Or even split -> lapply -> unsplit, in cases where you want the results put
back in the original order.
(Doesn't matter here, but it would, had it been, say, ordered 1,2,3,1,2,2,3).
-pd
> On 22 Mar 2020, at 08:44 , Deepayan Sarkar wrote:
>
> Another possible approach is to use split ->
On 22/03/20 8:44 pm, Deepayan Sarkar wrote:
Another possible approach is to use split -> lapply -> rbind, which I
often find to be conceptually simpler:
d <- data.frame(Serial = c(1, 1, 2, 2, 2, 3, 3),
Measurement = c(17, 16, 12, 8, 10, 19, 13))
dlist <- split(d, d$Serial)
Another possible approach is to use split -> lapply -> rbind, which I
often find to be conceptually simpler:
d <- data.frame(Serial = c(1, 1, 2, 2, 2, 3, 3),
Measurement = c(17, 16, 12, 8, 10, 19, 13))
dlist <- split(d, d$Serial)
dlist <- lapply(dlist, within,
{
Serial_test
On 22/03/20 4:01 pm, Thomas Subia via R-help wrote:
Colleagues,
Here is my dataset.
Serial Measurement Meas_test Serial_test
1 17 failfail
1 16 passfail
2 12 passpass
2 8
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