Okay, I spotted it. This is intentional. From ?rbind.data.frame:
"The rbind data frame method first drops all zero-column and zero-row
arguments."
So I wouldn't expect to keep the names in the argument that was dropped.
However, there's still an issue in the case where the row is named. To
me it implies that when df is empty, rbind(df, c(a=1, b=2)) should be
the same as rbind(c(a=1, b=2)), which gives a properly named result. Of
course, rbind(c(a=1, b=2)) won't call rbind.data.frame() at all, so that
explains the difference, but not the intention.
Duncan Murdoch
On 30/01/2022 6:50 a.m., Duncan Murdoch wrote:> I was surprised to see this result:
>
> # This works: Create a dataframe and add a row:
> df <- data.frame(a = 1, b = 2)
> rbind(df, c(3, 4))
> #> a b
> #> 1 1 2
> #> 2 3 4
>
> # It doesn't work if the original dataframe is empty
> df <- data.frame(a = numeric(), b = numeric())
> rbind(df, c(1, 2))
> #> X1 X2
> #> 1 1 2
> # The column names changed!
>
> # It doesn't matter if the new row is named:
> rbind(df, c(a = 1, b = 2))
> #> X1 X2
> #> 1 1 2
>
> I tried this in a very old R version, and saw the same result, so it's
> not a new bug: but is it maybe intentional, and if so, what is the
> reason for it?
>
> Duncan Murdoch