title: Which methods of normalization exist in R?
body: <p>I'm working with data that is not normal distributed. I have applied the common methods: logs and square roots in order to transform the data and then treat it with an ARIMA model so I can make a forecast.</p>
  
  <p>What I have tried is:</p>
  
  <pre><code>set.seed(123)
  y&lt;-rexp(200)
  
  yl&lt;-log(y+1)
  shapiro.test(yl)
  
  trans&lt;-(y-mean(y))/sd(y)
  shapiro.test(trans)
  </code></pre>
  
  <p>This methods are failing the test of normality, I would like to ask if there are another options to transform data into normal data in R.</p>