R programming has gained importance in different fields due its flexibility, rich packages, platform independent characteristics, data analysis & data visualization capabilities and building various models like machine learning models. It facilitates the incorporation of codes of other languages such as C, C++ and Java in its programming environment.
R programming is an open source platform which is developed by Ross Ihaka and Robert Gentleman from University of Auckland during the year 1991. It is a modified version of S language developed during 1976 by Bell Laboratories in USA. Currently the development process is being handled by the R core development team.
The book starts with the basic concepts such as vectors, objects, factors, data frames, lists, reading data and writing data files, conditions, controls, functions and handling database connections.
Book covers the R Programming rich graphical and data visualization tools, and web applications.
Statistical concepts such as Descriptive, Inferential, and regression models are also covered. It also includes Machine Learning models such as classification and clustering models.
Editor IJSMI,
International Journal of Statistics and Medical Informatics
R programming has gained importance in different fields due its flexibility, rich packages, platform independent characteristics, data analysis & data visualization capabilities and building various models like machine learning models. It facilitates the incorporation of codes of other languages such as C, C++ and Java in its programming environment.
R programming is an open source platform which is developed by Ross Ihaka and Robert Gentleman from University of Auckland during the year 1991. It is a modified version of S language developed during 1976 by Bell Laboratories in USA. Currently the development process is being handled by the R core development team.
The book starts with the basic concepts such as vectors, objects, factors, data frames, lists, reading data and writing data files, conditions, controls, functions and handling database connections.
Book covers the R Programming rich graphical and data visualization tools, and web applications.
Statistical concepts such as Descriptive, Inferential, and regression models are also covered. It also includes Machine Learning models such as classification and clustering models.
Editor IJSMI,
International Journal of Statistics and Medical Informatics
R Programming - a Comprehensive Guide (Software)
R Programming - a Comprehensive Guide (Software)
