title: 2 dfs both have a dates column in same period. 1 has no data on some dates leading to fewer rows. How do I (c)bind these and put NA at missing data?
body: <p>I have these two dataframes that are examples of two different larger dataframes:</p>
  
  <pre><code>&gt;df1
       V1            V2     V3
  4462 2010-03-20    0      A
  4463 2010-03-21    0      A
  4464 2010-03-22    0      A
  4465 2010-03-23    0,7    A
  4466 2010-03-24    8      A
  </code></pre>
  
  <p>and</p>
  
  <pre><code>&gt;df2     
       X1           X2            X3
  3670 2010-03-20   2.840747e+00   0.0000000
  3671 2010-03-21   1.223321e+01   0.0000000
  3672 2010-03-22   9.924097e-01   1.3000000
  3673 2010-03-24   1.149400e+01   0.0000000
  </code></pre>
  
  <p>As you might have seen already the date: "2010-03-23" in column <code>df2[,X1]</code> is missing in contrary to column <code>df1[,V1]</code>.</p>
  
  <p>However I still want to bind these date frames into a new date frame (<code>df3</code>), e.g. as stated below according to date:</p>
  
  <pre><code>     Y1           Y2     Y3  Y4             Y5             
  1    2010-03-20   0      A   2.840747e+00   0.0000000
  2    2010-03-21   0      A   1.223321e+01   0.0000000
  3    2010-03-22   0      A   9.924097e-01   1.3000000
  4    2010-03-23   0,7    A   NA             NA
  5    2010-03-24   8      A   1.149400e+01   0.0000000
  </code></pre>
  
  <p>I cannot get it to work with <code>cbind</code> because of the different number of rows. Does anyone know how to do this? Help would be much appreciated!</p>