3 Steps for Documenting Simple Analyses on R
Many of us encounter R in grad school for the first time, and the application of R may be limited to a small dataset.
While we cannot spend too much time learning everything on R, we must ensure data is traceable and repeatable. Therefore, good note-taking habits certainly help you to navigate your PhD with greater efficiency.
In this video, I have shared a simple method of how I keep track of my R analysis for a small dataset.
If you are aa R beginner and still need more help to document the R scripts, my simple method could help you feel more on top of the analysis.
This simple approach should help you feel less lost every time you work on R, and help the data become easier to share with the non-R users.
#PhD #PhDStudent #PhDTips #PhDProductivity
This is a shorter video, to catch up with the previous tips I have shared here are the links:
Programming with R in your PhD - How to start!
• Programming with R in your PhD - How to st...
How to Process Data Without Getting Lost
• How to Process Data Without Getting Lost
Many great YouTube resources to learn R
R Programming Tutorial - Learn the Basics of Statistical Computing (freeCodeCamp.org)
• R Programming Tutorial - Learn the Basics ...
Getting Familiar with Data Visualization in R | Graphs in R Part 1 | R-Tutorials.com
• Getting Familiar with Data Visualization i...
Song Libraries Used:
Coffee Stains - Riot
Cute Avalanche - RKVC
Rainbow Forest - Quincas Moreira
Fantasyland - Quincas Moreira
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