# Histogram-Valued Data Analysis

## Documentation for package ‘HistDAWass’ version 0.1.4

- DESCRIPTION file.

## Help Pages

A B C D G H I K M O P R S T W misc

HistDAWass-package | Histogram-Valued Data Analysis

## -- A --

Age_Pyramids_2014 | Age pyramids of all the countries of the World in 2014
Agronomique | Agronomique data

## -- B --

BLOOD | Blood dataset for Histogram data analysis
BloodBRITO | Blood dataset from Brito P. for Histogram data analysis

## -- C --

Center.cell.MatH | Method Center.cell.MatH Centers all the cells of a matrix of distributions
Center.cell.MatH-method | Method Center.cell.MatH Centers all the cells of a matrix of distributions
checkEmptyBins | Method 'checkEmptyBins'
checkEmptyBins-method | Method 'checkEmptyBins'
China_Month | A monthly climatic dataset of China
China_Seas | A seasonal climatic dataset of China
compP | Method 'compP'
compP-method | Method 'compP'
compQ | Method 'compQ'
compQ-method | Method 'compQ'
crwtransform | Method 'crwtransform': returns the centers and the radii of bins of a distribution
crwtransform-method | Method 'crwtransform': returns the centers and the radii of bins of a distribution

## -- D --

data2hist | From real data to distributionH.
distributionH | Class distributionH.
distributionH-class | Class distributionH.
dotpW | Method 'dotpW'
dotpW-method | Method 'dotpW'
DouglasPeucker | Ramer-Douglas-Peucker algorithm for curve fitting with a PolyLine

## -- G --

get.distr | Method 'get.distr': show the distribution
get.distr-method | Method 'get.distr': show the distribution
get.histo | Method 'get.histo': show the distribution with bins
get.histo-method | Method 'get.histo': show the distribution with bins
get.m | Method 'get.m': the mean of a distribution
get.m-method | Method 'get.m': the mean of a distribution
get.MatH.main.info | Method get.MatH.main.info
get.MatH.main.info-method | Method get.MatH.main.info
get.MatH.ncols | Method get.MatH.ncols
get.MatH.ncols-method | Method get.MatH.ncols
get.MatH.nrows | Method get.MatH.nrows
get.MatH.nrows-method | Method get.MatH.nrows
get.MatH.rownames | Method get.MatH.rownames
get.MatH.rownames-method | Method get.MatH.rownames
get.MatH.stats | Method get.MatH.stats
get.MatH.stats-method | Method get.MatH.stats
get.MatH.varnames | Method get.MatH.varnames
get.MatH.varnames-method | Method get.MatH.varnames
get.s | Method 'get.s': the standard deviation of a distribution
get.s-method | Method 'get.s': the standard deviation of a distribution

## -- H --

HistDAWass | Histogram-Valued Data Analysis
HTS | Class HTS
HTS-class | Class HTS
HTS.exponential.smoothing | Smoothing with exponential smoothing of a histogram time series
HTS.moving.averages | Smoothing with moving averages of a histogram time series
HTS.predict.knn | K-NN predictions of a histogram time series

## -- I --

initialize-method | Class HTS
initialize-method | Class MatH.
initialize-method | Class TMatH
initialize-method | Class TdistributionH
initialize-method | Class distributionH.
is.registeredMH | Method is.registeredMH
is.registeredMH-method | Method is.registeredMH

## -- K --

kurtH | Method 'kurtH': computes the kurthosis of a distribution
kurtH-method | Method 'kurtH': computes the kurthosis of a distribution

## -- M --

MatH | Class MatH.
MatH-class | Class MatH.
meanH | Method 'meanH': computes the mean of a distribution
meanH-method | Method 'meanH': computes the mean of a distribution
minus | Method -

## -- O --

OzoneFull | Full Ozone dataset for Histogram data analysis
OzoneH | Complete Ozone dataset for Histogram data analysis

