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howtos:toolcoding:using_a_relative_propensity [2010/11/12 20:59]
shona.weldon
howtos:toolcoding:using_a_relative_propensity [2010/11/25 13:20] (current)
shona.weldon
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-====== Using relative ​propensity ​====== +====== Using relative ​propensities to create data based on some simple assumptions ​====== 
-When you have an equation with more unknowns that constraints and you want to add some assumptions to solve it you may add a relative propensity calculation. ​ Best served by an example.  ​+When you have an equation with more unknowns that constraints and you want to add some assumptions to solve it you may add a relative propensity calculation. ​ Best served by an example.  ​It can also be thought of as an estimate where only the relative values matter and the level will be determined by scaling it to the know data.
  
 +===== Example =====
 Given: Given:
    ​households[uss,​usdt,​th]    ​households[uss,​usdt,​th]
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 Finally the math to calculate peoplePerHousehold[uss,​usdt,​th] is: Finally the math to calculate peoplePerHousehold[uss,​usdt,​th] is:
  
-    local peoplePerHouseholdEst[uss,usdt,th] = households[uss,​usdt,​th] * peoplePerHousehold[usdt] +    ​!Equation A: 
-    peoplePerHousehold[uss,​usdt,​th] = population[uss,​th] / peoplePerHouseholdEst[uss,usdt,th] * relPopPersPerHH[usdt] +    ​local populationEst[uss,th] = sum (households[uss,​usdt,​th] * relPopPersPerHH[usdt]; dim=usdt) 
- +    !Equation B: 
 +    peoplePerHousehold[uss,​usdt,​th] = (population[uss,​th] / populationEst[uss,th]* relPopPersPerHH[usdt]
  
  
howtos/toolcoding/using_a_relative_propensity.1289595551.txt.gz · Last modified: 2010/11/12 20:59 by shona.weldon