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  3. Manipulating Time Series Data in R

Exercise

Updating and replacing indices

The data stored in the index of a time series, as well as the core data, can be retrieved and manipulated as a vector in R. While the index attribute is usually a date or time, it can be a vector of unique values of any class, such as character or numeric.

In this exercise, you'll manipulate the time series coffee_2000s and coffee_2010s, which represent the average daily prices of coffee during the 2000s and 2010s, respectively.

Using lubridate and zoo, you'll manipulate and update the index of coffee_2000s, which is formatted in a day-month-Year format.

Instructions 1/4

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  • Retrieve the index of coffee_2000s and assign it to the object index_2000s.