Some further tricks will (probably) lead you to your goal. I suppose you
use duplicated() or something similar to get an array of locations of
the duplicated values:
pos.dup <- whcih(duplicated(value))
then do
diff.pos.dup <- diff(pos.dup)
and you get the indices to delete:
pos.delete <- order[diff.pos.dup[which(diff.pos.dup==1)]]
I leave some tweaking to you as you perhaps have to adjust some indices
slightly by adding or substracting 1 (I am never exactly sure how this
diff() function turns out).
HTH
Jannis
Moohwan Kim schrieb:
Dear R family,
Suppose I have two series.
order value
1 0.52
2 0.23
3 0.43
4 0.21
5 0.32
6 0.32
7 0.32
8 0.32
9 0.32
10 0.12
11 0.46
12 0.09
13 0.32
14 0.25
For these two series, I figured out the way to detect the locations of
duplicate values.
The next thing to do is remove the repeated values except for a value
that would not be next to each other.
In other words, while keeping the 13th value, I want to remove
observations from 6th to 9th.
That is my end goal.
Could you help me reach the goal?
best
moohwan
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
