i have the following conundrum. I have a dataframe x that looks like:
v2 v3
10 4.0 3.0
11 5.0 3.0
12 6.0 9.0
13 5.0 6.0 # where 10-14 are rownames
14 3.0 6.0
and then the datafame y:
value
11 99
13 88 #where 11,13,14 are row names
14 33
I would like to add value to x matching the rownames and filling the gaps with zeros.i.e.:
v2 v3 value
10 4.0 3.0 0
11 5.0 3.0 99
12 6.0 9.0 0
13 5.0 6.0 88
14 3.0 6.0 33
Although if I have to fill with NAs maybe I can do this and then change NAs to zeros within the new y vector afterwards.
I have been trying variations of rbind.fill from plyr using newDF<-do.call(rbind.fill)but nothing i am achieving is working out the way i hope.
EDIT
i GOT IT TO GIVE NAS USING
merge(x,y,all=TRUE,by='row.names')