Hello,
Try the following.
dat <-
structure(list(V1 = structure(c(2L, 3L, 1L, 2L, 3L, 4L, 5L, 6L,
4L, 5L), .Label = c("2006-10", "2006-11", "2006-12", "2007-01",
"2007-02", "2007-03"), class = "factor"), V2 = c(NaN, NaN, 0.1577647,
NaN, NaN, NaN, NaN, 0.2956429, NaN, NaN)), .Names = c("V1", "V2"
), class = "data.frame", row.names = c("1", "2", "3", "4", "5",
"6", "7", "8", "9", "10"))
idx <- cumsum(!is.nan(dat$V2)) * rev(cumsum(rev(!is.nan(dat$V2)))) != 0
dat[idx, ]
Hope this helps,
Rui Barradas
Em 05-12-2012 10:46, Vasilchenko Aleksander escreveu:
Hello,
I have a dataframe
1 2006-11 NaN
2 2006-12 NaN
3 2006-10 0.1577647
4 2006-11 NaN
5 2006-12 NaN
6 2007-01 NaN
7 2007-02 NaN
8 2007-03 0.2956429
9 2007-01 NaN
10 2007-02 NaN
I need to trim first and last NaN rows
Result -
1 2006-10 0.1577647
2 2006-11 NaN
3 2006-12 NaN
4 2007-01 NaN
5 2007-02 NaN
6 2007-03 0.2956429
Thanks.
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
