Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)
Written by Matt Dancho on November 24, 2020
This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks.
Making multiple ARIMA Time Series models in R used to be difficult. But, with the
nest() function and
modeltime, forecasting has never been easier. Learn how to make many ARIMA models in this tutorial. Here are the links to get set up. 👇
What is Nest?
Nesting is a data frame reshaping tool that produces a “nested” structure.
The nested structure is super powerful for modeling groups of data. We’ll see how.
nest() out. With 3 lines of code, we turn an ordinary data frame into a nested data frame.
Unnested time series data with many groups of time series.
Nested Time Series Data that we can model!
ARIMA Modeling with Modeltime
So what can we do with a “Nested” Data Frame? How about making 7 ARIMA Forecasts!
And with a little extra work (thanks to my
Modeltime R Package), we can create this INTERACTIVE ARIMA FORECAST! 💥💥💥
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Here’s how to master R programming and become powered by R. 👇
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