Introductory Textbook of R Programmers for Statistical Analysis

Description

Statistics being a science is concerned with dealing multiple numbers at a time using various methods, one of them is programing language R. This language offers more functions for data analysis than any other statistical tools. It is a language which is basically for environmental statistics and displays systems to acquire information out of given indexes. This particular book “Introductory Textbook of R Programers for Statistical Analysis” provides a clear and deepened forward knowledge about the implementation of R programing language. R is an almost perfect and compact initial course which focuses on recent advances in computational statistics and provides easy to use materials like t-tests, chi-squared tests and many more. A large community of dedicated R users and programers provides an excellent R code, functions and data sets, with a constantly evolving ecosystem. It is the most prevalent, effective and free programing language and used by multiple analytics-driven organizations like Google and Facebook. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.