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Interpreting ARIMA for ITSAInterrupted Time Series Analysis

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I want to test for efficacy of an intervention. I have pre- and post-intervention data and I used auto.arima to find the best fit for the two data sets.

I'm stuck in the actual use of these models now. What do I do with the auto.arimaauto.arima fit? Can I graph it and test for statistically significant differences in the coefficients? If so, how do I graph it?

This is what I have right now ( specified from auto.arima)

myPreFit<-arima(myPre,order=c(0,1,0))

myPostFit<-arima(myPost,order=c(1,0,1))

I want to test for efficacy of an intervention. I have pre- and post-intervention data and I used auto.arima to find the best fit for the two data sets.

I'm stuck in the actual use of these models now. What do I do with the auto.arima fit? Can I graph it and test for statistically significant differences in the coefficients? If so, how do I graph it?

This is what I have right now ( specified from auto.arima)

myPreFit<-arima(myPre,order=c(0,1,0))

myPostFit<-arima(myPost,order=c(1,0,1))

I want to test for efficacy of an intervention. I have pre- and post-intervention data and I used auto.arima to find the best fit for the two data sets.

I'm stuck in the actual use of these models now. What do I do with the auto.arima fit? Can I graph it and test for statistically significant differences in the coefficients? If so, how do I graph it?

This is what I have right now ( specified from auto.arima)

myPreFit<-arima(myPre,order=c(0,1,0))

myPostFit<-arima(myPost,order=c(1,0,1))

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