Getting into the workflow

1. 集中管理：

   R 项目就像一个“文件柜”，将脚本、数据、文档组织在一个固定的结构中，便于集中管理。

2. 跨平台兼容：

   避免不同操作系统之间路径引用的问题，让你的代码更具可移植性。

3. 长期维护友好：

   即使你几周、几个月甚至几年后再回到项目，也能迅速找到所需文件，继续工作。

4. 便于协作和共享：

   项目结构清晰，便于将分析过程分享给他人运行、修改和验证。

Creating a new RStudio project

Step 1: Start a new project

Step 2: Set a directory

Step 3: Select the project type

Step 4: Give your directory a name

Step 5: Well done, you’ve now created a RStudio project!

Installing packages  

Packages are the way R users share useful code. You can think of each R package as a book. Once you’ve installed a package, you can load the code contained in it using

library - which is like checking out a book from the library!

包是 R 用户共享有用代码的方式。你可以把每个 R 包想象成一本书。安装包后，你可以使用 library 加载其中包含的代码——就像从图书馆借书一样！

install.packages(tidyverse)

install.packages(visdat)

• What happened when you ran library(tidyverse) at the console?

  

• Do you think that you’ll always need to run that code to use the tidyverse?

  Although the tidyverse only needs to be installed once, it must be loaded in every new R session using library(tidyverse) before I can use its functions like glimpse() or filter().

  • R 是会话式语言，每次启动是全新环境；
  • 安装一次 tidyverse 就够了，但每次使用时都要用 library() 手动加载；
  • 如果你在 R Markdown 文件中用到了 tidyverse，也应该在开头代码块中加载它。
• What happened when you ran the code chunk?

  When I ran glimpse(diamonds), I saw a vertical summary of the diamonds dataset including each variable’s type and a preview of its values. Then, when I ran filter(diamonds, carat <= 2.5), R returned a filtered version of the dataset containing only rows where the diamond’s carat is 2.5 or less. This filtered dataset had fewer rows than the original (53,814 instead of 53,940).