print.r2_kvr2

print.comp_kvr2

Printing objects of class "<code>r2_kvr2</code>" (generated by <code>r2()</code>) or "<code>comp_kvr2</code>" (generated by <code>comp_fit()</code>), respectively, by simple print methods.

Calculate nine types of coefficients of determination (R-squared) based on the classification by Kvalseth (1985) <doi:10.1080/00031305.1985.10479448>.
This package is designed for educational purposes to demonstrate how R-squared values can fluctuate depending on the choice of formula, particularly in power regression models or linear models without an intercept.
By providing a comprehensive list of definitions, it helps users understand the mathematical sensitivity of goodness-of-fit indices.

Mao Kobayashi

kvr2

Calculate and Compare Multiple Definitions of Coefficient of
Determination

print.r2_kvr2 function

<dl><dt>x</dt>
<dd>An object of class "<code>r2_kvr2</code>" or "<code>comp_kvr2</code>".</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>
<dt>digits</dt>
<dd>The number of decimal places to be used for rounding the results. Default is 4.</dd>
<dt>model_info</dt>
<dd>Logical. If <code>TRUE</code> (default), additional information about the model (type, intercept, n, k) is printed below the results.</dd></dl>

Arguments

Print Methods for r2 and comp_fit calculation Objects — print.r2_kvr2

<dl>

<dt>x</dt>
<dd>An object of class "<code>r2_kvr2</code>" or "<code>comp_kvr2</code>".</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>


<dt>digits</dt>
<dd>The number of decimal places to be used for rounding the results. Default is 4.</dd>


<dt>model_info</dt>
<dd>Logical. If <code>TRUE</code> (default), additional information about the model (type, intercept, n, k) is printed below the results.</dd>

</dl>

print.r2_kvr2: Print Methods for r2 and comp_fit calculation Objects

Description

Usage

Value

Arguments

Details

See Also