# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "visvaR" in publications use:' type: software license: AGPL-3.0-or-later title: 'visvaR: Shiny-Based Statistical Solutions for Agricultural Research' version: 1.0.0 doi: 10.32614/CRAN.package.visvaR abstract: Visualize Variance is an intuitive 'shiny' applications tailored for agricultural research data analysis, including one-way and two-way analysis of variance, correlation, and other essential statistical tools. Users can easily upload their datasets, perform analyses, and download the results as a well-formatted document, streamlining the process of data analysis and reporting in agricultural research.The experimental design methods are based on classical work by Fisher (1925) and Scheffe (1959). The correlation visualization approaches follow methods developed by Wei & Simko (2021) and Friendly (2002) . authors: - family-names: Ramasamy given-names: Ramesh email: ramesh.rahu96@gmail.com orcid: https://orcid.org/0000-0002-5433-1417 repository: https://rameshram96.r-universe.dev repository-code: https://github.com/rameshram96/visvaR commit: 8357c6e79f680c172d56c0163da5131526d87c2f url: https://rameshram96.github.io/visvaR/ contact: - family-names: Ramasamy given-names: Ramesh email: ramesh.rahu96@gmail.com orcid: https://orcid.org/0000-0002-5433-1417