I am new to time series ananlysis, I tried first to decompose my data using decompose function in R. Hope I get a stationary data in teh random obtained, I planning to fit an ARIMA model to it.

But when I plot the ACF and the PACF ofthe random error obtained from decomposing I got teh foloowing autocorrelogram plots: [![enter image description here][1]][1]

I am not able to detetrmine from thses plots the nature ofthe obtained error, and the order of teh ARIMA model that I shoudl use.

Would some one help me in analysing the obtaiend plots. I would prefer if there is a reference ( book, paper, link..) that could help me.

Thank you in adavnce. [1]: https://i.sstatic.net/VUbfe.jpg

I am new to time series analysis, I tried first to decompose my data using the decompose function in R, hoping I'd get a stationary data in the random obtained. I'm planning to fit an ARIMA model to it.

But when I plot the ACF and the PACF of the random error obtained from decomposing I got the foloowing correlogram plots:

I am not able to determine from these plots the nature of the obtained error, and the order of the ARIMA model that I should use.

Would someone help me in analysing the obtained plots? I would prefer if there is a reference (book, paper, link..) that could help me.