{"product_id":"learning-r-a-step-by-step-function-guide-to-data-analysis-paperback","title":"Learning R: A Step-By-Step Function Guide to Data Analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRichard Cotton\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. \u003c\/p\u003e\u003cp\u003e The second half of \u003ci\u003eLearning R\u003c\/i\u003e shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ ve learned, and concludes with exercises, most of which involve writing R code. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eWrite a simple R program, and discover what the language can do \u003c\/li\u003e\n\u003cli\u003eUse data types such as vectors, arrays, lists, data frames, and strings \u003c\/li\u003e\n\u003cli\u003eExecute code conditionally or repeatedly with branches and loops \u003c\/li\u003e\n\u003cli\u003eApply R add-on packages, and package your own work for others \u003c\/li\u003e\n\u003cli\u003eLearn how to clean data you import from a variety of sources \u003c\/li\u003e\n\u003cli\u003eUnderstand data through visualization and summary statistics \u003c\/li\u003e\n\u003cli\u003eUse statistical models to pass quantitative judgments about data and make predictions \u003c\/li\u003e\n\u003cli\u003eLearn what to do when things go wrong while writing data analysis code \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRichie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages assertive for checking the state of your variables and sig to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 396\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.82 x 9.18 x 7.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 22, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212601770233,"sku":"9781449357108","price":54.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/UTR5L2RVc1ZBYjlVTE9XN2h5OUtGdz09.webp?v=1768094646","url":"https:\/\/bookscloud.io\/products\/learning-r-a-step-by-step-function-guide-to-data-analysis-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}