HistDAWass: Histogram-Valued Data Analysis

In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., a Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series.

AuthorAntonio Irpino [aut, cre]
Date of publication2016-01-12 22:21:47
MaintainerAntonio Irpino <antonio.irpino@unina2.it>
LicenseGPL (>= 2)
Version0.1.4

View on CRAN

Man pages

Age_Pyramids_2014: Age pyramids of all the countries of the World in 2014

Agronomique: Agronomique data

BLOOD: Blood dataset for Histogram data analysis

BloodBRITO: Blood dataset from Brito P. for Histogram data analysis

Center.cell.MatH-methods: Method Center.cell.MatH Centers all the cells of a matrix of...

checkEmptyBins-methods: Method 'checkEmptyBins'

China_Month: A monthly climatic dataset of China

China_Seas: A seasonal climatic dataset of China

compP-methods: Method 'compP'

compQ-methods: Method 'compQ'

crwtransform-methods: Method 'crwtransform': returns the centers and the radii of...

data2hist: From real data to distributionH.

distributionH-class: Class distributionH.

dotpW-methods: Method 'dotpW'

DouglasPeucker: Ramer-Douglas-Peucker algorithm for curve fitting with a...

extract-methods: extract from a MatH Method [

get.distr-methods: Method 'get.distr': show the distribution

get.histo-methods: Method 'get.histo': show the distribution with bins

get.MatH.main.info-methods: Method get.MatH.main.info

get.MatH.ncols-methods: Method get.MatH.ncols

get.MatH.nrows-methods: Method get.MatH.nrows

get.MatH.rownames-methods: Method get.MatH.rownames

get.MatH.stats-methods: Method get.MatH.stats

get.MatH.varnames-methods: Method get.MatH.varnames

get.m-methods: Method 'get.m': the mean of a distribution

get.s-methods: Method 'get.s': the standard deviation of a distribution

HistDAWass-package: Histogram-Valued Data Analysis

HTS-class: Class HTS

HTS.exponential.smoothing: Smoothing with exponential smoothing of a histogram time...

HTS.moving.averages: Smoothing with moving averages of a histogram time series

HTS.predict.knn: K-NN predictions of a histogram time series

is.registeredMH-methods: Method is.registeredMH

kurtH-methods: Method 'kurtH': computes the kurthosis of a distribution

MatH-class: Class MatH.

meanH-methods: Method 'meanH': computes the mean of a distribution

minus: Method -

OzoneFull: Full Ozone dataset for Histogram data analysis

OzoneH: Complete Ozone dataset for Histogram data analysis

plot-distributionH: plot for a distributionH object

plot_errors: A function for plotting functions of errors

plot-HTS: Method plot for a histogram time series

plot-MatH: Method plot for a matrix of histograms

plotPredVsObs: A function for comparing observed vs predicted histograms

plot-TdistributionH: plot for a TdistributionH object

plus-methods: Method +

register-methods: Method 'register'

registerMH-methods: Method registerMH

RetHTS: A histogram-valued dataset of returns

rQQ-methods: Method 'rQQ'

ShortestDistance: Shortes distance from a point o a 2d segment

show-distributionH-methods: Method show for distributionH

show-MatH-methods: Method show for MatH

skewH-methods: Method 'skewH': computes the skewness of a distribution

stations_coordinates: Stations coordinates of China_Month and China_Seas datasets

stdH-methods: Method 'stdH': computes the standard deviation of a...

subsetHTS-methods: Method 'subsetHTS': extract a subset of a histogram time...

TdistributionH-class: Class TdistributionH

times-methods: Method *

TMatH-class: Class TMatH

WassSqDistH-methods: Method 'WassSqDistH'

WH.1d.PCA: Principal components analysis of histogram variable based on...

WH_2d_Adaptive_Kohonen_maps: Batch Kohonen self-organizing 2d maps using adaptive...

WH_2d_Kohonen_maps: Batch Kohonen self-organizing 2d maps for histogram-valued...

WH_adaptive_fcmeans: Fuzzy c-means with adaptive distances for histogram-valued...

WH_adaptive.kmeans: K-means of a dataset of histogram-valued data using adaptive...

WH.bind.col-methods: Method WH.bind.col

WH.bind-methods: Method WH.bind

WH.bind.row-methods: Method WH.bind.row

WH.correlation2-methods: Method WH.correlation2

WH.correlation-methods: Method WH.correlation

WH_fcmeans: Fuzzy c-means of a dataset of histogram-valued data

WH_hclust: Hierarchical clustering of histogram data

WH_kmeans: K-means of a dataset of histogram-valued data

WH.mat.prod-methods: Method WH.mat.prod

WH.mat.sum-methods: Method WH.mat.sum

WH.MultiplePCA: (Preliminary version) Principal components analysis of a set...

WH.regression.GOF: Goodness of Fit indices for Multiple regression of histogram...

WH.regression.two.components: Multiple regression analysis for histogram variables based on...

WH.regression.two.components.predict: Multiple regression analysis for histogram variables based on...

