I have a times series for temperature and I am trying to decompose it into a
seasonal + trend + stochastic process
to look at what model would fit for the stochastic process.
However, I only have data for 333 days, and I assume my data should include a periodic phenomena, with the period being one year, or 365 days. How can I eliminate the trend and seasonal component when I don't have data for the entire assumed period? Is there a way to implement the method in R?
Here is the series http://www.wikiupload.com/XD5FHJFC7S857MG
EDIT: Plot of this data by @Penguin_Knight