Hi,
If I have two datasets like this:
df=data.frame("id"=rep(1:10,10, each=10), "item1"=sample(1:20, 100, replace=T)
df2=data.frame("a"=c(8, 8,10,9, 5, 1,2,1), "b"=c(16,18,11, 19,18, 11,17,12))
How do I find out which ids in the df dataset that has a match for both the
numbers occuring in the sa
Hallo Marine
Could you please make your example more reproducible by using set.seed (and
maybe smaller)?
If I understand correctly, you want to know if let say row 1 items from df2
(8,16) are both in item column of specific id?
If I am correct in guessing, I cannot find another solution than spl
Would an inner_join work? If not, please describe why so that we can improve
our answer. This answer requires the dplyr package.
https://statisticsglobe.com/r-dplyr-join-inner-left-right-full-semi-anti
Regards,
Tim
-Original Message-
From: R-help On Behalf Of PIKAL Petr
Sent: Friday, Oc
The merge function doesn't require a package.
But inner_join may be faster than merge.
On October 7, 2022 8:16:11 AM PDT, "Ebert,Timothy Aaron" wrote:
>Would an inner_join work? If not, please describe why so that we can improve
>our answer. This answer requires the dplyr package.
>https://stat
Well, for a start, you might give us a reproducible example that actually
runs -- yours doesn't. Did you check? You seem to b.e missing a final
")"(Also, you do not need to quote the column names in data.frame(), though
it works fine also if you do).
Also note that in df, your id column has length
5 matches
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