RRRRR, I’m stuck!: Key Points

Making a reprex is the next step after trying code first aid.
In order to make a good reprex, it is important to simplify your code
Simplify code by removing parts not directly related to the question
Give helpers access to the functions used in your code by loading all necessary packages

Minimal Reproducible Data

A minimal reproducible dataset contains (a) the minimum number of lines, variables, and categories, in the correct format, to replicate your issue; and (b) it must be fully reproducible, meaning that someone else can access or run the same code to reproduce the dataset needed for your reprex.
To make it accessible, you can create a dataset from scratch using as.data.frame, you can use an R dataset like cars, or you can use a subset of your own dataset and then use dput() to generate reproducible code.

The reprex package makes it easy to format and share your reproducible examples.
The reprex package helps you test whether your reprex is reproducible, and also helps you prepare the reprex to share with others.
Following a certain set of steps will make your questions clearer and likelier to get answered.