View source: R/SolutionSource.R
SolutionSource | R Documentation |
Function to estimate the total n of the S.S. (n), E.S., ks, c, ds, n.I.I., Sum.n.I.I., and percentage of I.I. (P.I.I.) by each S.S..
SolutionSource(SolutionData,Production,EffectivenessOfSolution,Id,Verbose=TRUE)
SolutionData |
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. |
Production |
Matrix or data frame with a column containing the damage or defoliation data. |
EffectivenessOfSolution |
Output generated by the function 'EffectivenessOfSolution' |
Id |
Logical vector indicating the lines of the 'EffectivenessOfSolution' that are relevant. Output generated by the function SelectEffectivenessOfSolution |
Verbose |
Logical value (TRUE/FALSE). TRUE displays the results of the analysis. |
The function returns the Percentage of Importance Index-Production Unknown and estimates of variables used in its construction.
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
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)
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