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ImportanceIndice
View on CRAN: Click
here
Download and install ImportanceIndice package within the R console
Install from CRAN:
install.packages("ImportanceIndice")
Install from Github:
library("remotes")
install_github("cran/ImportanceIndice") Install by package version:
library("remotes")
install_version("ImportanceIndice", "0.0.2") Attach the package and use:
library("ImportanceIndice")
Maintained by
Alcinei Mistico Azevedo
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-08
Latest Update: 2022-09-13
Description:
The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE, 2021) . This index can detect the key loss sources (L.S) and solution sources (S.S.), classifying them according to their importance in terms of loss or income gain, on the productive system. The Percentage_I.I. = [(ks1 x c1 x ds1)/SUM (ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)] x 100. key source (ks) is obtained using simple regression analysis and magnitude (abundance). Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence = 0 or presence = 1), and distribution source (ds) is obtained using chi-square test. This index has derivations: i.e., i) Loss estimates and solutions effectiveness and ii) Attention and non-attention levels (DEMOLIN-LEITE,2024) .
How to cite:
Alcinei Mistico Azevedo (2022). ImportanceIndice: Analyzing Data Through of Percentage of Importance Indice and Its Derivations. R package version 0.0.2, https://cran.r-project.org/web/packages/ImportanceIndice. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.0.1 (2022-04-08 10:32)
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Complete documentation for ImportanceIndice
Functions, R codes and Examples using
the ImportanceIndice R package
Some associated functions: DataLossSource . DataNumberSamples . DataProduction . DataSolutionSource . Distribution_LossSource . Distribution_SolutionSource . EffectivenessOfSolution . ImportanceIndice-package . LossProduction . LossSource . NonAttentionLevel . SelectEffectivenessOfSolution . SolutionSource .
Some associated R codes: DataLossSource.R . DataNumberSamples.R . DataProduction.R . DataSolutionSource.R . Distribution_LossSource.R . Distribution_SolutionSource.R . EffectivenessOfSolution.R . ImportanceIndice-package.R . LossProduction.R . LossSource.R . NonAttentionLevel.R . SelectEffectivenessOfSolution.R . SolutionSource.R . zzz.R . Full ImportanceIndice package functions and examples
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