A comprehensive time series diagnostic (2)
To allow a quick and efficient diagnostic, it is often more convenient to display the four charts above on the same graphical window.
In this exercise, you will put all the charts you created from the previous exercise onto one graphical window.
This exercise is part of the course
Visualizing Time Series Data in R
Exercise instructions
- Set up the graphical window with 2 rows and 2 columns
- Recreate the plots from the previous exercise (this has been done for you)
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Set up 2x2 graphical window
# Recreate all four plots
hist(rtn, probability = TRUE)
lines(density(rtn), col = "red")
boxplot(rtn)
acf(rtn)
qqnorm(rtn)
qqline(rtn, col = "red")