A C D E F G H I L M N O P Q 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 |
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 |
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.limits.PCA | Projections onto PCA |
get.limits.PCA.indivduals | Projections onto PCA |
get_cats | Extract categories |
get_props | Extract prop |
hardwoodBrito | Hard Wood Data Example |
HistRSDAToEcdf | HistRSDAToEcdf |
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 |
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. |
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 |
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 |
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 |
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 |
weighted.center.Hist.RSDA | weighted.center.Hist.RSDA |
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 |