Your question is really vague and it is hard to guess what you are
after. And the possible answer is that a huge variety of methods exist,
all designed for specific questions (that you did not specify). How
about fourier transform?
?fft()
Or SSA?
library(simssalabim)
Or the Hewitt test?
I would advice you to read some introductory text on time series
analysis and try to get a clearer picture of your problem. And then
decide for a technique and chances are high that it is implemented in R
Jannis
vikrant schrieb:
I have a hourly time series and I am interested in finding presence of
seasonality in this data. I know one method of finding seasonality using
autocorrelation function(ACF). But I dont want to use any graphical
technique. I want to know is there any theorotical method using R which can
be helpful ? Also the method should give period of seasonality.
Thanks,
Vikrant
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.