{"product_id":"r-for-everyone-advanced-analytics-and-graphics-addison-wesley-data-analytics-series","title":"R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data \u0026 Analytics Series)","description":"\u003cp\u003e\u003cstrong\u003eBook info:\u003c\/strong\u003e R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data \u0026amp; Analytics Series) (Paperback, 560 pages) – Addison-Wesley Professional, 2017. Language: English.\u003c\/p\u003e\n \u003cp\u003eUsing 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDrawing 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBy 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eCoverage Includes:\u003c\/p\u003e\u003cul\u003e\u003c\/ul\u003e\u003cul\u003e\n\u003cli\u003e Exploring R, RStudio, and R packages \u003c\/li\u003e\n\u003cli\u003e Using R for math: variable types, vectors, calling functions, and more \u003c\/li\u003e\n\u003cli\u003e Exploiting data structures, including data.frames, matrices, and lists \u003c\/li\u003e\n\u003cli\u003e Creating attractive, intuitive statistical graphics \u003c\/li\u003e\n\u003cli\u003e Writing user-defined functions \u003c\/li\u003e\n\u003cli\u003e Controlling program flow with if, ifelse, and complex checks \u003c\/li\u003e\n\u003cli\u003e Improving program efficiency with group manipulations \u003c\/li\u003e\n\u003cli\u003e Combining and reshaping multiple datasets \u003c\/li\u003e\n\u003cli\u003e Manipulating strings using R’s facilities and regular expressions \u003c\/li\u003e\n\u003cli\u003e Creating normal, binomial, and Poisson probability distributions \u003c\/li\u003e\n\u003cli\u003e Programming basic statistics: mean, standard deviation, and t-tests \u003c\/li\u003e\n\u003cli\u003e Building linear, generalized linear, and nonlinear models \u003c\/li\u003e\n\u003cli\u003e Assessing the quality of models and variable selection \u003c\/li\u003e\n\u003cli\u003e Preventing overfitting, using the Elastic Net and Bayesian methods \u003c\/li\u003e\n\u003cli\u003e Analyzing univariate and multivariate time series data \u003c\/li\u003e\n\u003cli\u003e Grouping data via K-means and hierarchical clustering \u003c\/li\u003e\n\u003cli\u003e Preparing reports, slideshows, and web pages with knitr \u003c\/li\u003e\n\u003cli\u003e Building reusable R packages with devtools and Rcpp \u003c\/li\u003e\n\u003cli\u003e Getting involved with the R global community \u003c\/li\u003e\n\u003c\/ul\u003e  ","brand":"Jared Lander","offers":[{"title":"Default Title","offer_id":46071045521642,"sku":"9780134546926","price":20.13,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/5301\/6298\/files\/71Pwnh-QygL._SY522.jpg?v=1781279911","url":"https:\/\/textbookme.store\/products\/r-for-everyone-advanced-analytics-and-graphics-addison-wesley-data-analytics-series","provider":"TextbookMe","version":"1.0","type":"link"}