title: Hmisc Table Creation
body: <p>Just starting out with R and trying to figure out what works for my needs when it comes to creating "summary tables."  I am used to Custom Tables in SPSS, and the CrossTable function in the package gmodels gets me almost where I need to be; not to mention it is easy to navigate for someone just starting out in R.  </p>
  
  <p>That said, it seems like the Hmisc table is very good at creating various summaries and exporting to LaTex (ultimately what I need to do).</p>
  
  <p>My questions are:1)can you create the table below easily in the Hmsic page? 2) if so, can I interact variables (2 in the the column)? and finally 3) can I access p-values of significance tests (chi square).</p>
  
  <p>Thanks in advance,</p>
  
  <p>Brock</p>
  
  <pre><code>   Cell Contents
  |-------------------------|
  |                   Count |
  |             Row Percent |
  |          Column Percent |
  |-------------------------|
  
  Total Observations in Table:  524 
  
               | asq[, 23] 
      asq[, 4] |        1  |        2  |        3  |        4  |        5  | Row Total | 
  -------------|-----------|-----------|-----------|-----------|-----------|-----------|
             0 |       76  |       54  |       93  |       46  |       54  |      323  | 
               |   23.529% |   16.718% |   28.793% |   14.241% |   16.718% |   61.641% | 
               |   54.286% |   56.250% |   63.265% |   63.889% |   78.261% |           | 
  -------------|-----------|-----------|-----------|-----------|-----------|-----------|
             1 |       64  |       42  |       54  |       26  |       15  |      201  | 
               |   31.841% |   20.896% |   26.866% |   12.935% |    7.463% |   38.359% | 
               |   45.714% |   43.750% |   36.735% |   36.111% |   21.739% |           | 
  -------------|-----------|-----------|-----------|-----------|-----------|-----------|
  Column Total |      140  |       96  |      147  |       72  |       69  |      524  | 
               |   26.718% |   18.321% |   28.053% |   13.740% |   13.168% |           | 
  -------------|-----------|-----------|-----------|-----------|-----------|-----------|
  </code></pre>