R for everyone : advanced analytics and graphics / Jared P. Lander.

Format:

Book

Author/Creator:

Lander, Jared P., author.

Series:

Addison-Wesley data and analytics series.

Addison-Wesley Data and Analytics Series

Language:

English

Subjects (All):

R (Computer program language).

Scripting languages (Computer science).

Statistics--Data processing.

Statistics.

Statistics--Graphic methods--Data processing.

Computer simulation.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

Second edition.

Place of Publication:

Upper Saddle River, NJ : Addison-Wesley, [2017]

System Details:

text file

Summary:

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, Second Edition, 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, manipulation, and visualization; 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. After all this you'll make your code reproducible with LaTeX, RMarkdown, and Shiny. 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 Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R's facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with...

Contents:

Getting R

The R environment

R packages

Basics of R

Advanced data structures

Reading data into R

Statistical graphics

Writing R functions

Control statements

Loops, the Un-R way to iterate

Group manipulation

Faster group manipulation with dplyr

Iterating with purrr

Data reshaping

Reshaping data in the Tidyverse

Manipualting strings

Probability distributions

Basic statistics

Linear models

Generalized linear models

Model diagnostics

Regularization and shrinkage

Nonlinear models

Time series and autocorrelation

Clustering

Model fitting with Caret

Reproducibility and reports with knitr

Rich documents with RMarkdown

Interactive dashboards with shiny

Building R packages

Real-life resources.

Notes:

Includes indexes.

Includes bibliographical references and indexes.

Description based on online resource; title from title page (Safari, viewed July 21, 2017).

Description based on publisher supplied metadata and other sources.

ISBN:

9780134547008

0134547004

9780134546995

0134546997

OCLC:

995052687