data_helpers {rmdl}

Data summarization and classification methods

Description

These related functions are intended to analyze a single data vector (e.g. column from a dataset) and help predict its classification, or other relevant attributes. These are simple yet opionated convenience functions.

Usage

number_of_missing(x)

is_dichotomous(x)

Arguments

x

A vector of any of the atomic types (see [base::vector()])

Details

The functions that are currently supported are:

• number_of_missing() returns the number of missing values in a vector

• is_dichotomous() returns TRUE if the vector is dichotomous, FALSE otherwise

Value

Returns a single value determined by the individual functions