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Imputing and inspecting outcomes

Good job on visualizing missing data in the previous exercise! You have discovered there are some missing entries in GDP, gdp_pc, and trade as percentage of GDP, trade. Also, you suspect the data are MAR, and thus imputable. In this exercise, you will make use of multiple imputation from the mice package to impute the africa data. Then, you will draw a strip plot of gdp_pc vs trade to see if the imputed data do not break the relation between these variables. Let mice do the job!

This exercise is part of the course

Handling Missing Data with Imputations in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load mice
___

# Impute africa with mice
africa_multiimp <- ___(africa, m = ___, defaultMethod = ___, seed = 3108)
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