tag:blogger.com,1999:blog-5049613389055921243.post5596767214865431820..comments2024-03-05T16:42:05.992+05:30Comments on We think therefore we R: Measuring persistence in a time series : Application of rolling window regressionShreyeshttp://www.blogger.com/profile/02952702110986035135noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-5049613389055921243.post-54483758003009768762023-08-19T01:52:53.290+05:302023-08-19T01:52:53.290+05:30pusulabet
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is there any way out to do the same analysis...hi ,<br /><br />is there any way out to do the same analysis in SAS?Unknownhttps://www.blogger.com/profile/11341824978915997824noreply@blogger.comtag:blogger.com,1999:blog-5049613389055921243.post-21848113029598524422012-07-26T11:09:23.495+05:302012-07-26T11:09:23.495+05:30Thank you for you comment.
The regression that I ...Thank you for you comment.<br /><br />The regression that I am doing is not what is really bothering me, I would like to know if I can work with the values without using the window() function. The lags() function did not give me what I wanted, so I had to manually code it using window().<br /><br />But I will try and use the xts() for the timeseries plot. <br /><br />Thanks,<br />ShreyesShreyeshttps://www.blogger.com/profile/02952702110986035135noreply@blogger.comtag:blogger.com,1999:blog-5049613389055921243.post-23614805482409399272012-07-26T06:21:41.079+05:302012-07-26T06:21:41.079+05:30try defining the regression to get the relevant va...try defining the regression to get the relevant values you want in a function and then use that function in rollapply(), should make your code significantly neater without using all the for loops...also upgrade to xts objects for better timeseries plots...Anonymousnoreply@blogger.com