MLMusingR (version 0.4.0)

nmiss: Amount of missing data per variable

Description

Amount of missing data per variable

Usage

nmiss(dat)

Value

By default, this function will print the following items to the console

• The percent of missing data per variable.

• The percent of complete cases (range: 0 to 1).

• Suggested number of datasets to impute when using multiple imputation.

Arguments

dat

Data frame that you want to inspect.

Examples

data(mtcars)
mtcars[c(2:3), 4] <- NA #create NAs
nmiss(mtcars)