title: statistics contingency R
body: <p>I've got two vectors which are TRUE or FALSE.  Basically data on households and whether they own a car and whether they have a gold watch. (Note, "car" and "gold watch" are not the actual categories, but they're effective substitutes for this question).</p>
  
  <p>I want to find out the relationships between car ownership and watch ownership and could use some advice for both the stats and the R in terms of which functions to use.</p>
  
  <p>The idea is to be able to say:
  "If someone has a car, we can say with 95% confidence that there is a 25% chance they have a gold watch"</p>
  
  <p>I've been messing with Cross.Table and assocscats and basically got myself totally confused for what I think is a standard stats question.</p>
  
  <p>Any quick insights into which tests/functions should be used?  I've got a correlation of .265, but want to quantify the confidence.</p>
  
  <p>I've looked around a bunch including at:
  <a href="https://stackoverflow.com/questions/7442207/contingency-table-with-r">How do I get a contingency table?</a>
  <a href="https://stackoverflow.com/questions/11532920/contingency-table-on-logistic-regression-in-r-with-missing-fitted-values?rq=1">Contingency table on logistic regression in R with missing fitted values</a></p>
  
  <p>Thanks!!</p>