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Robert Stinerock provides a much-needed, easy-to-follow introduction to statistics and the R programming language. Any reader wishing to master and implement the statistical methods needed to derive meaning from data in today’s challenging information-rich environment will benefit from this insightful, exciting, and profoundly useful text.
The ability to code, analyze, and derive insights from vast amounts of data are critical skills in today’s world of big data. This well-written book provides an excellent introduction to statistics and R programming language.
The book provides an excellent guide to statistics and the R programming language for beginners. Its wide range is exceptional to meet readers' needs in the era of big data and data science being the future. Brilliant!
The real added value is in the extensive use of R coding examples to illustrate and apply the principles in each section. For example, after a comprehensive description of simple linear regression modelling and some useful illustrative cases, the reader is provided with the code required to apply the technique to a real data set in R.
The content is well structured and starts ‘right from the scratch’ which is especially useful for students getting into touch with R for the first time. Explicitly listing and explaining commands makes it easy to directly implement what has been learned. Furthermore, the summaries at the end of each chapter make achievement control easy and exercises further consolidate the acquired knowledge. Additionally, the statistical basis for the R commands is also explained in an illustrative yet scientifically suitable way.
It's very easy to read and allows a complete beginner to find their way through the process of R programming. A very much needed book.