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  3. Handling Missing Data with Imputations in R

Exercise

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!

Instructions 1/2

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  • Load the mice package.
  • Impute africa with mice, using 5 imputations and "Classification and regression trees" as the default method for all variable types; assign the result to africa_multiimp.