ISDA.R-package: Intervaled Symbolic Data Analysis for R

In ISDA.R: interval symbolic data analysis for R

Description

Describes a set of operations for symbolic data type based on interval-valued. The operations are processing of punctuals variables to interval variables, construction of a 3D graphic interval, linear regression interval and interval descriptive statistics such as mean, median, variance, standard deviation and mode.

Details

Package:	ISDA-R
Type:	Package
Version:	1.0
Date:	2011-06-04
License:	GPL-2
LazyLoad:	yes

It's important to read the interval() function documentation because this function serves as the base for almost all the other functions.

Author(s)

Ricardo Jorge de Almeida Queiroz Filho <[e-mail]>, Roberta Andrade de Araujo Fagundes <[e-mail]>

Maintainer: Ricardo Jorge de Almeida Queiroz Filho <[e-mail]>

References

Billard, L., Diday, E. Symbolic Data Analysis: Conceptual Statistics and Data Mining, Wiley, West Sussex, England (2006). E. Diday and M. Noirhomme-Fraiture, Symbolic Data Analysis and the SODAS Software, John Wesley Sons, ltd, (2008).

Examples

##defining a interval data set note: intervals [1.3;2.5],[2.4;5.2]...[2.1,5.6]
xmin = c(1.3,2.4,3.5,2.5,2.1)
xmax = c(2.5,5.2,6.3,5.2,5.6)
intervalTemp =interval(xmin,xmax)

##get some information about these intervals
summary(intervalTemp) 

Example output

Loading required package: scatterplot3d
  mean variance standard_deviance   median
1 3.66   1.5564          1.247558 2.644561

ISDA.R documentation built on May 31, 2017, 5:18 a.m.