Try this: library(forecast) f <- forecast(DF[,3]); f plot(f)
On Tue, Jun 22, 2010 at 4:14 AM, vijaysheegi <vijay.she...@gmail.com> wrote: > > Hi , > please help me which model is helpful for forecasting giving following > inputs (inputs are not linear) > > sales date shopnuber total 20%profit 10%profit > 2009-10-03 1 41891 2863 39028 > 2009-10-04 1 49152 7588 41564 > 2009-10-05 1 45804 23543 22261 > 2009-10-06 1 48395 48371 24 > 2009-10-07 1 48906 20204 28702 > 2009-10-08 1 47003 19442 27561 > 2009-10-09 1 46296 21635 24661 > 2009-10-10 1 45980 34791 11189 > 2009-10-11 1 48423 1483 46940 > 2009-10-12 1 48800 18500 30300 > 2009-10-13 1 40694 22068 18626 > 2009-10-14 1 47356 42361 4995 > 2009-10-15 1 41501 15964 25537 > 2009-10-16 1 44762 42296 2466 > 2009-10-17 1 48607 12023 36584 > 2009-10-18 1 47513 28275 19238 > 2009-10-19 1 44527 7927 36600 > 2009-10-20 1 43948 17981 25967 > 2009-10-21 1 43139 17682 25457 > 2009-10-22 1 42426 24454 17972 > 2009-10-23 1 43620 1689 41931 > 2009-10-24 1 40850 28595 12255 > 2009-10-25 1 41665 10339 31326 > 2009-10-26 1 46151 41662 4489 > 2009-10-27 1 41355 30207 11148 > > > > With this data how to predict total sales for further 6 days.Someone please > help .(if we get totals sales we can obntain 20% and 10% profit) > > -- > View this message in context: > http://r.789695.n4.nabble.com/which-model-suits-for-these-kind-of-data-tp2263782p2263782.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. > ______________________________________________ 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.
