Hi
I presume your data frames are not big. What about merging them by hour and
comparing appropriate columns?
something like
windMerged-merge(windHW, spring, by = hour, all=TRUE)
sel - which(windMerged[, xx] = windMerged[,yy])
windMerged[sel, xx] - NA
Untested because lack of data.
Cheers
Hello,
I have a large dataframe (windHW) of wind speeds (ws) at each hour
from many days over a set of years. Some of these values are
obviously wrong (600 m/s) and I want to get rid of all the values that
are larger than 5*sigma for each hour. The 5*sigma (variable name
sigma5) values are
Update:
I have this so far. * The first column of windHW is the wind speed.
The 5th column of the dataframe, spring, is the 5*sigma value of every
hour. hourRow gives out all the rows of wind speed at a given hour.
for (i in 0:23){
hourRow = which(windHW$hour==i,arr.ind=TRUE)
for (h in
Hi Alexandra,
The error probably comes from the first iteration of i in 0:23. As indexing
in R begins at 1, there is no element 0. Try using:
for(i in 1:24) {
...
and see what happens.
Jim
On Sat, Apr 11, 2015 at 7:06 AM, Alexandra Catena amc5...@gmail.com wrote:
Update:
I have this so
Hi Jim,
Thanks for the response, but unfortunately it results in the same
error. I think it is something wrong with the if statement. I tried
it out manually for the first row and hour that it's testing and
indeed, the wind speed is not higher than the 5*sigma value. Since it
is not higher
Hi Alexandra,
I answered too quickly. Your response made me look for a deeper error: The
value of i doesn't matter, as it isn't being used as an index. However, the
first value of i=0 may cause the error in the second loop, where h is used
as an index.
for (i in 0:23){
hourRow =
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