
Hi ,
i am trying to install tseries packages from local drive.i am getting
.Please advise

I am getting this errror
Please advise

> utils:::menuInstallLocal()
Error in gzfile(file, "r") : cannot open the connection
In addition: Warning message:
In gzfile(file, "r") :
  cannot open compressed file 'timeSeries/DESCRIPTION', probable reason 'No
such file or directory'
>


On 6/22/10, Gabor Grothendieck [via R] <
ml-node+2263915-1199101214-288333@n4.nabble.com<ml-node%2B2263915-1199101214-288333@n4.nabble.com>>
wrote:
>
> Try this:
>
> library(forecast)
> f <- forecast(DF[,3]); f
> plot(f)
>
>
> On Tue, Jun 22, 2010 at 4:14 AM, vijaysheegi <[hidden email]<http://user/SendEmail.jtp?type=node&node=2263915&i=0>>
> 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<http://r.789695.n4.nabble.com/which-model-suits-for-these-kind-of-data-tp2263782p2263782.html?by-user=t>
> > Sent from the R help mailing list archive at Nabble.com.
> >
> > ______________________________________________
> > [hidden email] <http://user/SendEmail.jtp?type=node&node=2263915&i=1>mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
>
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>


-- 
vijayamahantesh

-- 
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