Abalone

AbaDF

AbUnits

AbaloneIdt

<p>A interval-valued data set containing 24 units, created from from the Abalone dataset (UCI Machine Learning Repository), after aggregating by sex and age.</p>

datasets

interval data

Implements methodologies for modelling interval data by Normal
and Skew-Normal distributions, considering appropriate parameterizations of
the variance-covariance matrix that takes into account the intrinsic nature of
interval data, and lead to four different possible configuration structures.
The Skew-Normal parameters can be estimated by maximum likelihood, while Normal
parameters may be estimated by maximum likelihood or robust trimmed maximum
likelihood methods.

Antonio Duarte Silva

MAINT.Data

Model and Analyse Interval Data

Abalone function

<p>AbdaDF: A data frame containing the original 4177 Abalone inidividuals, decribed by 7 variables.
       AbUnits: A factor with 4177 observations and 24 levels indicating the sex by age combination to which each orginal individual belongs to.
       AbaloneIdt: An IData object with 24 observations and 7 interval-valued variables, describing the intervals formed by agregating the AbdaDF microdata by the AbUnits factor.</p>

Format

Abalone Data Set — Abalone

Abalone Data Set

Abalone: Abalone Data Set

Description

Usage

Arguments

Format