The open source R language enables you to build powerful statistical models to answer many of your toughest questions. R has traditionally been difficult to learn for non-statisticians, and most books on R assume too much knowledge to help. R for everyone is the solution.
Based on his unmatched experience in teaching new users, professional data scientist Jared P. Lander wrote the perfect tutorial for anyone new to programming and statistical modeling. Organized to make learning easy and intuitive, this guide focuses on the 20% of R functions required to perform 80% of modern data tasks.
Lander's standalone chapters start with the absolute basics and provide extensive practical exercises and sample code. You will download and install R; Navigate and use the R environment; Master basic program control, data import and manipulation; and go through several key tests. From that base, you then build several complete models, both linear and nonlinear, and apply some data mining techniques.
When you're done, not only will you know how to write R programs, but you'll be ready to solve the statistical problems that matter most to you.
R for Everyone PDF book author
Jared P. Lander is the owner of Lander Analytics, a New York-based statistical consulting firm, organizer of the New York Open Statistical Programming Meetup, and assistant professor of statistics at Columbia University. He is also a tour guide for Scott's Pizza Tours and a consultant for Brewla Bars, a gourmet ice cream startup. With an m.A. from Columbia University in Statistics and an .A.. from Muhlenberg College in Mathematics, he has experience in both academic research and industry. His work for organizations large and small spans politics, tech startups, fundraising, music, finance, healthcare and humanitarian relief efforts. He specializes in data management, multilevel models, machine learning, generalized linear models, visualization, data management and statistical computing.
Advanced Analytics and Graphics ebook reviews
To get the negatives out of the way, it's a shame that Addison Wesley, after investing in beautiful graphic design - the book looks so much nicer than O'Reilly's Spartan titles - hasn't offered the author similar solid editorial support that makes it a book that looks downright rushed. There are typos, cosmetic imperfections (a normal annoyance is a table too wide to fit on one page - you could customize it with a smaller font, but instead the table is split into two times more lines), some statistical errors (on pages 172 and 263), things that could have been left out, things that should have been included (oddly enough, the chapter on joins never mentions outer joins and doesn't actually explain what a join is) - and finally again and again and again still things that should have been better explained. I don't think "R for Everyone" is the best introduction to R, and I continue to support Robert Kabacoff's high quality "R in Action" in that capacity.
Where "R for Everyone" differs from "R in Action" - and to positively say where it prevails - is found in the middle R range. An important example is the coverage of "ggplot2". While "R in Action" discusses the "old school" R-Graphics, "R for Everyone" goes hand in hand with "ggplot2" and becomes the second popular book (after Winston Chang's "R Graphics Cookbook") to discuss the package. - and although his explanation of the syntax of "ggplot2" is inaccurate, the examples throughout the book make up a useful "ggplot2" gallery that actually took me over the fence. The "plyr" package, an important data manipulation aid, is another example and another non-presentation of "R in Action". Likewise "data.table". This is how "knitr" is used to generate reports. Likewise, "rcpp" is used to connect R and C ++. Likewise the formation of the R package. (You will find that the topics become more advanced. These are introductions rather than substantive explorations, but awareness is a valuable thing). In the second half of the book, as the discussion moves from R to Statistics-with-R, the author continues to find original material; statistical explanations can be brief - this is not a textbook - but examples and references to useful R utilities will be greatly appreciated.
I only have one R-Book - literally "The R Book" by Crawley - but "R for Everyone" is added; It must be a compliment. Kudos to Jared Lander for writing an original, voluminous and useful book.
UPD. It's June 2015 and the second edition of Robert Kabacoff's "R in Action" is finally out, but the changes are gradual and my support for "R for Everyone" is valid.
The book is exceptional. I was able to read the book relatively quickly and learn R very well. The author provides many records which make the instructions easy to follow.
The examples are clear, easy to follow, and they work. Most programming books have multiple errors - I read a programming book that had more than 100 errata - this book has zero errata.
The scriptures are very easy to read and the passages are based on advanced principles from the very beginning.
I met the author at an R conference and his presentation was full of attendees. He is able to make R available to non-programmers both in person and in print, and I am a much better user of R thanks to his work than him!
Top R recommendation for everyone!
R. Magallanes Quintanar
El libro de Lander is a muy buena introducción al lenguaje R. It holds an estilo sencillo y trae muchos ejemplos para poner en practica. All data if you can descargar de la red. Really es una muy buena introducción a R ya que aborda desde cuestiones simples like la lectura de datos y stadística descriptiva hasta topics mucho más avanzados like la programación en R o cálculos con estadística inferencial.stica I keep varios a persi solo de R, a single book sin duda sería éste.
I've read many other books on R, including O'Reilly's books and The Art of Programming with R, and I really think Jared has hit the mark with this one.
Using R can be a rewarding but frustrating experience. My background is software engineering, not statistics, so my approach to learning is probably a little different than that of a statistician, and this book is well written with great examples. Download this book and enjoy the world of R and data analytics.
You may think you already have enough R-books. I highly recommend this though. It contains important information on things like R Studio and provides up-to-date information
R for Everyone book summary
• Exploring the R, RStudio, and R packages
• Use R for math: variable types, vectors, call functions, and more
• Use of data structures, including data.frames, arrays and lists
• Create engaging and intuitive statistical graphs
• Writing user-defined functions
• Program flow control with if, ifelse and complex controls
• Improved program efficiency through group manipulation
• Combine and remodel multiple data sets
• Manipulating strings with R structures and regular expressions
• Creation of normal, binomial and Poisson probability distributions
• Basic statistics programming: mean, standard deviation, and t-test
• Construction of linear, generalized linear and non-linear models
• Assessment of the quality of the models and the choice of variables
• Avoidance of overfitting with Elastic Net and Bayesian methods
• Analysis of univariate and multivariate time series data
• Grouping of data using K and hierarchical clustering
• Creation of reports, presentations and websites with knitr
• Creation of reusable R packages with Devtools and Rcpp
• Participate in the global R community