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

Abstract

The Importance Indice (I.I.) can determine the loss (L.S.) and solution sources (S.S.) for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021, 2024. However, the final production of the system is not always known or is difficult to determine (e.g., degraded area recovery). 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 (Demolin-Leite, 2022). This new index can help in monitoring degraded area recovery. This index and its derivations (e.g., reduction of the total n. of L.S. (R.L.S)/total n. of the S.S) were obtained using the statistical programs Biodiversity Professional program, version 2 (Krebs, 1989) -for chi-square test -and System for Analysis Statistics and Genetics, version 9.1 (UFV, 2007) -for simple regression analysis (e.g., damage)-, and also part of the calculations using an Excel datasheet (e.g., percentage of R.L.S. per S.S.). However, the transfer of information from the data obtained via the statistical programs mentioned above, 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 (Demolin-Leite and Azevedo, 2022). This study aimed to demonstrate to use of the R-Package 'IIProductionUnknown' (Demolin-Leite and Azevedo, 2022) using adapted published data (simplified) (see Demolin-Leite, 2022) about those obtained with the statistical programs mentioned above. The package is available on Cran's platform (https://cran.r-project.org/web/packages/ IIProductionUnknown/IIProductionUnknown.pdf).Percentage of Importance Index-Production Unknown (% I.I.-PU) (Demolin-Leite, 2022) is: % I.I.-PU= [(ks 1 x c 1 x ds 1 )/Σ(ks 1 x c 1 x ds 1 )+(ks 2 x c 2 x ds 2 )+(ks n x c n x ds n )] x100 (Demolin-Leite, 2022), where, i) the key source (ks) is: ks = damage (non-percentage) (Da.)/total n of the L.S. on the samples or ks = reduction of the total n. of L.S. (R.L.S)/total n. of the S.S on the samples (Demolin-Leite, 2022). Where Da. or R.L.S. = R 2x (1 -P), when it is of the first degree, or ((R 2 x (1 -P))x(β 2 /β 1 ), when it is of the second degree, where R 2 =