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  • Collections vs resultssets

    I've finally had a chance to use Stata 17 tables and collections features in earnest. They are really amazing, and I appreciated a comment from a recent Stata free webinar on Tables, where the speaker said Tables in Stata 17 are an advance over competitive offerings. I'd have to agree.

    One of the issues I now have to keep in mind is that sometimes I want collections and tables, and sometimes resultssets (datasets of results), and sometimes I want both. I often use xsvmat (Roger Newson) to save resultssets, for example like this

    Code:
    regress ...
    contrast r.tx, pveffects nowald mcompare(bonf)
    xsvmat, from(r(table)') frame(m1, replace) names(col) rownames(contrast) /// 
        idstr("m1")
    At issue for me now is finding the best balance of creating resultssets (datasets) and collections (tables) such that I don't have two work streams. Roger or anyone else that uses Roger's tools, do you feel you have resultssets and collections/tables integrated?

    Thanks for any thoughts.
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