| EffectivenessOfSolution {ImportanceIndice} | R Documentation |
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)
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 |
Value
The function returns several indices associated with the source of loss.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
LossProduction , NonAttentionLevel
Examples
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