{"product_id":"r-all-in-one-for-dummies-paperback-softback-9781119983699","title":"R All-in-One For Dummies (Paperback \/ softback) 9781119983699","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eR All-in-One For Dummies\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eJoseph Schmuller (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119983699, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 7 February 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e688 pages\u003cbr\u003e23.4 x 18.5 x 4.8 cm, 0.93 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA deep dive into the programming language of choice for statistics and data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWith \u003ci\u003eR All-in-One For Dummies\u003c\/i\u003e, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eGrasp the basics of the R programming language and write your first lines of code\u003c\/li\u003e \u003cli\u003eUnderstand how R programmers use code to analyze data and perform statistical analysis\u003c\/li\u003e \u003cli\u003eUse R to create data visualizations and machine learning programs \u003c\/li\u003e \u003cli\u003eWork through sample projects to hone your R coding skill\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBook 1: Introducing R 5\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: R: What It Does and How It Does It 7\u003c\/p\u003e \u003cp\u003eChapter 2: Working with Packages, Importing, and Exporting 37\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBook 2: Describing Data 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Getting Graphic 53\u003c\/p\u003e \u003cp\u003eChapter 2: Finding Your Center 93\u003c\/p\u003e \u003cp\u003eChapter 3: Deviating from the Average 103\u003c\/p\u003e \u003cp\u003eChapter 4: Meeting Standards and Standings 113\u003c\/p\u003e \u003cp\u003eChapter 5: Summarizing It All 125\u003c\/p\u003e \u003cp\u003eChapter 6: What’s Normal? 145\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBook 3: Analyzing Data 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: The Confidence Game: Estimation 165\u003c\/p\u003e \u003cp\u003eChapter 2: One-Sample Hypothesis Testing 181\u003c\/p\u003e \u003cp\u003eChapter 3: Two-Sample Hypothesis Testing 207\u003c\/p\u003e \u003cp\u003eChapter 4: Testing More than Two Samples 233\u003c\/p\u003e \u003cp\u003eChapter 5: More Complicated Testing 257\u003c\/p\u003e \u003cp\u003eChapter 6: Regression: Linear, Multiple, and the General Linear Model 279\u003c\/p\u003e \u003cp\u003eChapter 7: Correlation: The Rise and Fall of Relationships 315\u003c\/p\u003e \u003cp\u003eChapter 8: Curvilinear Regression: When Relationships Get Complicated 335\u003c\/p\u003e \u003cp\u003eChapter 9: In Due Time 359\u003c\/p\u003e \u003cp\u003eChapter 10: Non-Parametric Statistics 371\u003c\/p\u003e \u003cp\u003eChapter 11: Introducing Probability 393\u003c\/p\u003e \u003cp\u003eChapter 12: Probability Meets Regression: Logistic Regression 415\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBook 4: Learning from Data 423\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Tools and Data for Machine Learning Projects 425\u003c\/p\u003e \u003cp\u003eChapter 2: Decisions, Decisions, Decisions 449\u003c\/p\u003e \u003cp\u003eChapter 3: Into the Forest, Randomly 467\u003c\/p\u003e \u003cp\u003eChapter 4: Support Your Local Vector 483\u003c\/p\u003e \u003cp\u003eChapter 5: K-Means Clustering 503\u003c\/p\u003e \u003cp\u003eChapter 6: Neural Networks 519\u003c\/p\u003e \u003cp\u003eChapter 7: Exploring Marketing 537\u003c\/p\u003e \u003cp\u003eChapter 8: From the City That Never Sleeps 557\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBook 5: Harnessing R: Some Projects to Keep You Busy 573\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Working with a Browser 575\u003c\/p\u003e \u003cp\u003eChapter 2: Dashboards — How Dashing! 603\u003c\/p\u003e \u003cp\u003eIndex 639\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer programming \/ software development [\u003ca title=\"See our other books on Computer programming \/ software development\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20programming%20\/%20software%20development%20%5BUM%5D%22\"\u003eUM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"For Dummies","offers":[{"title":"Brand New","offer_id":52453561860376,"sku":"9781119983699","price":21.95,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119983699.jpg?v=1785286635","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/r-all-in-one-for-dummies-paperback-softback-9781119983699","provider":"Freshly Printed Books","version":"1.0","type":"link"}