title: Plot Multiple Imputation Results
body: <p>I have successfully completed a multiple imputation on the missing data of my questionnaire research using the MICE package in R and performed a linear regression on the pooled imputed variables. I can't seem to work out how to extract single pooled variables and plot in a graph. Any ideas?</p>
  
  <p>e.g.</p>
  
  <pre><code>&gt;imp &lt;- mice(questionnaire) 
  &gt;fit &lt;- with(imp, lm(APE~TMAS+APB+APA+FOAP))  
  &gt;summary(pool(fit))  
  </code></pre>
  
  <p>I want to plot pooled APE by TMAS.</p>
  
  <p><strong>Reproducible Example using nhanes:</strong></p>
  
  <pre><code>&gt; library(mice)
  &gt; nhanes
  &gt; imp &lt;-mice(nhanes)
  &gt; fit &lt;-with(imp, lm(bmi~chl+hyp))
  &gt; fit
  &gt; summary(pool(fit))
  </code></pre>
  
  <p>I would like to plot pooled chl against pooled bmi (for example).</p>
  
  <p>Best I have been able to achieve is</p>
  
  <pre><code>&gt; mat &lt;-complete(imp, "long")
  &gt; plot(mat$chl~mat$bmi)
  </code></pre>
  
  <p>Which I believe gives the combined plot of all 5 imputations and is not quite what I am looking for (I think).</p>