title: Stationary test error in Time Series using R
body: <p>I have half hourly data for 5 years measuring the electricity load.
  I checked for stationary with <code>acf</code>, which shows it is non stationary. But when I used <code>adf.test</code> to check stationary, it showed opposite result:</p>
  
  <pre><code>adf.test(tsr1$LOAD.MW.,alternative="stationary")
  
  # Augmented Dickey-Fuller Test
  
  # data:  tsr1$LOAD.MW.
  # Dickey-Fuller = -9.7371, Lag order = 11, p-value = 0.01
  # alternative hypothesis: stationary
  </code></pre>
  
  <blockquote>
    <p>Warning message:
    In adf.test(tsr1$LOAD.MW., alternative = "stationary") :
      p-value smaller than printed p-value</p>
  </blockquote>
  
  <p>What should I consider? Though I have feeling that it is non stationary. If it is, how to make it stationary using R? Also I tried using command
  <code>decompose(tsr)</code>. It showed an error:</p>
  
  <blockquote>
    <p>ERROR  :   time series has no or less than 2 periods</p>
  </blockquote>
  
  <p>What is the issue?</p>