Discrete Distribution Data Analysis with Wasserstein Distance
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Documentation for package ‘DDAWASS’ version 1.0.0
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| *-method | Arithmetic on discrete distributions |
| +-method | Arithmetic on discrete distributions |
| --method | Arithmetic on discrete distributions |
| Arith-distributionD | Arithmetic on discrete distributions |
| compP-method | Quantiles and cdf of a discrete distribution |
| compQ-distributionD | Quantiles and cdf of a discrete distribution |
| compQ-method | Quantiles and cdf of a discrete distribution |
| data2MatD | Build a MatD from raw (micro) data |
| distributionD | Constructor of a discrete distribution |
| distributionD-class | Class distributionD |
| dotpD | Inner product of quantile functions |
| get.cell.MatD | Accessors of a MatD object |
| get.MatD.ncols | Accessors of a MatD object |
| get.MatD.nrows | Accessors of a MatD object |
| get.MatD.rownames | Accessors of a MatD object |
| get.MatD.stats | Statistics of the distributions in a MatD |
| get.MatD.varnames | Accessors of a MatD object |
| kurtD | Basic statistics of a discrete distribution |
| kurtD-method | Basic statistics of a discrete distribution |
| long2MatD | Build a MatD from a long frequency table |
| MatD | Constructor of a matrix of discrete distributions |
| MatD-accessors | Accessors of a MatD object |
| MatD-class | Class MatD |
| MatD2long | Convert a MatD into a long data.frame |
| MatD2tibble | Convert legacy nested tibbles into a MatD (and back) |
| MatH2MatD | Discretize a matrix of histograms (MatH) into a MatD |
| meanD | Basic statistics of a discrete distribution |
| meanD-method | Basic statistics of a discrete distribution |
| plot-method | Plot a MatD |
| plot-method | Plot a discrete distribution |
| rQQ-distributionD | Quantile-quantile correlation of two discrete distributions |
| rQQ-method | Quantile-quantile correlation of two discrete distributions |
| Satisfaction | Simulated hotel satisfaction survey |
| Satisfaction_raw | Simulated hotel satisfaction survey |
| set.cell.MatD | Accessors of a MatD object |
| simplifyD | Project discrete distributions on a fixed support |
| skewD | Basic statistics of a discrete distribution |
| skewD-method | Basic statistics of a discrete distribution |
| statsD | Basic statistics of a discrete distribution |
| stdD | Basic statistics of a discrete distribution |
| stdD-method | Basic statistics of a discrete distribution |
| tibble2MatD | Convert legacy nested tibbles into a MatD (and back) |
| varD | Basic statistics of a discrete distribution |
| varD-method | Basic statistics of a discrete distribution |
| WassSqDistD | L2 Wasserstein distance between discrete distributions |
| WassSqDistD-method | L2 Wasserstein distance between discrete distributions |
| WD.1d.PCA | Principal component analysis of a single discrete distributional variable |
| WD.bind | Bind MatD objects by rows or by columns |
| WD.bind.col | Bind MatD objects by rows or by columns |
| WD.bind.row | Bind MatD objects by rows or by columns |
| WD.correlation | Wasserstein variance-covariance and correlation matrices |
| WD.cronbach | Cronbach's alpha for discrete distributional variables |
| WD.MultiplePCA | Multiple factor analysis of discrete distributional variables |
| WD.plot.Spanish.fan | Spanish-fan plot of a quantile PCA |
| WD.quantile.matrix | Matrix of quantiles of a MatD |
| WD.regression.GOF | Goodness of fit indices for distributional regression |
| WD.regression.two.components | Two-component regression of discrete distributional variables |
| WD.regression.two.components.predict | Predictions of the two-component regression |
| WD.SSQ | Total sum of squares of a discrete distributional variable |
| WD.var.covar | Wasserstein variance-covariance and correlation matrices |
| WD.vec.mean | Barycenter (Frechet mean) of discrete distributional variables |
| WD.vec.mean.simplified | Barycenter expressed on the original support values |
| WD_hclust | Hierarchical clustering of discrete distributional data |
| WD_kmeans | K-means clustering of discrete distributional data |
| WD_MAT_DIST | Matrix of L2 Wasserstein distances between the rows of a MatD |
| [-method | Extract a sub-matrix of a MatD |