Title
R for Everyone: Advanced Analytics and Graphics (AddisonWesley Data and Analytics),Used
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Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other ProfessionalsUsing the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for nonstatisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution.Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality youll need to accomplish 80 percent of modern data tasks.Landers selfcontained chapters start with the absolute basics, offering extensive handson practice and sample code. Youll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, youll construct several complete models, both linear and nonlinear, and use some data mining techniques.By the time youre done, you wont just know how to write R programs, youll be ready to tackle the statistical problems you care about most.COVERAGE INCLUDES Exploring R, RStudio, and R packages Using R for math: variable types, vectors, calling functions, and more Exploiting data structures, including data.frames, matrices, and lists Creating attractive, intuitive statistical graphics Writing userdefined functions Controlling program flow with if, ifelse, and complex checks Improving program efficiency with group manipulations Combining and reshaping multiple datasets Manipulating strings using Rs facilities and regular expressions Creating normal, binomial, and Poisson probability distributions Programming basic statistics: mean, standard deviation, and ttests Building linear, generalized linear, and nonlinear models Assessing the quality of models and variable selection Preventing overfitting, using the Elastic Net and Bayesian methods Analyzing univariate and multivariate time series data Grouping data via Kmeans and hierarchical clustering Preparing reports, slideshows, and web pages with knitr Building reusable R packages with devtools and Rcpp Getting involved with the R global community
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- Q: What is the main focus of 'R for Everyone: Advanced Analytics and Graphics'? A: The book focuses on teaching the R programming language to beginners, particularly non-statisticians, emphasizing the essential functionalities needed for modern data tasks.
- Q: Who is the author of this book? A: The author is Jared P. Lander, a professional data scientist with extensive experience in teaching statistical programming.
- Q: What topics are covered in this book? A: Topics include exploring R and RStudio, data structures, statistical graphics, user-defined functions, and building linear and nonlinear models, among others.
- Q: Is this book suitable for beginners? A: Yes, it is designed specifically for beginners and assumes no prior knowledge of statistics or programming.
- Q: What is the edition and publication date of this book? A: This is the first edition of the book, published on January 1, 2013.
- Q: How many pages does 'R for Everyone' have? A: The book contains a total of 432 pages.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: What condition is the book in? A: The book is listed as 'New'.
- Q: Can this book help in learning data visualization techniques? A: Yes, it covers creating attractive and intuitive statistical graphics using R.
- Q: Does the book provide practical exercises? A: Yes, it includes extensive hands-on practice and sample code to help reinforce learning.