> On 1 Nov 2017, at 18:03 , Elahe chalabi via R-help
> wrote:
>
> But they row.names() cannot give me the IDs
>
Is "training" extracted from "data" using standard data frame indexing? If so,
data[row.names(training), "ID"] should give you the relevant values.
If not, then you are in troubl
training$TrainingRownum <- 1:nrow(training)
data$DataRownum <- 1:nrow(data)
matches <- merge(training,data,by=intersect(names(training),names(data)))
The data frame 'matches' now has additional columns telling you the row in
each data frame corresponding to the matched items.
Regards,
Eric
On We
It's not what I want, the first data frame has 499 observations and the second
data frame is a subset of the first one but with 375 observations. I want
something that returns the ID for training data frame
On Wednesday, November 1, 2017 10:18 AM, Eric Berger
wrote:
matches <- merge(tra
But they row.names() cannot give me the IDs
On Wednesday, November 1, 2017 9:45 AM, David Wolfskill
wrote:
On Wed, Nov 01, 2017 at 04:13:42PM +, Elahe chalabi via R-help wrote:
> Hi all,
> I have two data frames that one of them does not have the column ID:
>
> > str(data)
>
matches <- merge(training,data,by=intersect(names(training),names(data)))
HTH,
Eric
On Wed, Nov 1, 2017 at 6:13 PM, Elahe chalabi via R-help <
r-help@r-project.org> wrote:
> Hi all,
> I have two data frames that one of them does not have the column ID:
>
> > str(data)
> 'data.frame':
Hi all,
I have two data frames that one of them does not have the column ID:
> str(data)
'data.frame': 499 obs. of 608 variables:
$ ID : int 1 2 3 4 5 6 7 8 9 10 ...
$ alright : int 1 0 0 0 0 0 0 1 2 1 ...
$ bad : int 1 0 0 0 0 0 0 0 0 0 ...
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