6 Selecting data values

This chapter covers

  • Manipulating strings
  • Selecting groups of values from different structures
  • Conditionally selecting values
  • Replacing certain values
  • Manipulating data.frames in a better way: dplyr

Now that you’ve learned how to group values together into larger structures, it’s going to be useful to access smaller components of those from time to time, be it a column from a data.frame, a row from a matrix, or part of a string. Extracting data from larger structures is both one of the most common and most dangerous (because of various R quirks) operations that you’ll perform with the language. Knowing what the dangers are and to expect them rather than be surprised by them is a defensive strategy, and there’s value ...

Get Beyond Spreadsheets with R now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.