Suppose you're asked to analyze a large data set in R that requires multiple statistical tests. How would you approach this task?
- Plan and prioritize the tests based on the research question
- Automate the process using loops or functions
- Utilize appropriate statistical packages or libraries
- All of the above
When analyzing a large data set in R that requires multiple statistical tests, it is important to plan and prioritize the tests based on the research question. Identify the relevant tests, determine the appropriate order, and apply them systematically. Automation using loops or functions can help streamline the process and reduce redundancy. Utilize the appropriate statistical packages or libraries available in R to access the required tests and functions efficiently.
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