<br><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><div></div>This is a question more from curiosity than anything. <br>
<br></div>Today I was reading that the Journal of Computational Statistics and Data Analysis was not at all happy with Microsoft Excel 2003, stating that:<br>
<br>"Given Microsoft’s track record, we recommend that no statistical procedure be used unless Microsoft demonstrates that the procedure in question has been correctly programmed, e.g., by the use of test datasets from textbooks, or by comparison with another software package." [1]<br>
</div></div></div></blockquote><div><br>I would agree with that for all spreadsheet programs. There is statistical software out there that has been tested and is known to produce good results for that like R.<br> <br></div>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div>
<br></div>What interests me the most is that they gave some specific advise on how to test statistical software. In particular they stated that NIST has a Statistical Reference Dataset that can be used to test statistical software. [2]<br>
<br>I found the datasets on the NIST website [3]. They have a number of tests for ANOVA, Linear Regressions, Markov Chain Monte Carlo, Nonlinear Regression and Univariate Summary Statistics. <br><br></div>I was wondering if we've done any work on testing Calc against these datasets?<br>
<br></div></blockquote></div><br>No and as long as you don't plan to work on them I doubt anyone is going to do it soon.<br><br>Additionally as long as this mainly serves as theoretical discussion I think it is off-topic here and should be moved to the discuss list. However if you want to work on improving Calc's statistical capabilities I think the best start is to think about a interface to connect it to R. I think we even have somewhere at some old wiki page this idea as a crazy idea for the future.<br>
<br>Regards,<br>Markus<br>