[R] Forecasting tutorial "Basic Forecasting"
Bill Poling
Bill@Poling @ending from zeli@@com
Tue May 15 20:08:57 CEST 2018
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
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