Introduction to R
R (http://www.r-project.org/) is an open source software - a well organized and sophisticated package - that facilitates data analysis, modelling, inferential testing and forecasting. It is a user friendly software which allows to create new function commands to solve statistical problems. It runs on a variety of UNIX platforms (and similar systems such as LINUX), Windows and Mac OS.
R is the most preferred open-source language for analytics and data science. At Microsoft, R is used by its data scientists, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing, and Finance departments. Twitter has been using R for measuring user-experience. On the other hand, the cross-platform compatibility of R and its capacity to handle large and complex data sets make it an ideal tool for academicians to analyze data in their labs.
R can be used for simple calculations, matrix calculations, differential equations, optimisation, statistical analysis, plotting graphs, etc. Also, it is useful to anybody who wishes to undertake extensive statistical computations and data visualization.
The spoken tutorials (ST) for R series was initially created by Prof. Kannan Moudgalya, IIT Bombay. Later, the domain expert for this series was Prof. Radhendushka Srivastava, Maths Dept. IIT Bombay. Content for this series was contributed by FOSSEE Fellows 2018 Shaik Sameer and Varshit Dubey and the tutorials were recorded by Sudhakar Kumar, M.Tech student IIT Bombay. Overall coordination for the series was done by Smita Wangikar from FOSSEE project, IIT Bombay. Madhuri Ganapati and Vidhya Iyer from Spoken Tutorial project, IIT Bombay, were the reviewers from ST end.
Learners: High School and UG/PG CSE/CS/IT students and anyone who wishes to learn basic statistical data analysis.