## 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, 2019):

• Another way of creating tibbles is by importing data files in various formats (e.g., with readr::read_csv or readr::read_delim). The readr package (Wickham et al., 2018) will be covered in the next chapter on Importing data (Chapter 6).

### 5.5.2 Miscellaneous

• See the data.table package and its homepage for an alternative extension of the base R data.frame.

• See the R package datapasta and its vignette for a clipboard-based solution for cut-and-pasting data into RStudio.

• See this thread on the R-pkg-devel mailing list for a discussion about the pros and cons of tibbles being data frames.

[05_tibbles.Rmd updated on 2020-10-22 16:50:44 by hn.]

### References

Müller, K., & Wickham, H. (2019). tibble: Simple data frames. Retrieved from https://CRAN.R-project.org/package=tibble

Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. Retrieved from http://r4ds.had.co.nz