"Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk". Source code.

“Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk”. R-code developed to reproduce and replicate the statistical analysis. 

Article published at Communications Earth & Environment. https://doi.org/10.1038/s43247-021-00291-8 | www.nature.com/commsenv

For questions, comments or remarks about the code please contact E. Lázaro (lazaro_ele@gva.es)
Source code has been structured in 6 R scripts and the dataset (data.txt) that must be uploaded during the execution of
each one of the scripts:

• data_description.R contains the full code to reproduce and replicate Figure 1.
• data_description_supp.R contains the full code to reproduce and replicate Figures S1, S2, S3, S4 and S5.
• mi.R contains the full code to reproduce and replicate i) the meta-analysis of disease incidences under the different control strategies (MI) related models, ii) the MI model selection (Table S5) and iii) the MI effect sizes (Figures 2 and S7).
• mi_supp.R contains the full code to reproduce and replicate i) the MI model evaluation (Figures S6) and ii) the MI sensitivity analysis (Figure S11)
• mis.R the full code to reproduce and replicate i) the meta-analysis relating disease incidences to the number of sprays under the different control strategies (MIS), ii) the MIS model selection (Table S7) and iii) the MIS effect sizes (Figures 3, 4 and and S9).
• mis_supp.R contains the full code to reproduce and replicate i) the MIS model evaluation (Figures S8) and the MIS sensitivity analysis (Figure S12).
• data.txt contains the dataset that must be uploaded during the execution of each one of the scripts

Comments:

• The scripts have been created under UTF-8 encoding.
• The scripts have been executed with the R version 3.6.0 (2019-04-26); Platform: x86_64-w64-mingw32/x64 (64-bit); Running under: Windows >= 8 x64 (build 9200)
• It is recommended to execute the R scripts in the order in which they have been introduced in the present document.