Is it possible to row bind two data frames that don't have the same set of columns? I am hoping to retain the columns that do not match after the bind.
I'd like to remove the lines in this data frame that:
a) contain NAs across all columns. Below is my example data frame.
gene hsap mmul mmus rnor cfam
1 ENSG00000208234 0 NA NA NA NA
2 ENSG00000199674 0 2 2 2 2
3 ENSG00000221622 0 NA NA NA NA
4 …
I have a number of columns that I would like to remove from a data frame. I know that we can delete them individually using something like:
df$x <- NULL
But I was hoping to do this with …