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The map tool can perform an index mapping in which multiple elements of informant X are mapped to the same element of informant Y. To aggregate multiple elements into one, the map tool sums the values of the composite elements. However, there may be a need to use a different aggregation function such as minimum, maximum, or average. The following code demonstrates how to implement this logic.
local uce2020[uce2020,uce2020] = diag (1.0; dim=unitCodeE2020) local uce2020Mask[t,cidsc->unsc,uce2020] = boolne (dimtran (uce2020[uce2020,uce2020]; \ map1=E2020UnitCodeIndx[t,cidsc->unsc], newDims=2, checkData=off),0) local comYrsSCx[t,cidsc->unsc,uce2020] = reorder (comYrsSC[cidsc->unsc,t]; time, cidscCOunsc) * \ uce2020Mask[t,cidsc->unsc,uce2020] local comYrsSCOffset[t,cidsc->unsc,uce2020] = booleq (comYrsSCx[t,cidsc->unsc,uce2020],0) * 9999 local comYrsSCy[t,cidsc->unsc,uce2020] = comYrsSCx[t,cidsc->unsc,uce2020] + comYrsSCOffset[t,cidsc->unsc,uce2020] local e2020OnlineDatex[uce2020,t] = coordmin (reorder (comYrsSCy[t,cidsc->unsc,uce2020]; unitCodeE2020,time,cidscCOunsc); numDims=1) e2020OnlineDate[uce2020,t] = boolne (e2020OnlineDatex[uce2020,t],9999) * e2020OnlineDatex[uce2020,t]