print.partR2

Displays the results a partR2object (i.e. the result of a partR2 function call) in a nice form.

models

Partitioning the R2 of GLMMs into variation explained by each
predictor and combination of predictors using semi-partial (part) R2 and
inclusive R2. Methods are based on the R2 for GLMMs described in
Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).

Martin A Stoffel

partR2

Partitioning R2 in GLMMs

Martin A. Stoffel

Shinichi Nakagawa

Holger Schielzeth

print.partR2 function

<dl><dt>x</dt>
<dd>partR2 object returned from one of the partR2 functions</dd>
<dt>round_to</dt>
<dd>defaults to 4 (decimals)</dd>
<dt>...</dt>
<dd>Additional arguments; none are used in this method.</dd></dl>

Arguments

Print a partR2 object — print.partR2

<dl>

<dt>x</dt>
<dd>partR2 object returned from one of the partR2 functions</dd>


<dt>round_to</dt>
<dd>defaults to 4 (decimals)</dd>


<dt>...</dt>
<dd>Additional arguments; none are used in this method.</dd>

</dl>

print.partR2: Print a partR2 object

Description

Usage

Value

Arguments