SelectEffectivenessOfSolution {IIProductionUnknown} | R Documentation |
Determine the pair by pair effects that are important for the analysis.
Description
Selects, pair by pair, the effect of S.S. on L.S.
Usage
SelectEffectivenessOfSolution(EffectivenessOfSolution)
Arguments
EffectivenessOfSolution |
Output generated by the function 'EffectivenessOfSolution' |
Value
Returns a vector with logical values demonstrating the interactions considered important for the analysis.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution
, SolutionSource
, LossSource
Examples
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)
EOS
#Put: y and y
# ID=SelectEffectivenessOfSolution(EOS)
ID<-c(FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,
FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE)
ResultSolutionSource<-SolutionSource(SolutionData =DataSolutionSource,Production =DataResult,
EffectivenessOfSolution =EOS ,Id = ID,Verbose = TRUE )
ResultSolutionSource
# Put: y,n,y,n,y,n and y
# ReductionAbundance(ResultSolutionSource,ResultLossSource,
# EffectivenessOfSolution=EOS)
###################################################
EOSDamage<-EffectivenessOfSolution(DataLossSource =DataDamage,
DataSolutionSource =DataSolutionSource,
ResultLossSource = NULL)
EOSDamage
# Put: y, n and y
#ReductionDamage(ResultSolutionSource,LossSource=DataDamage,
# EffectivenessOfSolution=EOSDamage)
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)
EOS
#Put: y and y
# ID<-SelectEffectivenessOfSolution(EOS)
ID<-c(FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,
FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE)
ResultSolutionSource<-SolutionSource(SolutionData =DataSolutionSource,Production =DataResult,
EffectivenessOfSolution =EOS ,Id = ID,Verbose = TRUE )
ResultSolutionSource
# Put: y,n,y,n,y,n and y
# ReductionAbundance(ResultSolutionSource,ResultLossSource,
# EffectivenessOfSolution=EOS)
###################################################
EOSDamage<-EffectivenessOfSolution(DataLossSource =DataDamage,
DataSolutionSource =DataSolutionSource,
ResultLossSource = NULL)
EOSDamage
# Put: y, n and y
#ReductionDamage(ResultSolutionSource,LossSource=DataDamage,
# EffectivenessOfSolution=EOSDamage)
[Package IIProductionUnknown version 0.0.3 Index]