R: The textbook - Master the language and perform statistical analyses
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| Titel: | R: The textbook - Master the language and perform statistical analyses |
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| Autoren: | de Micheaux, Pierre, Drouilhet, Remy, Liquet, Benoit, Pan, Dondong, Tang, Niansheng, Li, Qizha |
| Verlagsinformationen: | Higher Education Press 2015 |
| Publikationsart: | Electronic Resource |
| Abstract: | 本书是作者根据近年来在法国格勒诺布尔第二大学统计与商业智能系开设的一系列R课程的讲义提炼和精选而成，在Springer出版了法语版和英文版。 本书内容丰富详实，不仅涵盖了R语言绝大部分的基本操作命令，还由浅入深地介绍了数学和统计领域相当多的教学内容和方法在R中的编程实现，并独具匠心以一种易被读者接受和消化的方式来编排和组织。本书给出了几个实际数据集供读者自由下载，利用这些数据集在R软件中进行各种统计方法的演示。另外，本书还穿插介绍了作者多年在R语言编程方面的一些心得和技巧。 本书的大部分内容适用于各种操作系统（如主流的Windows、Linux、Mac）的用户，既可用作R初学者的教材或自学材料，对高级学者和研究人员也有参考价值。本书的全部习题和实践操作的答案在该书的网站上提供下载服务。 Translation: This book is based on the refinement and selection of a series of R courses offered by the Department of Statistics and Business Intelligence at the University of Grenoble in France in recent years. It is published in French and English in Springer. The content of this book is rich and detailed, which not only covers most of the basic operation commands of R language, but also introduces the programming content and method of quite a lot of teaching content and methods in mathematics and statistics field in R, and it is unique and easy to use. Organized and organized by readers to accept and digest. This book gives several practical data sets for readers to download freely, using these data sets to demonstrate various statistical methods in R software. In addition, the book also interspersed with the author's many years of experience and skills in R language programming. Most of the contents of this book are applicable to users of various operating systems (such as mainstream Windows, Linux, Mac). They can be used as textbooks or self-learning materials for R beginners, and also have reference value for advanced scholars and researchers. The answers to all the exercises and practical exercises in this book are available on the book's website. |
| Index Begriffe: | Book/Report |
| URL: | de Micheaux, Pierre, Drouilhet, Remy, Liquet, Benoit, Pan, Dondong, Tang, Niansheng, & Li, Qizha (2015) R: The textbook - Master the language and perform statistical analyses. Higher Education Press, China. |
| Verfügbarkeit: | Open access content. Open access content 2015 ??????? [Higher Education Press] This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Other Numbers: | ATUTQ oai:eprints.qut.edu.au:128013 Science & Engineering Faculty; School of Mathematical Sciences 1096297965 |
| Originalquelle: | QUEENSLAND UNIV OF TECH From OAIster®, provided by the OCLC Cooperative. |
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Nájsť tento článok vo Web of Science | Abstract: | 本书是作者根据近年来在法国格勒诺布尔第二大学统计与商业智能系开设的一系列R课程的讲义提炼和精选而成，在Springer出版了法语版和英文版。 本书内容丰富详实，不仅涵盖了R语言绝大部分的基本操作命令，还由浅入深地介绍了数学和统计领域相当多的教学内容和方法在R中的编程实现，并独具匠心以一种易被读者接受和消化的方式来编排和组织。本书给出了几个实际数据集供读者自由下载，利用这些数据集在R软件中进行各种统计方法的演示。另外，本书还穿插介绍了作者多年在R语言编程方面的一些心得和技巧。 本书的大部分内容适用于各种操作系统（如主流的Windows、Linux、Mac）的用户，既可用作R初学者的教材或自学材料，对高级学者和研究人员也有参考价值。本书的全部习题和实践操作的答案在该书的网站上提供下载服务。 Translation: This book is based on the refinement and selection of a series of R courses offered by the Department of Statistics and Business Intelligence at the University of Grenoble in France in recent years. It is published in French and English in Springer. The content of this book is rich and detailed, which not only covers most of the basic operation commands of R language, but also introduces the programming content and method of quite a lot of teaching content and methods in mathematics and statistics field in R, and it is unique and easy to use. Organized and organized by readers to accept and digest. This book gives several practical data sets for readers to download freely, using these data sets to demonstrate various statistical methods in R software. In addition, the book also interspersed with the author's many years of experience and skills in R language programming. Most of the contents of this book are applicable to users of various operating systems (such as mainstream Windows, Linux, Mac). They can be used as textbooks or self-learning materials for R beginners, and also have reference value for advanced scholars and researchers. The answers to all the exercises and practical exercises in this book are available on the book's website. |
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