Below are some common mistakes made in the tidyverse and ways to fix them. As always in R (and probably in life) if some code ever gets too frustrating, step away from your computer for a few minutes.
When doing math (inside or outside of tidyverse) NA values can mess up everything. Below is an example of this. We can utilize na.rm = command, which by default is set to βFALSEβ.
Piping is something that most R programmers use in some way or another. If you decide to use it, it is imperative that the pipe is placed on the line that youβre going to connect. Below is an example of a good and a bad (wonβt work) piping.
As mentioned before, there may be times where there are packages being loaded that have conflicting function names. For instance dplyr::filter vs stats::filter.