New ReCal feature: ‘Export Results to CSV’

I have just introduced a new feature to ReCal called “Export Results to CSV.” The purpose of this feature is to offer a new format for the program’s output—until today, the only output option offered was HTML. Users now have the option of saving their results to a formatted CSV file suitable for viewing in a spreadsheet application such as Excel.

Using this new function is easy. Simply submit your data file(s) to ReCal as usual, and near the bottom of the usual HTML results page you’ll see a button labeled “Export Results to CSV.” Click this button, and your output CSV file should pop up as a download. Give this file an appropriate name (this is important, as the default filename is “output.csv”) and save it to your hard drive. You should now be able to open your results file in any spreadsheet application. (Though it is technically possible, I highly recommend not trying to open these output files in statistical applications such as SPSS or STATA, as they most likely will not display the data properly.) When you export after having accumulated the results of multiple data files via the Save Results History option, the resulting output file will contain all of that data.

If you experience any problems or have any questions about exporting your results, please leave a comment below.


  1. This is the greatest program. I was labouring over calculating this manually. What a brilliant idea.

  2. Muchas gracias por la calculadora, me ha ahorrado muchísimo tiempo y podré concluir mi tesis doctoral en uno o dos meses. Thanks!

  3. Your calculator has saved me many hours of labor; what a wonderful tool! My question is this: Must I manually calculate standard deviations or standard errors, degrees of freedom, and p-values for my results? Do you plan to develop this output capacity in the near future? Or do you know whether I can use another program of calculator to derive my error terms and p-values?

  4. This is a wonderful tool, particularly for calculating the somewhat tedious but very useful Krippendorf’s alpha. Thank you for making it freely available online.

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