Topics

• Data frames
• Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
• data.table
• Pattern Matching and Replacement
• Control flow structures
• Reshaping data between long and wide forms
• R code vectorization best practices
• Reshaping, stacking and splitting

Examples

• Importing .csv files
• Subsetting rows and columns from a data frame
• Finding Matches
• Optimal Construction of a For Loop
• By row operations