All the calculations and analyses were conducted using the free SAS software (version 9.3, SAS Institute Inc., Cary, NC, USA). A tutorial on the use of SAS for fitting DPC models was provided by Neher et al. (1997) in the first edition of Exercises in Plant Disease Epidemiology and later by Jesus Junior et al. (2004) and Madden et al. (2007) in the chapters on temporal analysis of epidemics in Epidemiologia aplicada ao manejo de doenas de plantas (Vale et al. 2004) and Study of Plant Disease Epidemics (Madden et al. 2007), respectively. A tutorial with examples of R codes for calculating AUDPCs, performing comparisons, and fitting models using regression analysis was provided by Sparks et al. (2008) and has been incorporated in this article.
Open access publication of the peer-reviewed literature in F&ST is funded by the Lundbeck Foundation. Open access publication of the peer-reviewed literature in Plant Disease is also funded by the Lundbeck Foundation, but the articles published in Plant Disease are free to access and are available as both the PDF and HTML versions of the journal. The Lundbeck Foundation, which funded the development of the dataset, does not have any role in the selection of papers for the dataset and the interpretation of the data. This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited and the use is non-commercial.
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One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc