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Other literature type . 2025
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY NC ND
Data sources: Datacite
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RAISINS: Integrating R and AI for Agricultural Data Analysis

Authors: Hisham M, Mohammed; Chandran, Jithin; Gopinath, Pratheesh P;

RAISINS: Integrating R and AI for Agricultural Data Analysis

Abstract

RAISINS (R and AI Solutions for INferential Statistics) is a web-based statistical analysis platform designed to bridge the gap between complex inferential methods and the practical needs of students and researchers, particularly in the agricultural sciences. By integrating the computational power of R and Python with the adaptive capabilities of OpenAI’s artificial intelligence APIs, RAISINS delivers an intuitive, code-free interface for performing advanced statistical analyses. Hosted on Posit Connect Cloud, the platform eliminates the need for local software installation, enabling seamless, browser-based access to a wide range of statistical tools. RAISINS simplifies model building, result interpretation, and reporting, making it especially valuable for non-statisticians and early-career researchers seeking reliable insights from agricultural data. View at: https://www.jostapubs.com/volume1/issue1/josta111raisins2025.html 

Related Organizations
Keywords

Data Analysis, Agriculture Research, Design of Experiments, OpenAI, R, Social Sciences, Statistical Genetics, Python

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average