| 書目名稱 | Using R for Biostatistics |
| 編輯 | Thomas W. MacFarland,Jan M. Yates |
| 視頻video | http://file.papertrans.cn/945/944616/944616.mp4 |
| 概述 | Includes step-by-step processes on the use of R for data organization using multiple data formats: comma-separated values, Internet-hosted spreadsheets, tab-separated values, white space.Gives attenti |
| 圖書封面 |  |
| 描述 | .This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work .Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, .the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. .A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | correlation; biostatistics; data organization; descriptive statistics; Friedman two-way analysis of vari |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-62404-0 |
| isbn_softcover | 978-3-030-62406-4 |
| isbn_ebook | 978-3-030-62404-0 |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機版|小黑屋|
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