From the links in the page, the tidyverse packages are;
- ggplot2 - a package for creating fantastic graphs and visualisations of tidy data. It is built on the concept of a grammar for graphics, which, once understood, provides a straightforward and consistent interface for creating sophisticated graphs and plots of tidy data.
- tibble - provides an updated version of a
data.frame, the tibble, that is more consistent and better-suited to the needs of modern data science
- tidyr - provides tools for cleaning and manipulating your data so that it becomes “tidy data”. The tidyverse is built on the concept of tidy data. Tidy data is where every column is a variable, every row is an observation and every cell has a single value. Typically, real-world data needs to be munged to become tidy, e.g. via pivoting, rectangling, nesting etc. This package provides the functions to do this efficiently.
- readr - provides an updated version of R’s data reading functions, bringing greater consistency and more predictable behaviour.
- purrr - provides a functional programming toolkit, e.g. enabling you to perform functions on selected data within a tibble via mapping.
- dplyr - provides a set of data manipulation functions arranged around a consistent grammar for data manipulation. This includes, for example, filtering, selecting, mutating and arranging data.
- forcats - provides updated and more consistent tools for handling R factors (ways of representing catagorical data).