I'm trying to do a secondary analysis on a very large dataset that has a lot of missing values. I'd like to see if there is any pattern within the missing values. I'd like to create a new dummy variable for missing so 0=missing and 1=not missing. I'm not sure how to go about this. I've created a smaller dataset that narrow down my predictor and outcome variables of interest. All of the variables are numeric/continuous and each variable has missing values. Any suggestions are greatly appreciated!
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