R cookbook: proven recipes for data analysis, statistics, and graphics
β Scribed by Long, J. D.; Teetor, Paul
- Publisher
- O'Reilly Media
- Year
- 2019
- Tongue
- English
- Leaves
- 579
- Edition
- Second edition
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.
β¦ Subjects
Software Packages;COMPUTERS / Programming / Open Source;COMPUTERS / Data Modeling et Design;COMPUTERS / Bioinformatics
π SIMILAR VOLUMES
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediat
https://www.oreilly.com/library/view/r-cookbook-2nd/9781492040675/<br><br> Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be diffic
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediat
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate