HistDAWass (version 1.0.4)

MatH-class: Class MatH.

Description

Class MatH defines a matrix of distributionH objects

This function create a matrix of histogram data, i.e. a MatH object

Usage

# S4 method for MatH
initialize(
  .Object,
  nrows = 1,
  ncols = 1,
  ListOfDist = NULL,
  names.rows = NULL,
  names.cols = NULL,
  by.row = FALSE
)
MatH(
  x = NULL,
  nrows = 1,
  ncols = 1,
  rownames = NULL,
  varnames = NULL,
  by.row = FALSE
)

Arguments

.Object

the object type "MatH"

nrows

(optional, default=1)an integer, the number of rows.

ncols

(optional, default=1) an integer, the number of columns (aka variables).

ListOfDist

a vector or a list of distributionH objects

names.rows

a vector or list of strings with thenames of the rows

names.cols

a vector or list of strings with thenames of the columns (variables)

by.row

(optional, default=FALSE) a logical value, TRUE the matrix is row wise filled, FALSE the matrix is filled column wise.

x

(optional, default= an empty distributionH object) a list of distributionH objects

rownames

(optional, default=NULL) a list of strings containing the names of the rows.

varnames

(optional, default=NULL) a list of strings containing the names of the columns (aka variables).

Value

A matH object

References

Irpino, A., Verde, R. (2015) Basic statistics for distributional symbolic variables: a new metric-based approach Advances in Data Analysis and Classification, DOI 10.1007/s11634-014-0176-4

Examples

# NOT RUN {
##---- create a list of six distributionH objects
ListOfDist<-vector("list",6)
ListOfDist[[1]]<-distributionH(c(1,2,3),c(0, 0.4, 1))
ListOfDist[[2]]<-distributionH(c(7,8,10,15),c(0, 0.2, 0.7, 1))
ListOfDist[[3]]<-distributionH(c(9,11,20),c(0, 0.5, 1))
ListOfDist[[4]]<-distributionH(c(2,5,8),c(0, 0.3, 1))
ListOfDist[[5]]<-distributionH(c(8,10,15),c(0,  0.75, 1))
ListOfDist[[6]]<-distributionH(c(20,22,24),c(0, 0.12, 1))

## create a MatH object filling it by columns
MyMAT=new("MatH",nrows=3,ncols=2,ListOfDist=ListOfDist,
  names.rows=c("I1","I2","I3"), names.cols=c("Var1","Var2"),by.row=FALSE)

showClass("MatH")


#bulding an empty 10 by 4 matrix of histograms
MAT=MatH(nrows=10,ncols=4)
# }