mde (version 0.3.2)

get_na_counts: Add columnwise/groupwise counts of missing values

Description

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.

Usage

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

Arguments

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.

Value

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.

Examples

# NOT RUN {
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"))
# }