Analysis of Interval DAta
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Documentation for package ‘AIDA’ version 0.1.5
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| != | Equality Comparison for intData Objects |
| !=-method | Equality Comparison for intData Objects |
| !=.intData | Equality Comparison for intData Objects |
| == | Equality Comparison for intData Objects |
| ==-method | Equality Comparison for intData Objects |
| ==.intData | Equality Comparison for intData Objects |
| angle_error | Angle Error |
| Centers | Centers Method for intData |
| Centers-method | Centers Method for intData |
| colnames-method | Column Names Method for intData |
| creditcard | Credit Card Dataset |
| dim-method | Dimensions Method for intData |
| entrecampos_air_quality | Entrecampos Air Quality Dataset |
| farness | Farness Estimation |
| frobenius_error | Relative Frobenius Error |
| get_latent_param | Compute Latent Variables Parameters |
| get_latent_var | Compute Latent Variables |
| head-method | Head Method for intData |
| IMah_dist | Interval-Mahalanobis Distance |
| IMah_dist_pairs | Interval-Mahalanobis distance for all pairs |
| IMCD | Interval-valued data Minimum Covariance Determinant (IMCD) estimation |
| intCars | Cars Dataset |
| intData | Interval Data Constructor |
| intData-class | Interval Data Class |
| int_cov | Interval-valued Covariance |
| int_cov_z | Sample Interval-valued Covariance |
| int_mean_z | Sample Mean |
| int_outliers | Outlier Detection for Interval-Valued Data Based on Robust Distances |
| KL_divergence | Kullback-Leibler (KL) Divergence |
| LatentCase | Latent Case Method for intData |
| LatentCase-method | Latent Case Method for intData |
| LatentDist | Latent Distribution Method for intData |
| LatentDist-method | Latent Distribution Method for intData |
| LatentParam | Latent Parameters Method for intData |
| LatentParam-method | Latent Parameters Method for intData |
| LogRanges | LogRanges Method for intData |
| LogRanges-method | LogRanges Method for intData |
| LowerBounds | Lower Bounds Method for intData |
| LowerBounds-method | Lower Bounds Method for intData |
| Mallows_dist | Mallows Distance |
| micro2intData | Aggregate Microdata into Interval-Valued Data |
| names-method | Variable Names Method for intData |
| NbMicroUnits | Number of Micro Units Method for intData |
| NbMicroUnits-method | Number of Micro Units Method for intData |
| ncol-method | Number of Columns Method for intData |
| nrow-method | Number of Rows Method for intData |
| plot-method | Plot Method for Two intData Objects |
| plot_dist_dist | Distance-Distance plot for interval-valued data. |
| plot_interval_dist | Interval-Mahalanobis distance plot for interval-valued data. |
| print-method | Print Method for Summary intData |
| Ranges | Ranges Method for intData |
| Ranges-method | Ranges Method for intData |
| row.names-method | Row.Names Method for intData |
| rownames-method | Row Names Method for intData |
| show-method | Show Method for intData |
| spotify_tracks | Spotify Tracks Dataset |
| summary-method | Summary Method for intData |
| summaryintData-class | Summary Interval Data Class |
| SYMB.biplot | Symbolic Biplot for Interval-valued Data |
| SYMB.pairs.panels | Pairs-plot for Interval-valued Symbolic data. |
| tail-method | Tail Method for intData |
| UpperBounds | Upper Bounds Method for intData |
| UpperBounds-method | Upper Bounds Method for intData |
| [-method | Subset an intData Object |