ImportanceIndice: Analyzing Data Through of Percentage of Importance Indice and Its Derivations

The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE, 2021) <http://cjascience.com/index.php/CJAS/article/view/1009/1350>. 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) <doi:10.1590/1519-6984.253215>.

Version:	0.0.2
Depends:	crayon
Published:	2022-09-13
DOI:	10.32614/CRAN.package.ImportanceIndice
Author:	Germano Leao Demolin Leite [aut], Alcinei Mistico Azevedo [aut, cre]
Maintainer:	Alcinei Mistico Azevedo <alcineimistico at hotmail.com>
License:	GPL-3
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	ImportanceIndice results

Documentation:

Reference manual:

ImportanceIndice.pdf

Downloads:

Package source:	ImportanceIndice_0.0.2.tar.gz
Windows binaries:	r-devel: ImportanceIndice_0.0.2.zip, r-release: ImportanceIndice_0.0.2.zip, r-oldrel: ImportanceIndice_0.0.2.zip
macOS binaries:	r-release (arm64): ImportanceIndice_0.0.2.tgz, r-oldrel (arm64): ImportanceIndice_0.0.2.tgz, r-release (x86_64): ImportanceIndice_0.0.2.tgz, r-oldrel (x86_64): ImportanceIndice_0.0.2.tgz
Old sources:	ImportanceIndice archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ImportanceIndice to link to this page.