thank you David and Bert, these solutions will work for me... Andras
On Saturday, July 15, 2017 6:05 PM, Bert Gunter
wrote:
...
and here is a slightly cleaner and more transparent way of doing the
same thing (setdiff() does the matching)
> with(df, setdiff(ID,ID[samples %in% c("B","C"
...
and here is a slightly cleaner and more transparent way of doing the
same thing (setdiff() does the matching)
> with(df, setdiff(ID,ID[samples %in% c("B","C") ]))
[1] 3
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
If I understand correctly, no looping (ave(), for()) or type casting
(as.character()) is needed -- indexing and matching suffice:
> with(df, ID[!ID %in% unique(ID[samples %in% c("B","C") ])])
[1] 3 3
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming a
> On Jul 15, 2017, at 4:01 AM, Andras Farkas via R-help
> wrote:
>
> Dear All,
>
> wonder if you could please assist with the following
>
> df<-data.frame(ID=c(1,1,1,2,2,3,3,4,4,5,5),samples=c("A","B","C","A","C","A","D","C","B","A","C"))
>
> from this data frame the goal is to extract the
Dear All,
wonder if you could please assist with the following
df<-data.frame(ID=c(1,1,1,2,2,3,3,4,4,5,5),samples=c("A","B","C","A","C","A","D","C","B","A","C"))
from this data frame the goal is to extract the value of 3 from the ID column
based on the logic that the ID=3 in the data frame has
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