LossSource {ImportanceIndice} | R Documentation |
Obtaining indices associated with sources of loss
Description
These functions allow to calculate the total n of the L.S. (n),
R.P., ks, c, ds, n.I.I., Sum.n.I.I., and percentage of I.I. (P.I.I.) by each L.S..
Equations:
n=total n per sample
k.s.= R.P./n
c = SUM of occurrence of L.S. on the samples, where, absence = 0 or presence = 1.
ds = 1 - P of the chi-square test of L.S. on the samples.
n.I.I.=ks x c x ds
Sum.n.I.I. = sum of all n.I.I.
Percentage of I.I. (P.I.I.)=(n.I.I. of each L.S./sum of all n.I.I.)*100
Usage
LossSource(DataLoss,DataProd)
Arguments
DataLoss |
It is an matrix object containing data from loss sources. |
DataProd |
Matrix with a column containing the production data. |
Value
The function returns several indices associated with the loss source.
Author(s)
Germano Leao Demolin-Leite (Instituto de Ciencias Agrarias da UFMG)
Alcinei Mistico Azevedo (Instituto de Ciencias Agrarias da UFMG)
See Also
EffectivenessOfSolution
, 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