Histogram-Valued Data Analysis
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Documentation for package ‘HistDAWass’ version 1.0.9
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A B C D E G H I K M O P R S T W misc
| HistDAWass-package | HistDAWass: Histogram-Valued Data Analysis |
-- A --
| Age_Pyramids_2014 | Age pyramids of the countries of the World in 2014 |
| Agronomique | Agronomique data |
| Arith-distributionH | Arithmetic operators for histograms |
-- B --
| BLOOD | Blood data |
| BloodBRITO | Blood data from Brito |
-- C --
| Center.cell.MatH | Centre the histograms of a matrix |
| Center.cell.MatH-method | Centre the histograms of a matrix |
| checkEmptyBins | Fix the empty bins of histograms |
| checkEmptyBins-method | Fix the empty bins of histograms |
| China_Month | Monthly climatic data of China |
| China_Seas | Seasonal climatic data of China |
| compP | Cumulative distribution function of a histogram at a value |
| compP-method | Cumulative distribution function of a histogram at a value |
| compQ | Quantile of a histogram |
| compQ-method | Quantile of a histogram |
| crwtransform | Centres, radii and weights of the bins of a histogram |
| crwtransform-method | Centres, radii and weights of the bins of a histogram |
-- D --
| data2hist | Build a histogram from raw data |
| distributionH | Histogram objects: the distributionH class |
| distributionH-class | Histogram objects: the distributionH class |
| dotpW | Dot product of two histograms |
| dotpW-method | Dot product of two histograms |
| DouglasPeucker | Ramer-Douglas-Peucker algorithm |
-- E --
| extract-MatH | Extract a sub-matrix of histograms |
-- G --
| get.cell.MatH | Get or set a cell of a matrix of histograms |
| get.cell.MatH-method | Get or set a cell of a matrix of histograms |
| get.distr | Cumulative distribution function of a histogram |
| get.distr-method | Cumulative distribution function of a histogram |
| get.histo | Bins of a histogram |
| get.histo-method | Bins of a histogram |
| get.m | Mean of a histogram (stored value) |
| get.m-method | Mean of a histogram (stored value) |
| get.MatH.main.info | Dimensions and names of a matrix of histograms |
| get.MatH.main.info-method | Dimensions and names of a matrix of histograms |
| get.MatH.ncols | Dimensions and names of a matrix of histograms |
| get.MatH.ncols-method | Dimensions and names of a matrix of histograms |
| get.MatH.nrows | Dimensions and names of a matrix of histograms |
| get.MatH.nrows-method | Dimensions and names of a matrix of histograms |
| get.MatH.rownames | Dimensions and names of a matrix of histograms |
| get.MatH.rownames-method | Dimensions and names of a matrix of histograms |
| get.MatH.stats | Statistics of the histograms of a matrix |
| get.MatH.stats-method | Statistics of the histograms of a matrix |
| get.MatH.varnames | Dimensions and names of a matrix of histograms |
| get.MatH.varnames-method | Dimensions and names of a matrix of histograms |
| get.s | Standard deviation of a histogram (stored value) |
| get.s-method | Standard deviation of a histogram (stored value) |
-- H --
| HistDAWass | HistDAWass: Histogram-Valued Data Analysis |
| HTS-class | Histogram time series: the HTS class |
| HTS.exponential.smoothing | Exponential smoothing of a histogram time series |
| HTS.moving.averages | Moving averages of a histogram time series |
| HTS.predict.knn | K-NN forecast of a histogram time series |
-- I --
| initialize-method | Histogram time series: the HTS class |
| initialize-method | Matrices of histograms: the MatH class |
| initialize-method | Matrices of histograms with a time reference: the TMatH class |
| initialize-method | Histograms with a time reference: the TdistributionH class |
| initialize-method | Histogram objects: the distributionH class |
| is.registeredMH | Register the histograms of a matrix on a common cdf |
| is.registeredMH-method | Register the histograms of a matrix on a common cdf |
-- K --
| kurtH | Kurtosis of a histogram |
| kurtH-method | Kurtosis of a histogram |
-- M --
| MatH | Matrices of histograms: the MatH class |
| MatH-class | Matrices of histograms: the MatH class |
| meanH | Mean of a histogram |
| meanH-method | Mean of a histogram |
-- O --
| OzoneFull | Ozone data (stations without missing data) |
| OzoneH | Ozone data (all the stations) |
-- P --
| plot-distributionH | Plot a histogram |
| plot-HTS | Plot a histogram time series |
| plot-MatH | Plot a matrix of histograms |
| plot-method | Plot a histogram time series |
| plot-method | Plot a matrix of histograms |
| plot-method | Plot a histogram with a time reference |
| plot-method | Plot a histogram |
| plot-TdistributionH | Plot a histogram with a time reference |
| plotPredVsObs | Plot observed versus predicted histograms |
| plot_errors | Plot the errors of predicted histograms |
-- R --
