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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Converting the dataframe to a time series object

As a preparation step, we will use the ts function to convert our dataframe to a time series object. It is important that the time series be equally spaced before converting to a ts object. At a minimum, you supply the time series variable, and start and end dates as arguments to the ts function.

After creating a new object, x, run a str() function to verify that all of the 14 time series from 1999 to 2012 have been created:

# only extract the 'ALL' timeseriesx <- ts(x2$Not.Covered.Pct[1:14], start = c(1999), end = c(2012), frequency = 1)str(x) >  Time-Series [1:14] from 1999 to 2012: 0.154 0.157 0.163 0c.161 0.149 ... 
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Publisher Resources

ISBN: 9781785886188Supplemental Content