Thank you Arun Kirshna. That worked perfectly!
On Mon, Mar 24, 2014 at 2:49 PM, arun kirshna [via R] <
ml-node+s789695n4687459...@n4.nabble.com> wrote:
> Hi,
> Try ?merge() or ?join from library(plyr)
> If `dat1` and `dat2` are the datasets:
> res <- merge(dat1,dat2,by="Code",all=TRUE)
> res[is
You'll have to do this in two stages. The merge is just a case of
specifying all=TRUE:
data1 <- data.frame(Code=c(2,6,7,17), Cap04=c(120,75,220,4))
data2 <- data.frame(Code=c(2,7,9,17), Cap08=c(120,112,190,4))
data.merge <- merge(data1,data2, all=TRUE)
data.merge
Code Cap04 Cap08
12 120
Hi,
Try ?merge() or ?join from library(plyr)
If `dat1` and `dat2` are the datasets:
res <- merge(dat1,dat2,by="Code",all=TRUE)
res[is.na(res)] <- 0
res
# Code Cap04 Cap08
#1 2 120 120
#2 6 75 0
#3 7 220 112
#4 9 0 190
#5 17 4 4
A.K.
Hello,
I need t
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