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From |
"Nick Cox" <[email protected]> |

To |
<[email protected]> |

Subject |
st: RE: treatment of missing values in a matrix dissimilarity score |

Date |
Mon, 15 Sep 2008 20:16:06 +0100 |

Without comment on whether the detail here is correct, it sounds like a case for controlling which observations you feed via ... if !missing(x1, x2, x3, x4) Nick [email protected] Elkins, Zachary S I'd like to calculate the matches between observations across a set of binary variables. I suspect that there are multiple ways to do this. I've specified: matrix dissimilarity m=x1 x2 x3 x4, match proportion However, some values in x1-x4 are missing. Based on the results, it appears that Stata treats missing values as if they were 1 and I don't see how to modify that. I'd like to calculate to calculate similarities across only non-missing elements (the number of which will be different for each pair, of course). * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: treatment of missing values in a matrix dissimilarity score***From:*"Elkins, Zachary S" <[email protected]>

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