add_factor_info

<code>add_factor_info</code> searches a data.frame for labelr-specific factor meta-data,
which it records and retains for future use. It is used by other labelr
functions and need not be used directly by labelr end users.

Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.

Robert Hartman

labelr

Label Data Frames, Variables, and Values

The MITRE Corporation 

add_factor_info function

<dl><dt>data</dt>
<dd>the data.frame to which you wish to add labelr-specific factor
variable meta-data attributes (if any factors are present).</dd></dl>

Arguments

Add Factor-specific Attributes to a Data Frame — add_factor_info

<dl>

<dt>data</dt>
<dd>the data.frame to which you wish to add labelr-specific factor
variable meta-data attributes (if any factors are present).</dd>

</dl>

add_factor_info: Add Factor-specific Attributes to a Data Frame

Description

Usage

Value

Arguments

Examples