I'm trying to merge multiple data frames by row names.
I know how to do it with two:
x = data.frame(a = c(1,2,3), row.names = letters[1:3])
y = data.frame(b = c(1,2,3), row.names = letters[1:3])
merge(x,y, by = "row.names")
But when I try using the reshape
package's merge_all()
I'm getting an error.
z = data.frame(c = c(1,2,3), row.names = letters[1:3])
l = list(x,y,z)
merge_all(l, by = "row.names")
Error in -ncol(df) : invalid argument to unary operator
What's the best way to do this?
As an alternative to
Reduce
andmerge
:If you put all the data frames into a list, you can then use
grep
andcbind
to get the data frames with the desired row names.Merging by
row.names
does weird things - it creates a column called Row.names, which makes subsequent merges hard.To avoid that issue you can instead create a column with the row names (which is generally a better idea anyway - row names are very limited and hard to manipulate). One way of doing that with the data as given in OP (not the most optimal way, for more optimal and easier ways of dealing with rectangular data I recommend getting to know
data.table
instead):maybe there exists a faster version using
do.call
or *apply
, but this works in your case:important may be to define all the parameters (like
by
) in the functionmerge.all
you want to forward tomerge
since the whole...
arguments are used in the list of objects to merge.