which model suits for these kind of data

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which model suits for these kind of data

vijaysheegi
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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Re: which model suits for these kind of data

Gabor Grothendieck
Try this:

library(forecast)
f <- forecast(DF[,3]); f
plot(f)


On Tue, Jun 22, 2010 at 4:14 AM, vijaysheegi <[hidden email]> 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.
>
> ______________________________________________
> [hidden email] 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.
>

______________________________________________
[hidden email] 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.
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Re: which model suits for these kind of data

vijaysheegi
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] <[hidden email]> wrote:
Try this:

library(forecast)
f <- forecast(DF[,3]); f
plot(f)


On Tue, Jun 22, 2010 at 4:14 AM, vijaysheegi <<a onclick="return top.js.OpenExtLink(window,event,this)" href="http://user/SendEmail.jtp?type=node&amp;node=2263915&amp;i=0" target="_blank" rel="nofollow">[hidden email]> 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: <a onclick="return top.js.OpenExtLink(window,event,this)" href="http://r.789695.n4.nabble.com/which-model-suits-for-these-kind-of-data-tp2263782p2263782.html?by-user=t" target="_blank" rel="nofollow" link="external">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.
>
> ______________________________________________
> <a onclick="return top.js.OpenExtLink(window,event,this)" href="http://user/SendEmail.jtp?type=node&amp;node=2263915&amp;i=1" target="_blank" rel="nofollow">[hidden email] mailing list
> <a onclick="return top.js.OpenExtLink(window,event,this)" href="https://stat.ethz.ch/mailman/listinfo/r-help" target="_blank" rel="nofollow" link="external">https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide <a onclick="return top.js.OpenExtLink(window,event,this)" href="http://www.r-project.org/posting-guide.html" target="_blank" rel="nofollow" link="external">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 <a onclick="return top.js.OpenExtLink(window,event,this)" href="http://www.r-project.org/posting-guide.html" target="_blank" rel="nofollow" link="external">http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.



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--
vijayamahantesh
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Re: which model suits for these kind of data

Uwe Ligges-3
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]<
> [hidden email]<ml-node%[hidden email]>>
> 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.
>>>
>>
>> ______________________________________________
>> [hidden email]<http://user/SendEmail.jtp?type=node&node=2263915&i=2>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.
>>
>>
>> ------------------------------
>> View message @
>> http://r.789695.n4.nabble.com/which-model-suits-for-these-kind-of-data-tp2263782p2263915.html
>> To unsubscribe from which model suits for these kind of data, click here<  (link removed) =>.
>>
>>
>>
>
>

______________________________________________
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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.