As I said before: please dput() some working data and I'll try to work
something up.
Without it, the only thing I can reasonably suggest is that perhaps
you are looking for the window() function to be applied before
min/max. Something like:
X - ts(1:48, start = 1, frequency = 4)
Y - ts(1:12,
Hello Michael,
Thanks again for your reply. Actually, I am working with wind data.
I have some sample data for actual load.
scan(/home/sam/Desktop/tt.dat) -tt ## This is the input for the actual
output of the generation
t = ts(tt, start=8, end=24, frequency=1,)
I have another random sequence
Hello,
Can you please help me with this? I am also stack in the same problem.
Sam
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It's not clear what it means for the differences to be of increasing
order but if you simply mean the differences are increasing, perhaps
something like this will work:
library(caTools)
X = cumsum( 2*(runif(5e4) 0.5) - 1) # Create a random Walk
Y = runmean(X, 30, endrule = mean, align = right)
Hello Michael,
Thanks for your reply. What I want to do is something like this? For
example, I have a continuous time series y=x(t), and another discrete time
series z=w(t).
Xdiff(i)=Max. difference between x(t) and w(t) in interval i
Ndiff(i)=Min. difference between x(t) and w(t) in interval
Can you post working examples of your data using the dput() function?
There are so many types of time series in R and so many different
things you could mean that it's just easier to work with real data.
Michael
On Tue, Nov 15, 2011 at 4:28 PM, Sarwarul Chy sarwar.sha...@gmail.com wrote:
Hello
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