Beginning R: The Statistical Programming Language
by Mark Gardener
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Description
Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, show more hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex s show lessTags
Recommendations
Member Reviews
Beginning R is a very good book to learn R. It does one thing and one thing very well - how to do data analysis in R. You need some mathematics and statistics background understand why you are doing ANOVA, for example, and how to interpret its results. But then again, expecting one book to do all is not realistic. The book promises to teach R and as mentioned above, it does it pretty well.
I found the chapters on ANOVA, Regression, and graphs more informative when compared with other similar books.
Most part of the book uses native functions of R. This simplifies the learning process and doesn't overwhelm the user with installation of the plethora of CRAN packages.
I think this can be your first book on R and I for sure learned a few more show more things in R. show less
I found the chapters on ANOVA, Regression, and graphs more informative when compared with other similar books.
Most part of the book uses native functions of R. This simplifies the learning process and doesn't overwhelm the user with installation of the plethora of CRAN packages.
I think this can be your first book on R and I for sure learned a few more show more things in R. show less
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Author Information
9 Works 104 Members
Mark Gardener is an ecologist, lecturer, and writer and has worked as a teacher and supervisor around the word. He runs courses in ecology, data analysis and R: the statistical programming language, for a variety of organizations.
Classifications
- Genres
- Technology, Nonfiction, General Nonfiction, Science & Nature, Business
- DDC/MDS
- 005.133 — Computer science, information & general works Computer science, knowledge & systems Artificial Intelligence/Virtual Reality Software development Computer programming Specific programming languages
- LCC
- QA276.45 .R3 .G37 — Science Mathematics Mathematics Probabilities. Mathematical statistics
- BISAC
Statistics
- Members
- 50
- Popularity
- 602,003
- Reviews
- 1
- Rating
- (4.50)
- Languages
- English
- Media
- Paper, Ebook
- ISBNs
- 6
- ASINs
- 1
