title: Interpreting Bootstrap results in R
body: <p>I have two different sized datasets, so am attempting to use the bootstrap function. I have completed the code below, but am not sure how to interpret the results. Any help would be great </p>
  
  <pre><code># bootstrapping with 1000 replications
  results &lt;- boot(data=Timedata, statistic=rsq,
                  R=1000, formula=Max_Height~Age*Time_period)
  
  # view results
  `results
  plot(results)`
  </code></pre>
  
  <p>ORDINARY NONPARAMETRIC BOOTSTRAP</p>
  
  <p>Call:</p>
  
  <pre><code>boot(data = Timedata, statistic = rsq, R = 1000, formula = Max_Height ~ 
      Age * Time_period)
  </code></pre>
  
  <p>Bootstrap Statistics :</p>
  
  <pre><code>     original        bias    std. error
  t1* 0.7439122 -0.0003189452  0.06257858
  </code></pre>
  
  <h1>get 95% confidence interval</h1>
  
  <p><code>boot.ci(results, type="bca")
   ?boot.ci</code></p>
  
  <p>BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
  Based on 1000 bootstrap replicates</p>
  
  <p>CALL : 
  boot.ci(boot.out = results, type = "bca")</p>
  
  <p>Intervals : 
  Level       BCa<br>
  95%   ( 0.5794,  0.8343 )<br>
  Calculations and Intervals on Original Scale</p>