5.5 Resources

Here are some pointers on tibbles and related data tables:

5.5.1 Help on tibbles

For more details on tibbles and the tibble package (Müller & Wickham, 2023):

Essential **tibble** commands on the back of the [Posit cheatsheets](https://posit.co/resources/cheatsheets/) on **Data Import**.

Figure 5.3: Essential tibble commands on the back of the Posit cheatsheets on Data Import.

  • Another way of creating tibbles is by importing data files in various formats (e.g., with the read_csv() or read_delim() functions). The readr package (Wickham, Hester, et al., 2024) will be covered in the next chapter on Importing data (Chapter 6).

5.5.2 Miscellaneous

Alternative tools

Blogs etc.


ds4psy

[05_tibbles.Rmd updated on 2024-03-20 11:48:16.532757 by hn.]

References

Müller, K., & Wickham, H. (2023). tibble: Simple data frames. Retrieved from https://tibble.tidyverse.org
Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. Retrieved from http://r4ds.had.co.nz
Wickham, H., Hester, J., & Bryan, J. (2024). readr: Read rectangular text data. Retrieved from https://CRAN.R-project.org/package=readr