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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
book

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

by Matt Wiley, Joshua F. Wiley
February 2019
Beginner to intermediate content levelBeginner to intermediate
649 pages
14h 32m
English
Apress
Content preview from Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
© Matt Wiley and Joshua F. Wiley 2019
Matt Wiley and Joshua F. WileyAdvanced R Statistical Programming and Data Modelshttps://doi.org/10.1007/978-1-4842-2872-2_9

9. Missing Data

Matt Wiley1  and Joshua F. Wiley1
(1)
Columbia City, IN, USA
 
Missing data is common in nearly all real-world analysis. This chapter introduces the concept of missing data formally including common ways of describing missingness. Then we discuss some of the potential ways missing data can be addressed in analysis. The main package we will use in this chapter is the mice package, one package that offers robust features for handling missing data and minimizing the impact of missing data on analysis results [95].
library(checkpoint)
checkpoint("2018-09-28", R.version = "3.5.1", ...
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Publisher Resources

ISBN: 9781484228722Purchase LinkPublisher Website