Názov : | Applied statistics using R : a guide for the social & natural sciences / | Typ dokumentu: | printed text | Autori: | Mehmet Mehmetoglu ; Matthias Mittner | Údaje o vydaní (edition statement): | 1. | Stránkovanie: | pages cm | ISBN (alebo iný kód): | 978-1-526-47622-7 | Abstrakt: | "If you want to use R for analysis but aren't sure how to get started, this practical book will help you find the right path through your data. Drawing on real world data to showcase different techniques, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to apply R packages and functions and adjust them to suit different datasets. Empowers you to become confident using new techniques by encouraging you to run and adapt the authors' own code. Equips you with solutions to overcome the challenges of working with data from real research"-- |
Applied statistics using R : a guide for the social & natural sciences / [printed text] / Mehmet Mehmetoglu ; Matthias Mittner . - 1. . - [s.d.] . - pages cm. ISBN : 978-1-526-47622-7 Abstrakt: | "If you want to use R for analysis but aren't sure how to get started, this practical book will help you find the right path through your data. Drawing on real world data to showcase different techniques, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to apply R packages and functions and adjust them to suit different datasets. Empowers you to become confident using new techniques by encouraging you to run and adapt the authors' own code. Equips you with solutions to overcome the challenges of working with data from real research"-- |
|