Gopinath et al., (2021). grapesAgri1: Collection of Shiny Apps for Data Analysis in Agriculture. Journal of Open Source Software, 6(63), 3437, https://doi.org/10.21105/joss.03437
You can scroll below for analysis of Completely Randomized Design or One-way ANOVA in GRAPES. But we highly recommend try our advanced version of GRAPES called RAISINS. Powered by R, Python along with AI interpretations of tables. In RAISINS you can do the analysis of all variables together and get thesis/paper ready tables in a click. All possible graphs that you can draw in R and python. Also multivariate analysis capability using MANOVA and PCA along with interpretations. You can access RAISINS at www.raisins.live. Our team will provide full statistical support throughout your journey.
Me and my team will be personally available to assist you in using RAISINS . contact us at:
Whatsapp me at: Dr Pratheesh P Gopinath: +919526850087, pratheesh.pg@kau.in
Telephone contact: Mohd. Hisham: +919947599837, statistician@statoberry.com
GRAPES VERSION IS STILL AVAILABLE below, scroll down!
Curious about RAISINS? Get a sneak peek inside👉 Click here to check it out!
Prepare excel file by reading instruction below and then proceed to analysis
In this web application, you only just need to upload the Excel file in CSV format. To Prepare excel file follow the instructions below
Open a new blank excel file
Copy and paste observations into a new sheet (use only one sheet) of a new excel file
Two columns are required Treatment and Response. You can use any names for your columns
You can also add more than one response as columns
No space is allowed in the treatment name. If space is required use underscore ‘_’ or ‘.’ full stop; for example ‘Treatment name’ should be written as Treatment_name or Treatment.name
No need to add replication column, system will automatically identifies replication.
Don't type and delete anything on other cells without data. If so select those cells, right click and click clear contents
Give names to all column, Don't add any unnecessary columns that is not required for analysis
Data should be arranged towards upper left corner and row above the data should not be left blank.
Once all these are done, your file is ready. Now you have to save it as CSV file. It is very simple. Follow the instruction below.
How to save an excel file as CSV
File --> Save As --> (in the dialogue box appearing), select save as type: csv (comma delimited)
Now save your file in any name
After file preparation click on the analysis button above
Upload this file in to the application for analysis.
Your final file should look like this
How to save your excel file as csv before proceeding for analysis?
click file --> save as