Summarize Missing Data for all Variables in a Data Frame in R

February 16, 2011

(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

Something like this probably already exists in an R package somewhere out there, but I needed a function to summarize how much missing data I have in each variable of a data frame in R. Pass a data frame to this function and for each variable it’ll give you the number of missing values, the total N, and the proportion missing.

propmiss <- function(dataframe) lapply(dataframe,function(x)

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