<table cellspacing="0" cellpadding="0" border="0" ><tr><td valign="top" style="font: inherit;"><DIV>Dear Stephan,</DIV>
<DIV> </DIV>
<DIV> Thanks for your help. I've tried the toolbox, and test my data using both Augmented Dickey Fuller (ADF) and KPSS method, but the results are inconsistent. ADF'result is the data is not stationary, but KPSS'result is stationary. Have you met problem as this?</DIV>
<DIV> </DIV>
<DIV> </DIV>
<DIV>Best,</DIV>
<DIV> </DIV>
<DIV>Weina</DIV>
<DIV> </DIV>
<DIV> </DIV>
<DIV>--- <B>11年10月31日,周一, smoratti@psi.ucm.es <I><smoratti@psi.ucm.es></I></B> 写道:<BR></DIV>
<BLOCKQUOTE style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: rgb(16,16,255) 2px solid"><BR>发件人: smoratti@psi.ucm.es <smoratti@psi.ucm.es><BR>主题: Re: [FieldTrip] Is there a function for testing time series stationary or not?<BR>收件人: "Email discussion list for the FieldTrip project" <fieldtrip@donders.ru.nl><BR>日期: 2011年10月31日,周一,下午10:21<BR><BR>
<DIV id=yiv233604059>
<DIV>Dear Weina,
<DIV><BR></DIV>
<DIV>Try this toolbox: <A href="http://www.informatics.sussex.ac.uk/users/anils/aks_code.htm" target=_blank rel=nofollow>http://www.informatics.sussex.ac.uk/users/anils/aks_code.htm</A></DIV>
<DIV><BR></DIV>
<DIV>There several easy to use tests for covariance stationarity.</DIV>
<DIV><BR></DIV>
<DIV>Best,</DIV>
<DIV><BR></DIV>
<DIV>Stephan</DIV>
<DIV><BR>
<DIV>
<DIV>El 31/10/2011, a las 14:15, 李卫娜 escribió:</DIV><BR class=yiv233604059Apple-interchange-newline>
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<DIV>Dear all,</DIV>
<DIV> </DIV>
<DIV>Is anybody knows wether there is a function in fieldtrip for testing the data epochs' stationeriness, since estimating AR models in causality connectivity analysis requiered that data should be stationary.</DIV>
<DIV> </DIV>
<DIV>Best regards.</DIV>
<DIV> </DIV>
<DIV> </DIV>
<DIV>Weina</DIV>
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