title: read.csv vs read.table - difficulty in comparing results
body: <p>I have a tab separated data with a column containing addresses including commas in the addresses.</p>
  
  <p>I am using read.table to import a data into R, however my colleague used read.csv with sep="\t" to do the same and we both end up with different number of rows in the imported data frame.</p>
  
  <p>Also, when I import the data in Excel, I get the same number of records as read.csv with sep="\t".</p>
  
  <p>What is the most concrete way i can verify which import and number of records is the correct one?</p>
  
  <p>Please let me know what details I can add here to help answer the question.</p>