Antje -
I may be missing something, but I usually do this with the negation of
duplicated instead of unique.
So, as an example:
test <- data.frame(a = rep(1:5, each = 2),
b = rep(1:5, each = 2), c = rnorm(10))
test[!duplicated(test[c("a", "b")]), ]
Hope that helps!
Erik
Antje Nöthlich wrote:
Hei R Users,
i have the following dataframe:
Datetime Temperature and many more
collumns
1 2008-6-1 00:00:00 5
2 2008-6-1 02:00:00 5
3 2008-6-1 03:00:00 6
4 2008-6-1 03:00:00 0
5 2008-6-1 04:00:00 6
6 2008-6-1 04:00:00 0
7 2008-6-1 05:00:00 7
8 2008-6-1 06:00:00 7
. . .
. . .
. . .
3000 2008-8-31 00:00:00 3
the problem is that row 3 & 4 and row 5 & 6 have the same "Datetime" value but they differ in the values of the "Temperature" column.
Now for the whole dataframe i would like to delete rows that have the same "Datetime" value as the prior row.
I have tried unique(dataframe), but it does not work here because the rows are no real duplicates of each other.
thanks in advance for your help!
Antje
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