tbats | BATS and TBATS forecasting methods | Time Series Database library

I'm relatively new to using reactive expressions with Shiny. My problem is: I find myself having to create lots of reactive expressions with almost the exact same code but with different additional lines just to output something different (i.e., when I call the reactive expression).

For example, in the following code, I create 3 reactive expressions: p(), which outputs a plot, best() which, from a given list of selected models, indicates the one with the lowest error in the test set, and finally results(), which outputs the RMSE and MAPE error metrics in the test set for each of the selected models.

As you can see below, the code is almost identical except for the last lines in each reactive expression. So, my question is, how can I access variables I created within a reactive expression? For example, how do I access holt_forecast_11, ets_forecast_11, arima_forecast_11, and tbats_forecast_11 after I create the p() reactive expressions? How do I call those variables within another reactive expression?

If you need any more details I will gladly provide them.

Here's my code from the server.R file. Below this code, I provide ui.R just in case, although my question is only related with server.R:

I have used the TBATS model on my data and when I apply the forecast() function, it automatically forecasts two years in the future. I haven't specified any training set or testing set, so how do I know how much data it used to predict the next two years?

The data I'm dealing with is Uber travel times data from Jan 2016 to Jan 2020. I have daily data (sampling frequency = 1) for 18 cities and each city has a different sample size (they range from 1422 days to 1459 days).

I have set the vector of travel times as an msts object, for it has multiple seasonality, which is used by the TBATS model.

When I calculate RMSE, MAE, MAPE and MSE, I get very low values in general, so how can I know which data TBATS is training on?

Here is my code:

I have the following plot with true values (black line), fitted values (orange line) and forecasts (blue line).

If you notice on the right, the fitted values line says NULL. How can I change that to "Fitted Values"?. Also, why does it say "series on top"? How can I change that as well?

Here s my code:

I have one table. With this table I want to plot bar plot.So below you can see data:

I am trying to do a daily forecast.However i need to pull out the forecast in a data frame. But i am not able to check with my test data for validation and finally combine with the actual vs the forecast and besides the show the forecast too in a data frame.Below the train data: