metagear (version 0.6)

impute_missingness: Provides a summary of missingness in a dataset.

Description

Generates a summary of the percentage of missing data in a dataset. Provides insight on the appropriateness of imputation methods. For example, if 30% of data is missing, then perhaps this is too much to impute.

Usage

impute_missingness(aDataFrame)

Arguments

aDataFrame

A data.frame containing columns that will be assessed for missingness.

Value

A data frame that summarizes percent missingness for each column of a dataset.

Examples

# NOT RUN {
data(example_references_metagear)
impute_missingness(example_references_metagear)

# }