Welcome to
GRAPES 1.0.0
(General R based Analysis Platform Empowered by Statistics)
NEWS
Introducing New app RAISINS-CRD for completely randomized design/one-way ANOVA analysis. Developed by Statoberry LLP, a student startup mentored by us.
This web-application developed by Department of Agricultural Statistics, College of Agriculture, Vellayani is based on R software which is open source and free. Here you can perform analysis without writing a single piece of code, completely using graphical user interface. The main objective of this project is to help researchers to overcome the hurdle of statistical analysis. Analysis tools presented here is subjected to rigorous tests and found fool proof for quality research output. Any suggestions are welcome and you may kindly give the feed back by scrolling down below. If you use it, please support the project by citing the web application (citation is provided below).
This project is funded by Observational Trial of Regional Agricultural Research Station, Vellayani, Kerala Agricultural University and ICAR development grant for UG and PG strengthening.
This is a data analysis tool for Agricultural research and we strongly feel that to really do something well, you have to get a lot of people involved. Kindly post your suggestions and feedback below.
OUR TEAM
Grapes Logo designed by: Arjun Mohan; Email: arjunmohanpv@gmail.com
A Product from Department of Agricultural Statistics,
College of Agriculture, Vellayani
Kerala Agricultural University
To cite the web-application 'GRAPES' in publications use:
Gopinath, P. P, Parsad, R, Joseph, B, Adarsh, V. S.,(2020). GRAPES: General Rshiny Based Analysis Platform Empowered by Statistics. https://www.kaugrapes.com/home. version 1.0.0. DOI: 10.5281/zenodo.4923220
A BibTeX entry for LaTeX users is
@Manual{,title = {GRAPES: General R-shiny Based Analysis Platform Empowered by Statistics},Author ={Pratheesh P. Gopinath, Rajender Parsad, Brigit Joseph, Adarsh V. S.}, note = {version 1.0.0},year={2020},note= {https://www.kaugrapes.com/home}, url= {https://doi.org/10.5281/zenodo.4923220},
}