Description
Shiny-Based Statistical Solutions for Agricultural Research.
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>.
README.md
visvaR - Visualize Variance
It is a user-friendly tool to do the statistical analysis of agricultural research data like ANOVA, correlation, etc. (This package is in the developmental stage, we strongly encourage feedback from the users to improve the package) Package developed by Ramesh R PhD Scholar, Division of Plant Physiology ICAR-IARI, New Delhi [email protected]{.email}
Installation
You can install the development version of visvaR from GitHub using the following command:
install.packages("devtools")
devtools::install_github("rameshram96/visvaR")
Example usage
library(visvaR)
visvaR:::oneway_crd() # one factor completely randomized design
visvaR:::oneway_rbd() # one factor randomized block design
visvaR:::twoway_crd() # two factor completely randomized design
visvaR:::twoway_rbd() # two factor randomized block design
visvaR:::correlation_multi() # Correlation of multiple variables
Running any of this code will open a application in your browser, where you can paste or import your data, after analysing the data you can download the results as a word file.
Using custom fonts inside the pacakge
Make sure that system fonts are imported properly and loaded
install.packages("extrafont")
library(extrafont)
extrafont::font_import()
extrafont::loadfonts()
