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SAS has missing values as well and goes further -- there are multiple types of missing values (ie, "not available", "doesn't pass quality control review", etc.) We added missing values to our product to interop with both R and SAS:

https://www.labkey.org/wiki/home/LabKey%20Server%20Documenta...

(Pardon the extremely old screenshots.)

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In SAS, beware that missing values are treated as the smallest possible value (e.g. -Inf). This means that statements like x < 10 return true if x is missing.

Oh god yes, and it will bite you if you don't know it. That takes me back to cleaning SAS data.

But R is free!

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