con_check

Multiple factors in a dataframe are said to be connected if a model matrix
based on those factors is full rank.
This function provides a formula interface to the lfe::compfactor() function
to check for connectedness of the factors.

Visualize the connectedness of factors in two-way tables.
Perform two-way filtering to improve the degree of connectedness.
See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.

Kevin Wright

connected

Visualize and Improve Connectedness of Factors in Tables

con_check function

<dl><dt>data</dt>
<dd>A dataframe</dd>
<dt>formula</dt>
<dd>A formula with multiple factor names in the dataframe,
like <code>y ~ f1 + f2 + f3</code></dd>
<dt>WW</dt>
<dd>Pass-through argument to <code>compfactor</code></dd>
<dt>dropNA</dt>
<dd>If TRUE, observed data that are <code>NA</code> will be dropped.</dd></dl>

Arguments

Author

Check connectedness of multiple factors in a dataframe — con_check

<dl>

<dt>data</dt>
<dd>A dataframe</dd>


<dt>formula</dt>
<dd>A formula with multiple factor names in the dataframe,
like <code>y ~ f1 + f2 + f3</code></dd>


<dt>WW</dt>
<dd>Pass-through argument to <code>compfactor</code></dd>


<dt>dropNA</dt>
<dd>If TRUE, observed data that are <code>NA</code> will be dropped.</dd>

</dl>

con_check: Check connectedness of multiple factors in a dataframe

Description

Usage

Value

Arguments

Author

References

Examples