get_na_counts: Add columnwise/groupwise counts of missing values
In mde: Missing Data Explorer

Description Usage Arguments Value Examples

This function takes a 'data.frame' object as an input and returns the corresponding ‘NA' counts. 'NA' refers to R’s builtin missing data holder.

1	get_na_counts(x, grouping_cols = NULL, exclude_cols = NULL)

`x`	A valid R 'object' for which 'na_counts' are needed.
`grouping_cols`	A character vector. If supplied, one can provide the columns by which to group the data.
`exclude_cols`	Columns to exclude from the analysis.

An object of the same type as 'x' showing the respective number of missing values. If grouped is set to 'TRUE', the results are returned by group.

get_na_counts(airquality)
# Grouped counts
test <- data.frame(Subject = c("A","A","B","B"), res = c(NA,1,2,3),
ID = c("1","1","2","2"))
get_na_counts(test,grouping_cols = c("ID", "Subject"))