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Lynda – Learning the R Tidyverse

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Lynda - Learning the R Tidyverse
Lynda - Learning the R Tidyverse
Size: 509 MB | Duration: 3h 44m | Video: AVC (.mp4) 720p | Audio: AAC 48KHz 2ch | Subtitles
Genre: eLearning | Level: Intermediate | Language: English

R is an incredibly powerful and widely used programming language for statistical analysis and data science. The "tidyverse" collects some of the most versatile R packages: ggplot2, dplyr, tidyr, readr, purrr, and tibble. The packages work in harmony to clean, process, model, and visualize data. This course introduces the core concepts of the tidyverse as compared to the traditional base R. It focuses on the novice user and those unfamiliar with the pipe (%>%) operator. After covering these R basics, instructor Martin Hadley progresses to importing and filtering data from Excel, CSV, and SPSS files, and summarizing and tabulating data in the tidyverse. Then learn how to identify if data is too wide or long and convert it if necessary, and conduct nonstandard evaluation. By the end of the course, you should be able to integrate the tidyverse into your R workflow and leverage a variety of new tools for importing, filtering, visualizing, and modeling research and statistical data.

Topics include:
* Understanding the pipe (%>%) operator
* Importing .xlsx and .csv files
* Filtering and summarizing data sets
* Using tidyr to convert wide and long data sets
* Non-standard evaluation and programming with the tidyverse

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  1. 学习R Tidyverse R是一款强大的难以置信并且广为使用的用于统计分析和数据科学的编程语言。tidyverse收集了一些功能最全的R工具包:ggplot2, dplyr, tidyr, readr, purrr, 和tibble。这些工具包可以和谐地协同工作用以清晰、处理、建模和对数据可视化。本教程介绍了tydyverse相对于传统的基础性R来说的核心概念。其针对新手用户和那些不熟悉管道操作的用户。在讲完了R的基础知识后,讲师Martin Hadley会逐渐地导入和从Excel、CSV和SPSS文件中筛选数据,汇总以及在tidyverse中对数据表格化。然后会学习如何数据太宽泛或太长的情况下有别要对其转换并如何识别数据,以及实施非标准化的评估。学习完本教程,你应该能够将tidyverse整合到R工作流程中并利用大量的新工具用于导入、筛选、可视化以及对研究和统计数据建模。 主要内容: • 了解管道操作 • 导入xlsx和csv文件 • 筛选和汇总数据集 • 使用tidyr转换宽泛和长数据集 • 使用tidyverse非标准评估和编程
    wilde(特殊组-翻译)1个月前 (10-07)