Get introduced to navigation in R, including using the console, using a script window, outputting graphics, using menus, and running code.
- [Voiceover] Welcome to Navigating in R.…Let's actually run R together and I'll be your tour guide…as we explore the interface.…First, when we open R, I'll show you what the R console is…and how to use it.…I will demonstrate making and saving R code…and show you what happens when you run code in R…that produces graphics.…Finally, I will describe R packages…and show you how to add them.…As I said before, lets choose the x64 icon…and double click it to run R.…
See how the first window that opens say R console on it?…This is the window where you will run all your code.…Click on it and you can highlight or select the window.…When this happens, you get different menus above.…For example, lets set a default directory for your session.…You can choose File, Change dir…and select a default directory.…So where is the code?…We can start a new code file by choosing File, New Script.…
Let me type some super simple example code in here.…Let's make a variable called "a" that is the value of 12.…We will type "a" for the name of the variable…
This detailed, practical course is designed to help those in the field of public health, medicine, and data science to edit, analyze, and interpret data. Learn how to code new variables, use the forward-stepwise modeling process, and document your decisions. Find out how to visualize results by generating charts and graphics, and how to add tables and figures to your documentation. This course helps equip you to independently design, develop, and execute a full BRFSS analysis, and even publish your results in scientific publications or journals.
- Reviewing survey data and documentation
- Conducting a BRFSS analysis
- Understanding naming conventions
- Editing variables
- Reviewing distributions
- Generating an analytic dataset
- Developing descriptive statistics to answer prespecified hypotheses
- Preparing publication-worthy tables and plots
Skill Level Advanced
1. What Is the BRFSS?
2. Designing Your Metadata
3. Reading in Data and Applying Exclusions
4. Preparing for Descriptive Analysis
5. Conducting Descriptive Analysis
Making a frequency macro4m 8s
6. Descriptive Analysis: Weights and Tests
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