title: Deleting All Rows That Have A Certain Value For One Column
body: <p>I have a data frame with 45 columns and 13970 rows. I want to delete all of the rows that have a 0 value for one of the columns. </p>
  
  <p>I have tried subset(dataframe, column!=0) 
  and 
  dataframe[!dataframe$column == 0, ]</p>
  
  <p>but neither of these work. When I use the subset function, it also deletes all of the rows that have NA for this column, but I need to retain those rows.</p>
  
  <p>How can I delete all the rows that have a 0 in just one particular column?</p>