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
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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