WH.SSQ2-methods: Method WH.SSQ2

WH.SSQ-methods: Method WH.SSQ

WH.var.covar2-methods: Method WH.var.covar2

WH.var.covar-methods: Method WH.var.covar

WH.vec.mean-methods: Method WH.vec.mean

WH.vec.sum-methods: Method WH.vec.sum

Files in this package

HistDAWass
HistDAWass/NAMESPACE
HistDAWass/data
HistDAWass/data/HData.RData
HistDAWass/R
HistDAWass/R/Utility.R HistDAWass/R/H_time_series.R HistDAWass/R/Met_HTS.R HistDAWass/R/regression.R HistDAWass/R/unsuperv_classification.R HistDAWass/R/Kohonen_maps.R HistDAWass/R/All_classes.R HistDAWass/R/Fuzzy_cmeans.R HistDAWass/R/Plotting_with_ggplot.R HistDAWass/R/principal_components.R HistDAWass/R/Met_distributionH.R HistDAWass/R/HistDAWass-package.R HistDAWass/R/Met_MatH.R
HistDAWass/README.md
HistDAWass/MD5
HistDAWass/DESCRIPTION
HistDAWass/man
HistDAWass/man/get.MatH.varnames-methods.Rd HistDAWass/man/get.MatH.rownames-methods.Rd HistDAWass/man/meanH-methods.Rd HistDAWass/man/get.histo-methods.Rd HistDAWass/man/stdH-methods.Rd HistDAWass/man/MatH-class.Rd HistDAWass/man/distributionH-class.Rd HistDAWass/man/minus.Rd HistDAWass/man/get.s-methods.Rd HistDAWass/man/get.m-methods.Rd HistDAWass/man/WH.var.covar2-methods.Rd HistDAWass/man/is.registeredMH-methods.Rd HistDAWass/man/TMatH-class.Rd HistDAWass/man/WH.mat.prod-methods.Rd HistDAWass/man/show-MatH-methods.Rd HistDAWass/man/kurtH-methods.Rd HistDAWass/man/WH.1d.PCA.Rd HistDAWass/man/Agronomique.Rd HistDAWass/man/China_Seas.Rd HistDAWass/man/WH.var.covar-methods.Rd HistDAWass/man/get.MatH.nrows-methods.Rd HistDAWass/man/WH.vec.mean-methods.Rd HistDAWass/man/WH.SSQ-methods.Rd HistDAWass/man/HTS.predict.knn.Rd HistDAWass/man/plot-distributionH.Rd HistDAWass/man/times-methods.Rd HistDAWass/man/OzoneH.Rd HistDAWass/man/WH.vec.sum-methods.Rd HistDAWass/man/ShortestDistance.Rd HistDAWass/man/rQQ-methods.Rd HistDAWass/man/WH.correlation2-methods.Rd HistDAWass/man/subsetHTS-methods.Rd HistDAWass/man/WH_adaptive_fcmeans.Rd HistDAWass/man/China_Month.Rd HistDAWass/man/plot-TdistributionH.Rd HistDAWass/man/plus-methods.Rd HistDAWass/man/OzoneFull.Rd HistDAWass/man/extract-methods.Rd HistDAWass/man/HistDAWass-package.Rd HistDAWass/man/WH_hclust.Rd HistDAWass/man/get.MatH.stats-methods.Rd HistDAWass/man/TdistributionH-class.Rd HistDAWass/man/DouglasPeucker.Rd HistDAWass/man/WH_kmeans.Rd HistDAWass/man/HTS-class.Rd HistDAWass/man/skewH-methods.Rd HistDAWass/man/WH.MultiplePCA.Rd HistDAWass/man/WH_2d_Kohonen_maps.Rd HistDAWass/man/compP-methods.Rd HistDAWass/man/get.MatH.ncols-methods.Rd HistDAWass/man/WH.regression.GOF.Rd HistDAWass/man/WH_2d_Adaptive_Kohonen_maps.Rd HistDAWass/man/WH.SSQ2-methods.Rd HistDAWass/man/HTS.exponential.smoothing.Rd HistDAWass/man/get.MatH.main.info-methods.Rd HistDAWass/man/plotPredVsObs.Rd HistDAWass/man/WH.mat.sum-methods.Rd HistDAWass/man/checkEmptyBins-methods.Rd HistDAWass/man/plot-MatH.Rd HistDAWass/man/dotpW-methods.Rd HistDAWass/man/data2hist.Rd HistDAWass/man/registerMH-methods.Rd HistDAWass/man/get.distr-methods.Rd HistDAWass/man/WH.bind-methods.Rd HistDAWass/man/show-distributionH-methods.Rd HistDAWass/man/WH.correlation-methods.Rd HistDAWass/man/compQ-methods.Rd HistDAWass/man/Center.cell.MatH-methods.Rd HistDAWass/man/WH.regression.two.components.predict.Rd HistDAWass/man/WH.bind.col-methods.Rd HistDAWass/man/WH.bind.row-methods.Rd HistDAWass/man/BLOOD.Rd HistDAWass/man/WH.regression.two.components.Rd HistDAWass/man/crwtransform-methods.Rd HistDAWass/man/WassSqDistH-methods.Rd HistDAWass/man/BloodBRITO.Rd HistDAWass/man/plot_errors.Rd HistDAWass/man/WH_adaptive.kmeans.Rd HistDAWass/man/WH_fcmeans.Rd HistDAWass/man/HTS.moving.averages.Rd HistDAWass/man/stations_coordinates.Rd HistDAWass/man/RetHTS.Rd HistDAWass/man/Age_Pyramids_2014.Rd HistDAWass/man/register-methods.Rd HistDAWass/man/plot-HTS.Rd

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