Hello, Nerak,
maybe
rbind( NA, head( results, -1))
does what you want (for all columns at once)?
Hth,
Gerrit
On Wed, 18 Jan 2012, Nerak wrote:
Dear all,
I have a question concerning manipulating data of several columns of a
dataframe at the same time. I manage to do it for one column (with the
use of the specific name for this column). In each columns, I have 60
values. But I should reorganize the values (because I created this as an
output before and I want to compare it with an other dataset). I want
that the value on row 2 becomes the value of row 1, value 3 value 2 and
so on. The first value would be NA.
If I would do this for 1 column (with the name depth_1), I would do it
like this:
for (t in 2:60)
{
results$depth[t]<-new$depth_1[t-1]
}
[ ... snip ... ]
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