title: Creating categorical variable from continuous variable w/ scaled data
body: <p>I've lurked in this community for a while but this is my first question...</p>
  
  <p><strong>Background:</strong>
  I'm working with the breast cancer data from UCI. <a href="https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29" rel="nofollow noreferrer">DATA</a></p>
  
  <p>What I'm trying to do is a Latent Class Analysis (technically Latent Profile as these are continuous variables), but I must first scale my values for each variable.</p>
  
  <p>Once I scale, I now have 32 variables each scaled and ranging from negative to positive (the poLCA function cannot use negatives or zeros I believe). See below for an example of one of my scaled features. </p>
  
  <pre><code>&gt; summary(scaled.dat.1)
     V1         
  </code></pre>
  
  <p>Min.   :-2.0279<br>
   1st Qu.:-0.6888<br>
   Median :-0.2149<br>
   Mean   : 0.0000<br>
   3rd Qu.: 0.4690<br>
   Max.   : 3.9678  </p>
  
  <p><strong>Question</strong>
  How do I change these scaled continuous values to categorical values of say 1:5?</p>