Data analysis consists of several steps, where your data moves through different stages of transformations and cleaning before you finally get to model construction. In practical terms, this means that your R code will consist of a series of function calls where the output of one is the input of the next. The pattern is typical, but a straightforward implementation of it has several drawbacks. The Tidyverse provides a “pipe operator” to alleviate this.
The pipe operator is implemented in the magrittr package
. You can load it as part of the tidyverse package
:
library(tidyverse)
Or ...
