hoode:
My goal is to be able to run summary statistics on my data without the rows that have the value of 1 in the completeness column. I don't want to delete those rows because I will need to run some statistics on them separately.
Would it be simpler to use the dplyr(filter) function?
Yes, definitely.
If you still need help with this, please provide a minimal REPR oducible EX ample (reprex) ilustrating your issue. A reprex makes it much easier for others to understand your issue and figure out how to help.
If you've never heard of a reprex before, you might want to start by reading this FAQ:
A minimal reproducible example consists of the following items:
A minimal dataset, necessary to reproduce the issue
The minimal runnable code necessary to reproduce the issue, which can be run
on the given dataset, and including the necessary information on the used packages.
Let's quickly go over each one of these with examples:
Minimal Dataset (Sample Data)
You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue.
Let's say, as an example, that you are working with the iris data frame
head(iris)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 1 5.1 3.5 1.4 0.…