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visvaR  

Shiny-Based Statistical Solutions for Agricultural Research
View on CRAN: Click here


Download and install visvaR package within the R console
Install from CRAN:
install.packages("visvaR")

Install from Github:
library("remotes")
install_github("cran/visvaR")

Install by package version:
library("remotes")
install_version("visvaR", "1.0.0")



Attach the package and use:
library("visvaR")
Maintained by
Ramesh Ramasamy
[Scholar Profile | Author Map]
All associated links for this package
Description:
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) <doi:10.1198/000313002533>.
How to cite:
Ramesh Ramasamy (). visvaR: Shiny-Based Statistical Solutions for Agricultural Research. R package version 1.0.0, https://cran.r-project.org/web/packages/visvaR. Accessed 21 Nov. 2024.
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