naflex: naflex: Flexible Options for Handling Missing Values

In naflex: Flexible Options for Handling Missing Values

naflex: Flexible Options for Handling Missing Values

Description

The naflex package provides additional flexibility for handling missing values in summary functions beyond the two extreme options (na.rm = TRUE/FALSE) available in base R.

Details

Most summary functions in R e.g. mean provide the option for the two extremes:

• calculate the summary ignoring all missing values, na.rm = TRUE, or

• require no missing values for the summary to be calculated, na.rm = FALSE

In many applications something in between these two extremes is often appropriate. For example, you may wish to give a summary statistic if less than 5% of values are missing.

naflex provides helper functions to facilitate this flexibility for dealing with missing values, particularly within summary functions.

In particular naflex provides four types of missing value checks:

• a maximum proportion of missing values allowed

• a maximum number of missing values allowed

• a maximum number of consecutive missing values allowed, and

• a minimum number of non-missing values required.

These checks can be used individually or in combination with each other within summary functions.

Author(s)

Maintainer: Danny Parsons [e-mail] (ORCID)

Authors:

• Shadrack Kibet

See Also

Useful links:

• https://github.com/dannyparsons/naflex

• Report bugs at https://github.com/dannyparsons/naflex/issues

naflex documentation built on Oct. 15, 2024, 9:10 a.m.