title: How I can plot multiple roc together?
body: <p>I want to find some good predictors (genes). This is my data, log transformed RNA-seq:</p>
  
  <pre><code>          TRG    CDK6 EGFR  KIF2C CDC20
  Sample 1  TRG12  11.39 10.62  9.75 10.34
  Sample 2  TRG12  10.16  8.63  8.68  9.08
  Sample 3  TRG12   9.29 10.24  9.89 10.11
  Sample 4  TRG45  11.53  9.22  9.35  9.13
  Sample 5  TRG45   8.35 10.62 10.25 10.01
  Sample 6  TRG45  11.71 10.43  8.87  9.44
  </code></pre>
  
  <p>I have calculated confusion matrix for different models like below </p>
  
  <p>1- I tested each of 23 genes individually in this code and each of them gives p-value &lt; 0.05 remained as a good predictor; For example for CDK6 I have done</p>
  
  <pre><code>glm=glm(TRG ~ CDK6, data = df, family = binomial(link = 'logit'))
  </code></pre>
  
  <p>Finally I obtained five genes and I put them in this model:</p>
  
  <pre><code>final &lt;- glm(TRG ~ CDK6 + CXCL8 + IL6 + ISG15 + PTGS2 , data = df, family = binomial(link = 'logit'))
  </code></pre>
  
  <p>I want a plot like this for ROC curve of each model but I don't know how to do that</p>
  
  <p><a href="https://i.stack.imgur.com/bXeaH.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/bXeaH.png" alt="enter image description here"></a></p>
  
  <p>Any help please?</p>