By the end of this week, students should be able to

  • Explain fundamental data structures in R
    • lists
    • matrices and arrays
    • data frames and tibbles
  • Describe the difference between data types and data classes
  • Explain a variety of data formats with corresponding file extensions:
    • plain-text rectangular files: .csv, .tsv, .fwf
    • proprietary binary files: .xls, .xlsx, .sas7bdat, .dta, .sav
    • json: .json
  • Write R code to
    • create lists and tibbles
    • subset lists and tibbles with [], [[]], $
    • import external data files using relative file paths and URL links