I have built a time series model in R for Quarterly data.

Data:

*year Qtr1 Qtr2 Qtr3 Qtr4*

**2017** 21000 22000 17000 19000

**2018** 20000 22000 18000 19000

**2019** 32000 30000 28000 26000

**2020** 25000 23000 24000 27000

**2021** 40000 12000

For year 2021 we have Qtr 1 and Qtr 2 data with totals. Qtr 1 is full quarter data whereas Qtr2 is 30 days of Q2 data.

Using this 30 days data I need to predict the entire Q2 results. What will be end value of that Q2.

I tried Holt winters

```
t_data<-ts(mydata1_subset$total,frequency = 4,start = c(2016,1),end = c(2021,2))
t_data_timeseries_hw <- hw(t_data,seasonal="additive",
initial = c("optimal", "simple"), level = .95)
```

The result prediction am getting is from Q3 , Q4 etc..,But I need to get the prediction from Q2 and goes like Q3,Q4... is their a way to achieve this, any help would be greatly appreciated