Using Rstudio

1. Use the help function to explore what the series gold, woolyrnq and gas represent.

1. Use autoplot() to plot each of these in separate plots.
2. What is the frequency of each series? Hint: apply the frequency() function.
3. Use which.max() to spot the outlier in the gold series. Which observation was it

2. Use the following graphics functions: autoplot(), ggseasonplot(), ggsubseriesplot(), gglagplot(), ggAcf() and explore features from the following time series: hsales, usdeaths, bricksq, sunspotarea, gasoline.

• Can you spot any seasonality, cyclicity and trend?
• What do you learn about the series?

3. The arrivals data set comprises quarterly international arrivals (in thousands) to Australia from Japan, New Zealand, UK and the US.

• Use autoplot(), ggseasonplot() and ggsubseriesplot() to compare the differences between the arrivals from these four countries.
• Can you identify any unusual observations?

4.

The following time plots and ACF plots correspond to four different time series. Your task is to match each time plot in the first row with one of the ACF plots in the second row.

3. Monthly alr passengers 4. Annual mlnk trapplngs 1. Dally temperature of cow 2. Monthly accldental deaths 600 - 90 80- 10- 400 - 3 60- 60 200- 30 40- 1860 1880 1900 1978 1950 1952 1954 1956 1958 1960 40 60 1974 1976 20 1.0 1.0 1.0 1.0 0.5- 0.5- 0.5- 0.5- 0.0 0.0 0.0 0.0 12 18 24 10 15 10 15 12 18 24 3. Monthly alr passengers 4. Annual mlnk trapplngs 1. Dally temperature of cow 2. Monthly accldental deaths 600 - 90 80- 10- 400 - 3 60- 60 200- 30 40- 1860 1880 1900 1978 1950 1952 1954 1956 1958 1960 40 60 1974 1976 20 1.0 1.0 1.0 1.0 0.5- 0.5- 0.5- 0.5- 0.0 0.0 0.0 0.0 12 18 24 10 15 10 15 12 18 24