data_helpers: Data summarization and classification methods
In asshah4/octomod: A Causality-Informed Modeling Approach
data_helpers R Documentation
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
asshah4/octomod documentation built on June 4, 2024, 12:48 p.m.
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| data_helpers | R Documentation |
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 [ |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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