General Introduction, Installation and Setup
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R variables and data types: Introduction to R Programming
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R supports multiple variable types
Errors often result because of trying to perform an unsupported operation on a specific data type
Errors can be cryptic to interpret
We can use helper packages to import and filter data in R
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Break
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Data Structures
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R supports multiple variable types
Errors often result because of trying to perform an unsupported operation on a specific data type
Errors can be cryptic to interpret
We can use helper packages to import and filter data in R
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Controls and Loops
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R markdown notebooks can be very powerful for keeping your code and output in one place
Use if and if-else statements to control the execution of your code
If you have to do something multiple times, you might consider using a loop
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Break
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Data Wrangling
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R has a large community of developers creating power tools for data analysis
Tidyverse is a great data wrangling suite of functions
Use haven to read in your SPSS, STATA, etc files
Use dplyr to perform the common data manipulations
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Visualisation
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Break
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Data and statistical analysis
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