II Production Unknown: a R package for application of the percentage of importance indice-production unknown

The Importance Indice (I.I.) can determine the loss and solution sources for a system in certain knowledge areas, when production is known. However, the final production of the system is not always known or is difficult to determine. A derivation of the I.I. is the percentage of Importance Indice-Pr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Brazilian journal of biology 2023, Vol.83, p.e269680-4
Hauptverfasser: Demolin-Leite, G L, Azevedo, A M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The Importance Indice (I.I.) can determine the loss and solution sources for a system in certain knowledge areas, when production is known. However, the final production of the system is not always known or is difficult to determine. A derivation of the I.I. is the percentage of Importance Indice-Production Unknown (% I.I.-PU) that can detect the loss or solution sources when production is unknown for the system. This new index can help in monitoring degraded area recovery. This index and its derivations were obtained using the statistical programs Biodiversity Professional program, version 2--for chi-square test--and System for Analysis Statistics and Genetics, version 9.1--for simple regression analysis, and also part of the calculations using an Excel datasheet. However, the transfer of information from the data obtained via the statistical programs, as well as the calculations performed using the Excel datasheet, in addition to being labor intensive, could incur mathematical errors due to the volume of equations and data. For this purpose, a package and its manual were developed, via the R program, to perform the statistics and calculations necessary to obtain the %I.I.P.U. and its derivations. Here, Demolin-Leite and Azevedo demonstrate to use of the R-Package 'IIProductionUnknown' using adapted published data.
ISSN:1519-6984
1678-4375
DOI:10.1590/1519-6984.269680