I have a time series with 1100 rows of data and am getting contradicting results from these tests:1) My ACF and PACF plots have lot of lags and upon looking visually, it looks as if the series in not-stationary.2) But when I do the ADF test with with lag=30, I reject the null and conclude that series is stationary.3) When I do the ADF with 100 lags, I end up accepting the null and have to interpret that series is non stationary.Which one shall I choose here ? What is the correct way to go about in these situations. -- View this message in context: http://r.789695.n4.nabble.com/Contradicting-results-on-stationary-test-tp4687790.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]