3.6 Resources

This section contains links to resources on transforming data.

3.6.1 Help on data transformation

For more details on dplyr (Wickham, François, Henry, & Müller, 2022):

Data transformation with **dplyr** summary from [RStudio cheatsheets](https://www.rstudio.com/resources/cheatsheets/).

Figure 3.8: Data transformation with dplyr summary from RStudio cheatsheets.

3.6.2 Tidyverse tools

For general information about the tidyverse (Wickham, 2019c) and its principles:

The topic of data transformation will stay with us for the rest of this book, as various later chapters cover more advanced aspects. For instance, Chapter 8 on Joining data will cover so-called 2-table-verbs of dplyr.


[03_transform.Rmd updated on 2022-07-15 18:31:56 by hn.]


Wickham, H. (2019c). tidyverse: Easily install and load the ’tidyverse’. Retrieved from https://CRAN.R-project.org/package=tidyverse
Wickham, H., François, R., Henry, L., & Müller, K. (2022). Dplyr: A grammar of data manipulation. Retrieved from https://CRAN.R-project.org/package=dplyr
Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. Retrieved from http://r4ds.had.co.nz