
| map_symbolic_tbl | map function over symbolic table |
| Maxima_and_Minima | Maxima and Minima |
| mcfa.scatterplot | Plot Interval Scatterplot |
| method_summary | Summary method to CM and CRM regression model |
| neighbors.vertex | Compute neighbors vertex |
| newSobject | newSobject |
| new.sym.histogram | Create an symbolic_histogram type object |
| new.sym.intreval | Create an symbolic_interval type object |
| new.sym.modal | Create an symbolic_modal type object |
| new.sym.set | Create an symbolic_set type object |
| norm.vect | Compute the norm of a vector. |
| oils | Ichino Oils example data. |
| optim.pca.distance.j | optim.desv.fun.interval |
| optim.pca.distance.j.new | Optimized PCA Distance |
| optim.pca.variance.j | optim.pca.variance.j |
| optim.pca.variance.j.new | Optimized PCA Variance |
| pca.supplementary.vertex.fun.j | pca.supplementary.vertex.fun.j |
| pca.supplementary.vertex.fun.j.new | Calculate the distance |
| pca.supplementary.vertex.lambda.fun.j | Calculate the variance |
| Percentil.Arrow.plot | Percentil.Arrow.plot |
| pipe | Pipe operator |
| plot.symbolic_pca | Plot symbolic PCA |
| plot.symbolic_tbl | Function for plotting a symbolic object |
| plot.sym_umap | Plot UMAP for symbolic data tables |
| plotX.slice | plotX.slice |
| process.continue.variable | process.continue.variable |
| process.inter.cont.variable | process.inter.cont.variable |
| process.mult.nominal.modif.variable | process.mult.nominal.modif.variable |
| process.mult.nominal.variable | process.mult.nominal.variable |
| process.nominal.variable | process.nominal.variable |
| quantiles.RSDA | quantiles.RSDA |
| quantiles.RSDA.KS | quantiles.RSDA.KS |
| 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 |
| RSDA.to.latex | RSDA.to.latex |
| sd | 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 |
| sub-.symbolic_tbl | subset for symbolic table |
| sub-.sym.data.table | Extract or replace parts of a Symbolic Data Table |
| sym.all.quantiles.mesh3D.plot | sym.all.quantiles.mesh3D.plot |
| sym.all.quantiles.plot | sym.all.quantiles.plot |
| Symbolic_mean | Symbolic mean for intervals |
| Symbolic_median | Symbolic Median |
| sym.circle.plot | Symbolic Circle of Correlations |
| sym.continuos.plot | sym.continuos.plot |
| 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... |
| sym.histogram | Create an symbolic_histogram type object |
| sym.histogram.pca | sym.histogram.pca |
| sym.histogram.to.latex | optim.desv.fun.interval |
| sym.hist.plot | sym.hist.plot |
| sym.interval | Create an symbolic_interval type object |
| sym.Interval.distance | Compute the distance between two rows |
| sym.interval.pc | Compute a symbolic interval principal components curves |
| sym.interval.pca.limits.new.j | sym.interval.pca.limits.new.j |
| sym.interval.pc.limits | Symbolic interval principal curves limits |
| sym.interval.plot | sym.interval.plot |
| sym.interval.vertex.pca.j | sym.interval.vertex.pca.j |
| 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.modal.plot | sym.modal.plot |
| 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.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_knn_cm | Predict model_knn_cm model |
| sym.predict.symbolic_knn_crm | Predict model_knn_crm 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.radar.data | Internal sym.radar.data |
| sym.radar.plot | Internal sym.radar.plot the distence between two rows |
| sym.rf | Symbolic Regression with Random Forest |
| sym.rt | Symbolic Regression Trees |
| sym.scale.interval | sym.scale.interval |
| sym.scale.matrix.j | sym.scale.matrix.j |
| sym.scatterplot | Symbolic Scatter Plot |
| sym.set | Create an symbolic_set type object |
| sym.set.plot | sym.set.plot |
| sym.svm | Symbolic Support Vector Machines Regression |
| sym.umap | UMAP for Symbolic Data |
| sym.var | Symbolic Variable |
| tbl_subset_col | tbl_subset_col |
| to.v2 | to.v2 |
| to.v3 | to.v3 |
| USCrime | Us crime classic data table |
| uscrime_int | Us crime interval data table. |
| uscrime_intv2 | Us crime interval data table. |
| var | Symbolic Variance |
| variance.princ.curve | Variance of the principal curve |
| var.length | Extract length |
| vec_ptype_abbr.symbolic_histogram | abbr for symbolic modal |
| vec_ptype_abbr.symbolic_interval | abbr for symbolic interval |
| vec_ptype_abbr.symbolic_modal | abbr for symbolic modal |
| vec_ptype_abbr.symbolic_set | abbr for symbolic set |
| vec_ptype_full.symbolic_histogram | full name for symbolic modal |
| vec_ptype_full.symbolic_interval | full name for symbolic interval |
| vec_ptype_full.symbolic_modal | full name for symbolic set |
| vec_ptype_full.symbolic_set | full name for symbolic set |
| vertex.interval | Vertex of the intervals |
| vertex.interval.new.j | vertex.interval.new.j |
| vertex.pca.j | vertex.pca.j |
| VeterinaryData | Symbolic interval data example |
| weighted.center.Hist.RSDA | weighted.center.Hist.RSDA |
| write.sym.table | Write Symbolic Data Table |
