Hi Paul,
It looks like the information that is printed is in:
TSModelForecast$mean
If str(TSModelForecast$mean) returns something like a list with two
components, you can probably use something like this:
paste(format(TSModelForecast$mean$Date,"%b-%Y"),
TSModelForecast$mean$Forecast,sep="-",collapse="\n")
It also might be in TSModelForecast$fitted
Jim
On Fri, Mar 17, 2017 at 5:34 AM, Paul Bernal <paulberna...@gmail.com> wrote:
> Dear friends,
>
> I am currently using R version 3.3.3 (64-bit) and used the following code
> to generate forecasts:
>
>> library(forecast)
>>
>> library(tseries)
>
> ‘tseries’ version: 0.10-35
>
> ‘tseries’ is a package for time series analysis and computational
> finance.
>
> See ‘library(help="tseries")’ for details.
>
>
>> DAT<-read.csv("TrainingData.csv")
>>
>> TSdata<-ts(DAT[,1], start=c(1994,10), frequency=12)
>>
>> TSmodel<-nnetar(TSdata)
>>
>> TSmodelForecast<-forecast(TSmodel, h=24)
>>
>> TSmodelForecast
>
> The problem is that the output comes in this fashion:
>
> Jan Feb Mar Apr May Jun Jul Aug
> Sep Oct
> 2017 10 20 15 40 9 8 21 21
> 19 18
> 2018 34 15 7 6 10 11
>
> The format I would like to have is the following:
>
> Date Forecast
> Jan-2017 10
> Feb-2017 20
> Mar-2017 15
> Apr-2017 40
> May-2017 9
> Jun-2017 8
> Jul-2017 21
> Aug-2017 21
> Sep-2017 19
> etc etc
>
> Is there a way to make the results look like this?
>
> Attached is a dataset as a reference.
>
> Best regards,
>
> Paul
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