R Tutorial: Basic time series objects
Key Takeaways
The video demonstrates how to create and work with basic time series objects in R using the TS function, covering topics such as time indices, plotting, and checking the class of an object.
Full Transcript
a time series is more than a vector of numbers it also includes the time indices for each observation given a vector of numbers you can apply the TS function to create a time series object such objects are of the TS class they represent data that is at least approximately evenly spaced over time consider the following data vector which has just eight observations to make this vector a time series object you apply the TS function when you plot the result using the plot function the time index and label is automatically added to the horizontal axis by default our uses a simple observation index starting from 1 as the time index if you want the time series to start in the year 2001 with one observation per year you should apply the TS function with the additional arguments start equal 2001 and frequency equal 1 as shown now when you plot the result you can see an updated time access running from 2001 through 2008 you can use the function is dot TS to check whether a given object is a time series as you can see it reports false for the data vector and true for the time series that were just created remember why do you want to create and work with time series objects of the TS class there are many methods and functions available for utilizing time series attributes especially for plotting and for accessing time index information and as we will see in later chapters for estimating time series models and for making forecasts now let's practice with some exercises
Original Description
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A time series is more than a vector of numbers, it also includes the time indices for each observation.
Given a vector of numbers you can apply the ts() function to create a time series object. Such objects are of the `ts` class. They represent data that is at least approximately evenly spaced over time.
Consider the following data_vector which has just eight observations.
To make this vector a time series object you apply the ts() function
When you plot the result using the plot() function the time index and label is automatically added to the horizontal axis. By default, R uses a simple observation index starting from 1 as the time index.
If you want the time series to start in the year 2001 with 1 observation per year you should apply the ts() function with the additional arguments start = 2001 and frequency = 1 as shown. Now when you plot the result you can see an updated time axis, running from 2001 through 2008.
You can use the function is.ts() to check whether a given object is a time series. As you can see, it reports FALSE for the data_vector and true for the time_series that were just created.
Remember: why do you want to create and work with time series objects of the ts class?
There are many methods and functions available for utilizing time series attributes, especially for plotting and for accessing time index information. And as we will see in later chapters, for estimating time series models and for making forecasts.
Now let's practice with some exercises!
#DataCamp #RTutorial #TimeSeries #Analysis
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