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| abalone | SODAS XML data file. |
| Cardiological | Cardiological data example |
| centers.interval | Compute centers of the interval |
| cfa.scatterplot | CFA Symbolic Scatter Plot |
| classic.to.sym | Generate a symbolic data table |
| deter.coefficient | Compute the determination cosfficient |
| display.sym.table | display.sym.table |
| 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 7 |
| example7 | Data Example 7 |
| ex_cfa1 | Correspondence Analysis Example |
| ex_cfa2 | Correspondence Analysis Example |
| facedata | Face Data Example |
| generate.sym.table | Generate a Symbolic Data Table |
| interscal | Interscal Method |
| interval.dist | Interval Distance Matrix |
| interval.dist.tobj | Symbolic Objects Distance |
| int_prost_test | Linear regression model data example |
| int_prost_train | Linear regression model data example |
| lynne1 | Symbolic interval data example |
| lynne2 | Symbolic interval data example |
| neighbors.vertex | Compute neighbors vertex |
| norm.vect | Compute the norm of a vector |
| oils | Ichino Oils example data |
| predictsym.glm | Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables |
| predictsym.lm | Predict method to CM and CRM Linear regression model |
| 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 |
| SDS.to.RSDA | SDS SODAS files to RSDA files. |
| SODAS.to.RSDA | XML SODAS files to RSDA files. |
| StudentsGrades | Data Example |
| sym.cfa | Symbolic correspondence analysis |
| sym.circle.plot | Symbolic Circle of Correlations |
| sym.cor | Symbolic Correlation |
| sym.cov | Symbolic Covariance |
| sym.glm | Lasso, Ridge and and Elastic Net Linear regression model to interval variables |
| sym.hclust | Symbolic Hierarchical Clustering |
| sym.histogram.pca | Histogram Principal Components Analysis |
| 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.lm | CM and CRM Linear regression model |
| sym.lm.bi | Symbolic Linear Regression for two variables |
| sym.mds | Symbolic Multidemensional Scaling |
| sym.mean | Symbolic Mean |
| sym.median | Symbolic Median |
| sym.obj | Symbolic Object |
| sym.scatterplot | Symbolic Scatter Plot |
| sym.scatterplot.ggplot | Symbolic Scatter GGPlot |
| sym.scatterplot3d | Symbolic Scatter Plot 3D |
| sym.sd | Symbolic Standard Desviation |
| sym.var | Symbolic Variable (Feature) |
| sym.variance | Symbolic Variance |
| USCrime | Us crime classic data table |
| uscrime_int | Us crime interval data table |
| 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 |