# TBATS Analysis done- how can I use the results to forecast? [closed]

This is a follow up to my question here. I've spent some time refining my data at work, and after deciding to go with the TBATS model, I'd like to generate a forecast value.

Here's my code so far:

> library(forecast)
> tbats_model = tbats(=v01$Units, seasonal.periods = 12) > tbats_model TBATS(1, {0,0}, 0.876, {<12,4>}) Call: tbats(y = v01$Units, seasonal.periods = 12)

Parameters
Alpha: 0.2368047
Beta: -0.03752523
Damping Parameter: 0.87555
Gamma-1 Values: -2.291151e-05
Gamma-2 Values: 0.0001845991

Seed States:
[,1]
[1,]  7.62233435
[2,]  0.13206172
[3,] -0.25982157
[4,] -0.09500239
[5,] -0.11444555
[6,] -0.10093089
[7,]  0.01024328
[8,] -0.04703836
[9,] -0.03714637
[10,] -0.08204049

Sigma: 0.2195671
AIC: 57.93646


Now that I have this output, I'd like to actually forecast the next month (each point in my time series corresponds to a month, so I assume that each subsequent point also corresponds to a month).

Here's where my question arises: when I execute the following,

> forecast(tbats_model, h = 1)
Point Forecast    Lo 80    Hi 80    Lo 95    Hi 95
Jun 4       8.855421 8.574035 9.136808 8.425078 9.285765


I become a little puzzled- why is the forecast for June 4th? Shouldn't it be for June 2017? Did I ask for the prediction correctly?

tbats_model <- tbats(ts(v01\$Units, start=c(2016,1), f=12))