Abstract
A common task in data analysis is dealing with missing values. In R, missing values are often represented by NA or some other value that represents missing values (i.e. 99). We can easily work with missing values and in this chapter I illustrate how to test for, recode, and exclude missing values in your data.
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© 2016 Springer International Publishing Switzerland
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Boehmke, B.C. (2016). Dealing with Missing Values. In: Data Wrangling with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-45599-0_14
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DOI: https://doi.org/10.1007/978-3-319-45599-0_14
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45598-3
Online ISBN: 978-3-319-45599-0
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