grapesAgri1: Collection of Shiny Apps for Data Analysis in Agriculture
Pratheesh P. Gopinath, Rajender Parsad, Brigit Joseph, S. Adarsh
Abstract
Agricultural experiments demand a wide range of statistical tools for analysis, which includes exploratory analysis, design of experiments, and statistical genetics. It is a challenge for scientists and students to find a suitable platform for data analysis and publish the research outputs in quality journals. Most of the software available for data analysis are proprietary or lack a simple user interface, for example SAS is available in ICAR (Indian Council of Agricultural Research) for data analysis, though it is a highly advanced statistical analysis platform, and its complexity holds back students and researchers from using it. Some web applications like WASP (https://ccari.res.in/waspnew.html) and OPSTAT (http://14.139. 232.166/opstat/) used by the agricultural research community are user friendly but these applications don't provide options to generate plots and graphs.