EffectivenessOfSolution {IIProductionUnknown} | R Documentation |
This function allows to calculate E.S. of each S.S. by L.S. (significant in the reduction of defoliation or damage) in the 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..
EffectivenessOfSolution (DataLossSource,DataSolutionSource,ResultLossSource, verbose=TRUE)
DataLossSource |
It is a data frame or matrix object containing data from loss sources. Sources of loss refers to the number of individuals per observation that cause damage to the system. |
DataSolutionSource |
It is a data frame or matrix object containing data from solution sources. Solution sources refers to the number of individuals per observation that cause a reduction in the sources of loss in the system. |
ResultLossSource |
Output of LossSource function. |
verbose |
Logical value (TRUE/FALSE). TRUE displays the results of the effectiveness of solution |
The function returns the indices associated with the effectiveness of solution source in relation to the loss source, considering the coefficients obtained in the regression analyses.
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
ReductionDamage
, SolutionSource
data("DataLossSource")
ChisqTest_Distribution(DataLossSource)
data("DataSolutionSource")
ChisqTest_Distribution(DataSolutionSource)
data("DataDefoliation")
data("DataDamage")
DataResult=cbind(DataDefoliation,DataDamage$D.L.S.2,DataDefoliation,
DataDamage$D.L.S.4,DataDefoliation)
ResultLossSource=LossSource(DataLoss = DataLossSource,DataResult =DataResult,
Cols<-c(1,3,5),verbose=TRUE)
EOS<-EffectivenessOfSolution(DataLossSource =DataLossSource,
DataSolutionSource =DataSolutionSource,
ResultLossSource = ResultLossSource)