count_NAs: Prints count(s) of missing values

In m-dz/mdmisc:

Description

Prints count(s) of missing values (coded as NA) in an object (vector, data.frame, data.table etc.).

Usage

count_NAs(data_in, prop = FALSE, print = TRUE)

Arguments

prop	Flag indicating if results should include proportions.
print	Flag indicating if results should be printed.
data	Input object.

Value

Table with counts (and proportions if TRUE) of missing values.

Examples

dt <- data.table::data.table(a = rnorm(n=1000, mean=20, sd=5),
                             b = rnorm(n=1000, mean=20, sd=5),
                             c = rnorm(n=1000, mean=20, sd=5))
dt[sample.int(nrow(dt), round(nrow(dt) * 0.15)), a := NA_real_]
count_NAs(dt)
count_NAs(dt, prop = TRUE)
count_NAs(dt[, a])
count_NAs(dt[, a], prop = TRUE)
count_NAs(dt[, .(a)])
count_NAs(dt[, .(a)], prop = TRUE)

m-dz/mdmisc documentation built on May 22, 2019, 12:23 p.m.