You are probably under Windows. The Menu to install from local zip files implies you specify a precompiled binary package.

Uwe Ligges



On 24.06.2010 06:12, vijaysheegi wrote:

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+2263915-1199101214-288...@n4.nabble.com<ml-node%2b2263915-1199101214-288...@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)

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