rangeMA: rangeMA **<beta>**

Description Usage Arguments References Examples

Description

This function classifies all observation related to its degree of pertinence based on the dataset harmonic deviation. Observation will be classified as:

High (observations above 2 harmonic deviations)

Low (observations below 2 harmonic deviations)

Moderate (observations on the range between 1 and 2 harmonic deviations)

Regular (observations on the range between one harmonic.deviation)

Usage

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rangeMA(a, m)

Arguments

a

vector of Ability values

m

vector of Motivation values

plot

if TRUE a visual information about the data classification will be displayed.

References

Marcus Guimaraes <guimaraesmvf@gmail.com>

Examples

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rangeMA(aValues, mValues, plot=TRUE)
rangeMA(abilityVector, axis.Motivation(n=100, full.estimate=T), plot=T)
rangeMA(abil, motiv)

Guimaraesmvf/fbmR documentation built on May 6, 2019, 9:44 p.m.