A Step-by- Step Tutorial in R has a two-fold aim: to learn the basics of R and to acquire basic skills for programming efficiently in R. Emphasis is on converting ideas about analysing data into useful R programs. It is stressed throughout that programming starts first by getting a clear understanding of the problem. Once the problem is well formulated the next phase is to write step-by-step code for execution by the R evaluator. Although A Step-by-Step Tutorial in R is primarily intended as a course directed by an instructor, it can also be used with a little more effort as a self-teaching option. The first 11 chapters form the core and deal with management of R objects, workspaces, functions, graphics, data structures, subscripting, search paths, evaluation environments, vectorised programming, mapping functions, loops, error tracing and statistical modelling. The optional final chapters take a closer look at analysis of variance and covariance and optimization techniques.
Type of Material:
Open (Access) Textbook
Recommended Uses:
in-class, self-paced learners
Technical Requirements:
Download entire book as PDF from this site
Identify Major Learning Goals:
Upon the completion of this book, learners should be able to:
1. Describe the features of R
2. Use R to complete tasks related to statistics such as graph plotting
3. Write computer program in R for problem sovling
Target Student Population:
Undergraduate students
Prerequisite Knowledge or Skills:
Basic computer knowledge, statistics
Content Quality
Rating:
Strengths:
The content of the book is very comprehensive. It covers topics including basic R system, graph plotting, different statistical tests and models, etc. The information is very sufficient and in detail.
The book is concise and clear in general. The information is sufficient with most important topics. There are program examples for concept demonstration. It is based on a university course.
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
The objectives of each chapter are clear. There are exercise at the end of some chapters. These exercise are effective for students to learn and practise. The instructions of the examples and exercises are good. The screenshot or program output included in the book can help students to follow the examples easily.
Concerns:
Some of the chapters require certain level of statistics background.
Ease of Use for Both Students and Faculty
Rating:
Strengths:
There are exercises for user engagement.
The interface design is satisfactory.
It is easy to learn and follow.
The book is well-structured in general.
Concerns:
The organization of the book is good, but it mainly contains the description and the program outputs. Some graphical illustration may help learners to understand the concepts.
There are advertisements in the book. As it is text-based, interaction is limited.
Creative Commons:
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