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I am a self learner, and even I am new to R, I have some data and I am trying to do time series analysis in R.

I first tried to do an auto.arima fit to the data. I would liek to check if the obained arima model is good enough or not. I did not check the stationarity of my data before doing the fit.

As I read, to check the arima model, you can keep some data points and try to forecast them using the obtaiend ARIMA model. Or you can check the residuals. In both cases I am mnot sure how to do this in R. Even I am not sure if this si the right way to go with time series analysis.

I would be very thankful if any can help me, provinding me some specific references in this context.

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closed as off-topic by mkt - Reinstate Monica, user158565, mdewey, Michael R. Chernick, Peter Flom - Reinstate Monica Jun 26 at 11:10

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https://autobox.com/pdfs/ARIMA%20FLOW%20CHART.pdf presents the approach to analyzing univariate time series. It is an iterative , self-checking process that is similar to peeeling an onion back in order to get to a guassian process . It is the process of separating signal and noise .

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