yes,but i want AIC value to calculate for below value, using frequency =1 in ts() function >t -0.15264004 0.056076439 -0.07276116 -0.00917326 -0.02069089 -0.00416232 -0.07225855 -0.02654577 -0.06131410 -0.09380202 0.057414014 -0.05239976 0.014397612 0.016145161 -0.00670587 0.018696335 0.036943654 -0.02450233 0.031161705 0.006513503 -0.02892329 -0.00831519 -0.00877744 -0.00634399 -0.02612019 -0.02531800 -0.01435533 0.011148840 -0.01893775 0.029859128 0.029878797 -0.00125987 0.031404385 0.035127606 -0.00191775 0.059797202 -0.03268047 -0.06026960 -0.02216465 -0.08145612 -0.02772806 -0.03171683 -0.02842562 -0.11807898 -0.01457311 -0.12612482 0.409631265 -0.06375234
in short, i want to know which is best model if i have this type of vectors(t) 200,each having 400 observations at respective time i.e. 1,2,3,4.....400 -- View this message in context: http://r.789695.n4.nabble.com/how-to-find-best-model-of-time-series-tp4469296p4471664.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
