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R for Everyone: Advanced Analytics and Graphics / Edition 1
     

R for Everyone: Advanced Analytics and Graphics / Edition 1

5.0 1
by Jared P. Lander
 

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ISBN-10: 0321888030

ISBN-13: 9780321888037

Pub. Date: 01/02/2014

Publisher: Addison-Wesley

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals

Using 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 non-statisticians to learn, and most R books assume far too much knowledge to be

Overview

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals

Using 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 non-statisticians 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 you’ll need to accomplish 80 percent of modern data tasks.

Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll 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, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques.

By the time you’re done, you won’t just know how to write R programs, you’ll 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 user-defined functions

• Controlling program flow with if, ifelse, and complex checks

• Improving program efficiency with group manipulations

• Combining and reshaping multiple datasets

• Manipulating strings using R’s facilities and regular expressions

• Creating normal, binomial, and Poisson probability distributions

• Programming basic statistics: mean, standard deviation, and t-tests

• 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 K-means 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

Product Details

ISBN-13:
9780321888037
Publisher:
Addison-Wesley
Publication date:
01/02/2014
Series:
Addison-Wesley Data and Analytics Series
Pages:
464
Sales rank:
215,977
Product dimensions:
7.00(w) x 9.00(h) x 0.70(d)

Related Subjects

Table of Contents

1. Introduction

2. Getting R

3. The R Environment

4. Basics

5. Reading Data

6. Plotting

7. Functions

8. Control Statements

9. Loops

10. String Manipulation

11. Manipulating Data

12. Basics

13. Non-Parametric

14. Modeling

15. Model Diagnostics a. Residuals

16. Regularization

17. Clustering

18. Sweave

19. Building Your Own Package

20. Resources

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R for Everyone: Advanced Analytics and Graphics 5 out of 5 based on 0 ratings. 1 reviews.
Carl_Sutton More than 1 year ago
I have developed an interest in data science and had never heard of R. Was taking a data science course on Coursera on R and was just frustrated. Found this book and absolutely love it. Going from not even knowing the language existed to using it was only possible because of this book. My prior programming experience was in Fortran and Basic back in the 60's and 70's. Things have changed a bit since then. I actually write the code from the book mainly to get the syntax correct (and get comfortable with it) and use Git to store them all. Hands on experience with a book that has few errors and great examples has worked wonders for me. If you are a newby like me, this is a GREAT book. The more I use it the more impressed I am with it. The references in the index for subject, or for R functions is thorough and accurate and saves a lot of time when needed. For example, I think maybe the aggregate function will do what I want, but wait, was there a function in Plyr that was better? In minutes you can be reviewing these functions and KNOW which is the one to use. When writing R code, this book is beside the keyboard because it is indispensable. One look at my copy and you would know this book is used extensively. The other R book I have looks brand new because it is way to advanced for me at my level and thus not used and not relevant at this time.. Carl Sutton, CPA/former Aerospace Engineer