| 書目名稱 | Practicing R for Statistical Computing | | 編輯 | Muhammad Aslam,Muhammad Imdad Ullah | | 視頻video | http://file.papertrans.cn/754/753425/753425.mp4 | | 概述 | Provides useful exercises and practice problems at the end of each chapter.Features with numbering of each R code line in boxes with comments.Presents a useful list of R packages and functions, groupe | | 圖書封面 |  | | 描述 | .This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R...The book also covers flow control and conditional calculations by using?‘‘if’’?conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common | | 出版日期 | Textbook 2023 | | 關鍵詞 | R language; data analysis using R language; computing Statistics using R; learning statistics using R; R | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-2886-6 | | isbn_softcover | 978-981-99-2888-0 | | isbn_ebook | 978-981-99-2886-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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