#Use as_tibble function from tibble package
tibble::as_tibble()NEOF Tidyverse
This is a resource for the R Tidyverse suite of packages. It is intended as a quick one-stop reference/cookbook for the various tidyverse packages and their functions.
This website does not go into great details rather it provides:
- Concise explanations
- Quick examples
- Links to the official documentation
This website is split into sections for each of the main packages in tidyverse. These are:
- tibble: A new and improved data frame-like object
- dplyr: data manipulation, also introduces the tidyverse pipe (
|>) - readr: Read in tabular data
- tidyr: Tidying tibbles, includes going from wide to long tibbles/data frames
- ggplot2: Visualisation with the grammar of graphics
- stringr: String manipulation
- forcats: Factor manipulation (in development)
- purrr: Functions & vectors (in development)
- lubridate: Data-time data (in development)
Tip: Hexagonal images, such as the 9 at the top of this page, can be clicked on to bring you to the package/function webpage. You can also right click and open link in new tab, or click with your middle mouse button to open the page in a new tab.
Note: The sections marked with “in development” are currently empty.
Reading order
If you are starting out with Tidyverse I recommend reading through the website in the above order. The above sections can be grouped into the following chapters:
- Fundamental Tidyverse: tibble, dplyr, and readr
- Plot generation: tidyr & ggplot2
- Miscellaneous: stringr, forcats, purrr, and lubridate
Optionally you can run through learnr tutorials made for this website: learnr course
Package names
To keep consistent we will include the package name of each function used in code. This is carried out like below.
Note: Don’t run the below command
Installation & loading
Ensure you have tidyverse installed and loaded before running commands within the rest of these materials.
You can install all the tidyverse packages with the following command:
install.packages("tidyverse")Once installed you can load the package suite:
library("tidyverse")To update Tidyverse check the following link:
External links
- Tidyverse homepage
- Cheatsheets
- R for Data Science (2e): If you want a more structured course this is a good place to start.

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