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ImportanceIndice (version 0.0.2)

EffectivenessOfSolution: Function to estimate the effectiveness of solution sources (S.S.) by loss source (Percentage_I.I. > 0.00) in the production system.

Description

This function allows to calculate E.S. of each S.S. by L.S. (significant in the reduction of production) in the productive system. Equation: E.S. = R2 x (1 - P) when it is of the first degree, or E.S. = ((R2 x (1 - P))x(B2/B1) when it is of the second degree. Where, R2 = determination coefficient and P = significance of ANOVA, B1 = regression coefficient, and B2 = regression coefficient (variable2), of the simple regression equation of the S.S..

Usage

EffectivenessOfSolution(DataLossSource,DataSolutionSource,Production, verbose=TRUE)

Value

The function returns several indices associated with the source of loss.

Arguments

DataLossSource

It is an matrix object containing data from loss sources.

DataSolutionSource

It is an matrix object containing data from solution sources.

Production

It is a vector containing the production data.

verbose

Logical value (TRUE/FALSE). TRUE displays the results of the effectiveness of solution

Author

Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)

See Also

LossProduction , NonAttentionLevel

Examples

Run this code
library(ImportanceIndice)
data("DataLossSource")
data("DataSolutionSource")
data("DataProduction")
data("DataNumberSamples")

Distribution_LossSource(DataLossSource)
Distribution_SolutionSource(DataSolutionSource)

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LS<-LossSource(DataLoss = DataLossSource,DataProd = DataProduction)
LS

LP<-LossProduction(Data=DataLossSource,Prod = DataProduction,
                  Evaluation=DataNumberSamples,
                  SegurityMargen=0.75,MaximumToleranceOfLossFruits=1)
LP

ES<-EffectivenessOfSolution(DataLossSource=DataLossSource,
                           DataSolutionSource=DataSolutionSource,Production=DataProduction)
ES

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