Understanding the Concepts of Tools and Techniques for Data Analysis Using RStudio
Lalit Kumar, Vivek Tyagi · Advances in systems analysis, software engineering, and high performance computing book series · 2024
Enormous research papers are floating in the journals market to get published. But now as per the quality standards and norms of publication, some guidelines have been formulated by the prominent authorities to eradicate the pandemic issue of plagiarism. Moreover, it has also been considered whether genuine or licensed software has been utilized to analyze the research data or not. Hence, it is the time to explore some avenues so that mass researchers can be benefitted. R-software, designed by Robert Gentleman and Ross Ihaka from R core team, and R Studio, an open-source integrated development environment (IDE) for R, founded by J.J. Allaire, have emerged as the best platforms for the upcoming researchers which are not bounded with any constraints of licensing. In this article, few packages of R- Software, their significance and implementation have been discussed and summarized. Furthermore some data analysis techniques like t-test, linear regression technique, etc. have also been illustrated using R Studio.