Use of ‘R’ in Statistical Analysis of Research Data
Author : Satya Narayan Yadav and Dr. Anandi Mahajan
Abstract :
The ‘R’ programming language has established itself as a foundational pillar in the domain of modern data science, specifically optimised for statistical computing and advanced graphical representation. Originating from the S language at the University of Auckland, ‘R’ has evolved into a global, open-source standard for researchers and statisticians. This paper explores the core conceptual framework of R, highlighting its interpreted nature and vectorised operations, which facilitate an efficient, iterative workflow for large-scale data manipulation.
A central focus is placed on the expansive ecosystem provided by the Comprehensive ‘R’ Archive Network (CRAN) and the transformative impact of the Tidyverse on code readability and data wrangling. Furthermore, the study examines R’s superior visualisation capabilities, ranging from publication-quality static plots to interactive web applications via the Shiny framework. Despite a significant learning curve, the language's robust community support and its efficacy in processing complex, real-world datasets render it an indispensable tool for deriving data-driven insights. This research underscores R’s dual role as both a rigorous analytical engine and a sophisticated medium for visual storytelling in academia and industry.
Keywords :
‘R’ Programming, SPSS, Statistical Computing, Data Science.
