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()])
Value
Returns a single value determined by the individual functions
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