## -- P --

plot-distributionH | plot for a distributionH object
plot-HTS | Method plot for a histogram time series
plot-MatH | Method plot for a matrix of histograms
plot-method | Method plot for a histogram time series
plot-method | Method plot for a matrix of histograms
plot-method | plot for a TdistributionH object
plot-method | plot for a distributionH object
plot-TdistributionH | plot for a TdistributionH object
plotPredVsObs | A function for comparing observed vs predicted histograms
plot_errors | A function for plotting functions of errors

## -- R --

register | Method 'register'
register-method | Method 'register'
registerMH | Method registerMH
registerMH-method | Method registerMH
RetHTS | A histogram-valued dataset of returns
rQQ | Method 'rQQ'
rQQ-method | Method 'rQQ'

## -- S --

ShortestDistance | Shortes distance from a point o a 2d segment
show | Method show for distributionH
show-MatH | Method show for MatH
show-method | Method show for MatH
show-method | Method show for distributionH
skewH | Method 'skewH': computes the skewness of a distribution
skewH-method | Method 'skewH': computes the skewness of a distribution
stations_coordinates | Stations coordinates of China_Month and China_Seas datasets
stdH | Method 'stdH': computes the standard deviation of a distribution
stdH-method | Method 'stdH': computes the standard deviation of a distribution
subsetHTS | Method 'subsetHTS': extract a subset of a histogram time series
subsetHTS-method | Method 'subsetHTS': extract a subset of a histogram time series

## -- T --

TdistributionH | Class TdistributionH
TdistributionH-class | Class TdistributionH
TMatH | Class TMatH
TMatH-class | Class TMatH

## -- W --

WassSqDistH | Method 'WassSqDistH'
WassSqDistH-method | Method 'WassSqDistH'
WH.1d.PCA | Principal components analysis of histogram variable based on Wasserstein distance
WH.bind | Method WH.bind
WH.bind-method | Method WH.bind
WH.bind.col | Method WH.bind.col
WH.bind.col-method | Method WH.bind.col
WH.bind.row | Method WH.bind.row
WH.bind.row-method | Method WH.bind.row
WH.correlation | Method WH.correlation
WH.correlation-method | Method WH.correlation
WH.correlation2 | Method WH.correlation2
WH.correlation2-method | Method WH.correlation2
WH.mat.prod | Method WH.mat.prod
WH.mat.prod-method | Method WH.mat.prod
WH.mat.sum | Method WH.mat.sum
WH.mat.sum-method | Method WH.mat.sum
WH.MultiplePCA | (Preliminary version) Principal components analysis of a set of histogram variable based on Wasserstein distance
WH.regression.GOF | Goodness of Fit indices for Multiple regression of histogram variables based on a two component model and L2 Wasserstein distance
WH.regression.two.components | Multiple regression analysis for histogram variables based on a two component model and L2 Wasserstein distance
WH.regression.two.components.predict | Multiple regression analysis for histogram variables based on a two component model and L2 Wasserstein distance
WH.SSQ | Method WH.SSQ
WH.SSQ-method | Method WH.SSQ
WH.SSQ2 | Method WH.SSQ2
WH.SSQ2-method | Method WH.SSQ2
WH.var.covar | Method WH.var.covar
WH.var.covar-method | Method WH.var.covar
WH.var.covar2 | Method WH.var.covar2
WH.var.covar2-method | Method WH.var.covar2
WH.vec.mean | Method WH.vec.mean
WH.vec.mean-method | Method WH.vec.mean
WH.vec.sum | Method WH.vec.sum
WH.vec.sum-method | Method WH.vec.sum
WH_2d_Adaptive_Kohonen_maps | Batch Kohonen self-organizing 2d maps using adaptive distances for histogram-valued data
WH_2d_Kohonen_maps | Batch Kohonen self-organizing 2d maps for histogram-valued data
WH_adaptive.kmeans | K-means of a dataset of histogram-valued data using adaptive Wasserstein distances
WH_adaptive_fcmeans | Fuzzy c-means with adaptive distances for histogram-valued data
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

## -- misc --

*-method | Method *
*-methods | Method *
+ | Method +
+-method | Method +
--method | Method -
[ | extract from a MatH Method [
[-method | extract from a MatH Method [