Instead of

Tsp = c(2016, 2018, 12)

try

Tsp = c(2016, 2018.25, 12)

Hence, you can specify the object as

structure(c(5973156.76, 5159011.2, 6695766.64, 6365359, 6495218.53,
7226302.39, 6835272.7, 7383501.57, 6962748.19, 7623278.72, 7274994.33,
7919421.8, 7360740.81, 7436693.35, 8545765.55, 7337269.76, 8180585.44,
8376635.05, 7758261.24, 10374641.22, 8000314.11, 9114958.9, 9805149.15,
9336939.45, 10273849.1, 9159308.71, 10184703.33, 10251153.52,
-52340.21, -90911.29, -90135.33, -147196.03, -112831.26, -99443.31,
-72584.09, -161869.48, -117805.41, -81102.39, -175379.25, -190596.12,
-110838.08, -127953.99, -129414.01, -131570.11, -28814.27, -63066.4,
-134587.17, -27610.96, -169293.37, -144034.7, -193376.36, -135743.08,
-151767.63, -156816.35, -113074.01, -160705.61, -700973.75, -891171.15,
-805670.71, -821222.02, -1078184.45, -980080.81, -786506.89,
-1244278.5, -1392779.81, -1186436.41, -1108016.28, -1201663.88,
-1163848.16, -1028830.6, -1507572.01, -1210422.01, -1529691.9,
-1207461.55, -1615971.18, -978028.1, -1354515.28, -1624270.48,
-1596204.33, -1836731.26, -1310376.81, -1337718.49, -1492220.98,
-1421801.16), .Dim = c(28L, 3L), .Dimnames = list(NULL, c("TotalNetRev",
"TotalRevAdjusted", "TotalRevCancelled")), .Tsp = c(2016, 2018.25,
12), class = c("mts", "ts", "matrix"))

You were correct that the error was because of 28 time-points. This is
the fix for it.

Huzefa

On Tue, May 15, 2018 at 2:08 PM, Bill Poling <bill.pol...@zelis.com> wrote:
> Hi. I am trying to follow this forecasting tutorial at: 
> https://www.r-bloggers.com/basic-forecasting/
>
> Using my own data, I cannot get past the first step, lots of laughs.
>
> dat3 <- structure(c(5973156.76, 5159011.20,  6695766.64,  6365359.00,  
> 6495218.53,  7226302.39,  6835272.70,  7383501.57,  6962748.19,  7623278.72,  
> 7274994.33
>                     ,7919421.80,  7360740.81,  7436693.35, 8545765.55,  
> 7337269.76,  8180585.44,  8376635.05,  7758261.24, 10374641.22,  8000314.11,  
> 9114958.90
>                     ,9805149.15,  9336939.45, 10273849.10,  9159308.71, 
> 10184703.33, 10251153.52
>                     ,-52340.21,  -90911.29,  -90135.33, -147196.03, 
> -112831.26,  -99443.31,  -72584.09, -161869.48, -117805.41,  -81102.39, 
> -175379.25, -190596.12
>                     ,-110838.08, -127953.99, -129414.01, -131570.11,  
> -28814.27,  -63066.40, -134587.17,  -27610.96, -169293.37, -144034.70, 
> -193376.36, -135743.08
>                     ,-151767.63, -156816.35, -113074.01, -160705.61
>                     ,-700973.75,  -891171.15,  -805670.71,  -821222.02, 
> -1078184.45,  -980080.81,  -786506.89, -1244278.50, -1392779.81, -1186436.41, 
> -1108016.28
>                     ,-1201663.88, -1163848.16, -1028830.60, -1507572.01, 
> -1210422.01, -1529691.90, -1207461.55, -1615971.18,  -978028.10, -1354515.28, 
> -1624270.48
>                     , -1596204.33, -1836731.26, -1310376.81, -1337718.49, 
> -1492220.98, -1421801.16)
>                     ,.Dim = c(28L, 3L)
>                     ,.Dimnames = list(NULL, 
> c("TotalNetRev","TotalRevAdjusted" ,"TotalRevCancelled"))
>                     ,.Tsp = c(2016, 2018, 12)
>                    , class = c("mts", "ts", "matrix"))
>
> Error in attributes(.Data) <- c(attributes(.Data), attrib) :
>   invalid time series parameters specified
>
> I think the error may be due to 28 months of data, complete 2016 & 2017 but 
> only 4 months in 2018 and my Tsp is a value of 12? If so how would I adjust?
>
> I have googled a few references for the error, but the solution is not clear 
> to me.
> https://stackoverflow.com/questions/32369737/error-invalid-time-series-parameters-specified-in-backtesting-r-script
> http://r.789695.n4.nabble.com/How-to-setup-the-tsp-attribute-of-a-dataset-td908269.html
>
> Thanks for any advice.
>
> WHP
>
>
> Confidentiality Notice This message is sent from Zelis. ...{{dropped:15}}
>
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