IIProductionUnknown
Analyzing Data Through of Percentage of Importance Indice (Production Unknown) and Its Derivations
The Importance Index (I.I.) can determine the loss and solution sources for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can have different magnitudes (numerical measurements), frequencies, and distributions (aggregate, random, or regular) of event occurrence, and I.I. bases in this triplet (Demolin-Leite, 2021) <https://cjascience.com/index.php/CJAS/article/view/1009/1319>. Usually, the higher the magnitude and frequency of aggregated distribution, the greater the problem or the solution (e.g., natural enemies versus pests) for the system (Demolin-Leite, 2021). 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 Index-Production Unknown (% I.I.-PU) that can detect the loss or solution sources, when production is unknown for the system (Demolin-Leite, 2024) <DOI:10.1590/1519-6984.253218>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.3 |
rolling source/ R- | IIProductionUnknown_0.0.3.tar.gz |
13.5 KiB |
0.0.3 |
rolling linux/jammy R-4.5 | IIProductionUnknown_0.0.3.tar.gz |
71.8 KiB |
0.0.3 |
rolling linux/noble R-4.5 | IIProductionUnknown_0.0.3.tar.gz |
71.6 KiB |
0.0.3 |
latest source/ R- | IIProductionUnknown_0.0.3.tar.gz |
13.5 KiB |
0.0.3 |
latest linux/jammy R-4.5 | IIProductionUnknown_0.0.3.tar.gz |
71.8 KiB |
0.0.3 |
latest linux/noble R-4.5 | IIProductionUnknown_0.0.3.tar.gz |
71.6 KiB |
0.0.3 |
2026-04-26 source/ R- | IIProductionUnknown_0.0.3.tar.gz |
13.5 KiB |
0.0.3 |
2026-04-23 source/ R- | IIProductionUnknown_0.0.3.tar.gz |
13.5 KiB |
0.0.3 |
2026-04-09 windows/windows R-4.5 | IIProductionUnknown_0.0.3.zip |
76.0 KiB |
0.0.3 |
2025-04-20 source/ R- | IIProductionUnknown_0.0.3.tar.gz |
13.5 KiB |