filter() appends an extra row of NA's

[johnwr]

I am using the dplyr filter function in the simplest possible way, selecting all rows of a dataframe whose first column equals 800. It returns these rows, but appends an extra row with 800 in the first column and NA's in the rest. Can anyone explain what's going on here?

[nirgrahamuk]

My bet would be, You always had such a row in there, you just weren't aware of it.

[johnwr]

No, I didn't, the file has no such row.

[nirgrahamuk]

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

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.…

[johnwr]

Dear nirgrahamuk,
You were right and I was too quick to dismiss your original suggestion. When I searched for 'NA's in one of the other columns I found two rows with 'NA's in all the columns. They were at the end of the dataframe, not contiguous with the other rows containing 800 in the first column. Your suggestion prompted me to look for the offending rows more widely.
Many thanks for your interest and support.

[nirgrahamuk]

Thanks for graciously returning and letting us know.
Glad it was a happy ending.