title: How to scale vector data in R using min/max?
body: <p>Imagine I have a vector of values in R. It's super long but just do give you a sample:</p>
  
  <pre><code>[1] 2782.779 2781.655 2780.531 2779.407 2778.282 2777.898 2777.514 
  2777.130 2776.746 2776.471 2776.196 2775.921
  [13] 2775.646 2775.055 2774.463 2773.872 2773.281 2774.238 2775.195 
  2776.152 2777.109 2776.905 2776.701 2776.497
  [25] 2776.293 2775.658 2775.024 2774.389 2773.755 2774.214 2774.673 
  2775.132 2775.591 2777.585 2779.579 2781.574
  [37] 2783.568 2787.358 2791.149 2794.940 2798.731 2802.518 2806.305 
  2810.092 2813.879 2814.760 2815.641 2816.522
  </code></pre>
  
  <p>I want to scale/normalize each value in the vector so it ranges between 0 and 1. The <code>max</code> value of the dataset would take on a value of 1 and the <code>min</code> value would take on a value of 0. Are there any existing functions/libraries to easily implement this?</p>
  
  <p>Thanks!</p>