Reproducibility: Directories, Data, and Deliverables
The theme of this lesson is good management of your files and data.
You will learn how to:
Identify folders and paths.
Create and use R Projects.
Load data into R from files.
Deal with package challenges.
Create R Markdown documents with good reproducible principles.
Time Estimates: Â Â Â Â
Videos: 40 min    Â
Readings: 10-20 min    Â
Activities: 10 min    Â
Check-ins: 2 Directories, etc.
Required Video: Directories, Paths, Projects
Optional Reading: Workflow and Projects
Check-In 1: R Projects
Take a screenshot of your class directory, showing the R Project and the folder organization, including a Data folder.
Loading Data Into R
How do I load the data?
Check-In 2: Loading Data
Question 1
What line of code did you use - including the here function - to read in ages.csv?
Question 2
What does the stringsAsFactors argument do?
Question 3
What code did you use to read in Name as a factor and Age as a character?
Bonus Question
Just for fun - did you recognize the men in this dataset?