Other packages > Find by keyword >

ImportanceIndice  

Analyzing Data Through of Percentage of Importance Indice and Its Derivations
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
[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 18 Sep. 2026.
Previous versions and publish date:
0.0.1 (2022-04-08 10:32), (2026-07-09 08:07)
Other packages that cited ImportanceIndice R package
View ImportanceIndice citation profile
Other R packages that ImportanceIndice depends, imports, suggests or enhances
Complete documentation for ImportanceIndice
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA