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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.

This exercise is part of the course

Manipulating Time Series Data in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Assign the index to index_2000s
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