Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)



  • How would you compare the results of the different models and forecasts to select the appropriate constraints?

  • In the initial plot of the river data, is there something that could be used to foresee the seasonality and/or trend immediately without breaking into components?

When, how, and why?

  • While the automated selection provided ARIMA values, how would you select the different parameters?

  • How would you decide on the different modeling techniques used for your dataset?


  • Several of the forecasts involved negative values for the river flow. How can that be avoided?

  • Either use a time series that you have available or find one that has the components addressed in the chapter and apply the analysis available in R.