Site icon R-bloggers

Intro To Time Series Analysis Part 2 :Exercises

[This article was first published on R-exercises, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.


In the exercises below, we will explore more in Time Series analysis.The previous exercise is here,Please follow this in sequence
Answers to these exercises are available here.

Exercise 1

load the AirPassangers data,check its class and see the start and end of the series .

Exercise 2
check the cycle of the TimeSeries AirPassangers .

Exercise 3

create the lagplot using the gglagplot from the forecast package,check how the relationship changes as the lag increases

Exercise 4

Also plot the correlation for each of the lags , you can see when the lag is above 6 the correlation drops and again climbs up in 12 and again drops in 18 .
Exercise 5

Plot the histogram of the AirPassengers using gghistogram from forecast

Exercise 6

Use tsdisplay to plot autocorrelation , timeseries and partial autocorrelation together in a same plot

Exercise 7

Find the outliers in the timeseries .

Related exercise sets:

  1. 3D plotting exercises
  2. Vector exercises
  3. Bayesian Inference – MCMC Diagnostics using coda : Exercises
  4. Explore all our (>1000) R exercises
  5. Find an R course using our R Course Finder directory

To leave a comment for the author, please follow the link and comment on their blog: R-exercises.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.