Data Analysis with R Competency (Intermediate Level)

Topics covered

• add, edit, and remove the names and values in lists
• create an R5 reference class with various member variables and member functions
• create crosstabs and view the aggregate statistics of data frames
• create custom classes using the class(), attr(), and structure() functions
• create lists and perform indexing operations
• create variables using different techniques
• export data to various text, CSV, JSON, and Excel files
• format strings using formatC() and print data with placeholders using sprintf()
• implement if statements and nested for loops within outer for loops
• import data from XML, Excel, and JSON files
• perform logical and filter operations on elements in vectors
• perform operations on strings, such as combining and splitting strings
• recall how built-in functions can be viewed and new functions created
• recall the different basic or atomic data types
• specify functions as input arguments to other functions
• use recycling for operations with two different sized vectors
• use repeat loops to repeat an operation until a break statement is reached
• use the stack() and unstack() functions to reformat data frames
• use the transform() function to transform data in data frames
• visualize data using scatter plots, box plots, and line charts