{"product_id":"9781032244037","title":"R Data Analysis without Programming: Explanation and Interpretation","description":"\u003cp\u003eThe new edition of this innovative book, \u003ci\u003eR Data Analysis without Programming\u003c\/i\u003e, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed \u003ci\u003elessR\u003c\/i\u003e, a ground-breaking method in alleviating the challenges of R programming. The \u003ci\u003elessR\u003c\/i\u003e extends R, removing the need for programming. This edition expands upon the first edition’s introduction to R through \u003ci\u003elessR,\u003c\/i\u003e which enables the readers to learn how to organize data for analysis, read the data into R, and generate output without performing numerous functions and programming exercises first. With \u003ci\u003elessR\u003c\/i\u003e, readers can select the necessary procedure and change the relevant variables with simple function calls. The text reviews and explains basic statistical procedures with the \u003ci\u003elessR\u003c\/i\u003e enhancements added to the standard R environment. Using \u003ci\u003elessR\u003c\/i\u003e, data analysis with R becomes immediately accessible to the novice user and easier to use for the experienced user.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHighlights along with content new to this edition include:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ci\u003eExplanation and Interpretation\u003c\/i\u003e of all data analysis techniques; much more than a computer manual, this book shows the reader how to explain and interpret the results.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eIntroduces\u003c\/i\u003e the concepts and commands reviewed in each chapter.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eClear, relaxed writing style\u003c\/i\u003e more effectively communicates the underlying concepts than more stilted academic writing.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eExtensive margin notes\u003c\/i\u003e highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number for the initial introduction.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eScenarios\u003c\/i\u003e that highlight the use of a specific analysis followed by the corresponding R\/\u003ci\u003elessR\u003c\/i\u003e input, output, and an interpretation of the results.\u003c\/li\u003e\n\u003cp\u003e\u003cem\u003eNumerous examples of output\u003c\/em\u003e from psychology, business, education, and other social sciences, that demonstrate the analysis and how to interpret results.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003e\n\u003ci\u003eTwo data sets\u003c\/i\u003e are analyzed multiple times in the book, provide continuity throughout.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eComprehensive\u003c\/i\u003e: A wide range of data analysis techniques are presented throughout the book.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eIntegration with machine learning\u003c\/i\u003e as regression analysis is presented from both the traditional perspective and from the modern machine learning perspective.\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eEnd of chapter\u003c\/i\u003e \u003ci\u003eproblems\u003c\/i\u003e help readers test their understanding of the concepts.\u003c\/li\u003e\n\u003cli\u003eA website at \u003ci\u003e\u003cu\u003ewww.lessRstats.com\u003c\/u\u003e\u003c\/i\u003e that features the data sets referenced in both standard text and SPSS formats so readers can practice using R\/\u003ci\u003elessR\u003c\/i\u003e by working through the text examples and worked problems, R\/\u003ci\u003elessR\u003c\/i\u003e videos to help readers better understand the program, and more.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is ideal for graduate and undergraduate courses in statistics beyond the introductory course, research methods, and\/or any data analysis course, taught in departments of psychology, business, education, and other social and health sciences; this book is also appreciated by researchers doing data analysis. Prerequisites include basic statistical knowledge, though the concepts are explained from the beginning in the book. Previous knowledge of R is not assumed.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":46261499166961,"sku":"9781032244037","price":73.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781032244037_p0.jpg?v=1765050509","url":"https:\/\/shop.barnesandnoble.com\/products\/9781032244037","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}