Thanks! I've never come across 'while' before and it's perfect.
On Mar 15 2011, Jonathan P Daily wrote:
?"while"
You don't want a for loop. You need a while loop.
--------------------------------------
Jonathan P. Daily
Technician - USGS Leetown Science Center
11649 Leetown Road
Kearneysville WV, 25430
(304) 724-4480
"Is the room still a room when its empty? Does the room,
the thing itself have purpose? Or do we, what's the word... imbue it."
- Jubal Early, Firefly
r-help-boun...@r-project.org wrote on 03/15/2011 10:14:21 AM:
[image removed]
[R] indeterminate for loop
lm609
to:
r-help
03/15/2011 10:16 AM
Sent by:
r-help-boun...@r-project.org
Hello,
I have written a 'for' loop which on the first run makes nearest
neighbour
calculations for my dataset 'A' in relation to dataset 'B', then based
on
these results, some of the rows from A are moved into dataset B, and the
calculation is repeated on the remaining rows in A. Therefore a smaller
and
smaller amount of data is analysed as the loop proceeds, since A is
losing
rows each time. The results of the calculation change as less data is
used,
but not in a predictable way, therefore the end point of the loop is
indeterminate.
The script is long and the datasets big, but a simplified example where
'A'
and 'B' are datasets, and the function 'ndist2' calculates 'x' is...
for (i in 1:100)
{
C <- data.frame(ndist2(B,A))
C1 <- subset(C, x = min(C$x))
B <- rbind(B, C1)
A <- subset(C, x > min(C$x))
}
So eventually A runs out.
Currently, I let the loop run until a warning comes up which effectively
says no more data, and at this point it is finished.
What I would now like to do is place this loop inside another loop in
order
to run through multiple datasets, but I can't do this when the script
produces a warning message at the end of each dataset.
Is there any way I can overcome this problem?
Thanks for your help,
Louise
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and provide commented, minimal, self-contained, reproducible code.
