[R] which model suits for these kind of data
Gabor Grothendieck
ggrothendieck at gmail.com
Tue Jun 22 12:39:58 CEST 2010
Try this:
library(forecast)
f <- forecast(DF[,3]); f
plot(f)
On Tue, Jun 22, 2010 at 4:14 AM, vijaysheegi <vijay.sheegi at 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 at 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.
>
More information about the R-help
mailing list