| register | Register two histograms on a common cdf |
| register-method | Register two histograms on a common cdf |
| registerMH | Register the histograms of a matrix on a common cdf |
| registerMH-method | Register the histograms of a matrix on a common cdf |
| RetHTS | Histogram time series of returns |
| rQQ | Correlation between the quantile functions of two histograms |
| rQQ-method | Correlation between the quantile functions of two histograms |
-- S --
| set.cell.MatH | Get or set a cell of a matrix of histograms |
| set.cell.MatH-method | Get or set a cell of a matrix of histograms |
| ShortestDistance | Distance between a point and a line |
| show-distributionH | Print a histogram |
| show-MatH | Print a matrix of histograms |
| show-method | Print a matrix of histograms |
| show-method | Print a histogram |
| skewH | Skewness of a histogram |
| skewH-method | Skewness of a histogram |
| stations_coordinates | Coordinates of the stations of the China datasets |
| stdH | Standard deviation of a histogram |
| stdH-method | Standard deviation of a histogram |
| subsetHTS | Subset of a histogram time series |
| subsetHTS-method | Subset of a histogram time series |
| summaryHTS | Summary statistics of a histogram time series |
-- T --
| TdistributionH-class | Histograms with a time reference: the TdistributionH class |
| TMatH-class | Matrices of histograms with a time reference: the TMatH class |
-- W --
| WassSqDistH | Squared L2 Wasserstein distance between two histograms |
| WassSqDistH-method | Squared L2 Wasserstein distance between two histograms |
| WH.1d.PCA | Principal component analysis of a histogram variable |
| WH.bind | Bind matrices of histograms |
| WH.bind-method | Bind matrices of histograms |
| WH.bind.col | Bind matrices of histograms |
| WH.bind.col-method | Bind matrices of histograms |
| WH.bind.row | Bind matrices of histograms |
| WH.bind.row-method | Bind matrices of histograms |
| WH.correlation | Sum of squares, covariance and correlation of histogram variables |
| WH.correlation-method | Sum of squares, covariance and correlation of histogram variables |
| WH.correlation2 | Sum of squares, covariance and correlation of histogram variables |
| WH.correlation2-method | Sum of squares, covariance and correlation of histogram variables |
| WH.mat.prod | Product of two matrices of histograms |
| WH.mat.prod-method | Product of two matrices of histograms |
| WH.mat.sum | Sum of two matrices of histograms |
| WH.mat.sum-method | Sum of two matrices of histograms |
| WH.MultiplePCA | Principal component analysis of a set of histogram variables |
| WH.plot_multiple_indivs | Plot the histograms of the individuals on a factorial plane |
| WH.plot_multiple_Spanish.funs | Plot the variables of a PCA of histogram variables (Spanish-fan plot) |
| WH.regression.GOF | Goodness of fit of a two-component regression of histogram variables |
| WH.regression.two.components | Two-component regression of histogram variables |
| WH.regression.two.components.predict | Predictions of a two-component regression of histogram variables |
| WH.SSQ | Sum of squares, covariance and correlation of histogram variables |
| WH.SSQ-method | Sum of squares, covariance and correlation of histogram variables |
| WH.SSQ2 | Sum of squares, covariance and correlation of histogram variables |
| WH.SSQ2-method | Sum of squares, covariance and correlation of histogram variables |
| WH.var.covar | Sum of squares, covariance and correlation of histogram variables |
| WH.var.covar-method | Sum of squares, covariance and correlation of histogram variables |
| WH.var.covar2 | Sum of squares, covariance and correlation of histogram variables |
| WH.var.covar2-method | Sum of squares, covariance and correlation of histogram variables |
| WH.vec.mean | Weighted sum and mean of the histograms of a matrix |
| WH.vec.mean-method | Weighted sum and mean of the histograms of a matrix |
| WH.vec.sum | Weighted sum and mean of the histograms of a matrix |
| WH.vec.sum-method | Weighted sum and mean of the histograms of a matrix |
| WH_2d_Adaptive_Kohonen_maps | Batch Kohonen self-organising maps of histogram data with adaptive distances |
| WH_2d_Kohonen_maps | Batch Kohonen self-organising maps of histogram data |
| WH_adaptive.kmeans | K-means clustering of histogram data with adaptive distances |
| WH_adaptive_fcmeans | Fuzzy c-means clustering of histogram data with adaptive distances |
| WH_fcmeans | Fuzzy c-means clustering of histogram data |
| WH_hclust | Hierarchical clustering of histogram data |
| WH_kmeans | K-means clustering of histogram data |
| WH_MAT_DIST | L2 Wasserstein distance matrix |
-- misc --
| *-method | Arithmetic operators for histograms |
| +-method | Arithmetic operators for histograms |
| --method | Arithmetic operators for histograms |
| [-method | Extract a sub-matrix of histograms |