Hi,

I have the file below called happyguys. It is a subset of data. How do I 
apply the weight variable (WTPP) to this file? Can i just multiply each 
column (except the first column because it is a record id) by WTPP? If the 
answer is yes, how do I multiply one variable name by another?

Thanks,

Nat



  PROV REGION GRADE Y_Q10A         WTPP
83      48      4     7      2 342233324020
115     48      4     7      1 434413433040
185     48      4     7      1 432312433040
222     48      4     7      2 133112222030
242     48      4     7      1 421313332020
247     48      4     7      2 312134212030
352     48      4     7      1 331112411040
562     48      4     7      2 331112321030
591     48      4     7      1 321334413030
663     48      4     7      2 441412442040
691     48      4     7      1 333213343020
730     48      4     7      1 431111321030
850     48      4     7      1 343113422040
1016    48      4     7      1 322124413050
1041    48      4     7      1 331133432040
1163    48      4     7      1 433913439040
1211    48      4     7      2 211213421030
1245    48      4     7      2 231113331020
1283    48      4     7      1 432114432030
1723    48      4     7      2 233112422040
1765    48      4     7      1 331113421040
1766    48      4     7      2 443434234040
1894    48      4     7      2 311142321040
1976    48      4     7      1 113124312040
2092    48      4     7      1 333122343040
2093    48      4     7      1 341312412040
2248    48      4     7      2 312333313040
2396    48      4     7      2 424113332040
2405    48      4     7      1 411113220030
2438    48      4     7      1 421314432030
2488    48      4     7      1 421123322040
2579    48      4     7      2 312113241040
2637    48      4     7      1 421132432030
2699    48      4     7      1 444212433050
2738    48      4     7      1 241111311040
2759    48      4     7      1 431111311040
2856    48      4     7      1 111114410060
2964    48      4     7      2 413223413030
3107    48      4     7      2 232233324030
3166    48      4     7      2 322234324030
3169    48      4     7      2 333332424040
3480    48      4     7      2 311122421040
3519    48      4     7      2 432224234020
3645    48      4     7      1 321112221040
3681    48      4     7      2 344112432040
3698    48      4     7      1 441111311030
3703    48      4     7      1 313311412040
3737    48      4     7      2 343234324040
3889    48      4     7      1 431123322020
3896    48      4     7      2 233313223030
3915    48      4     7      1 311312411040
3929    48      4     7      2 243314223030
3934    48      4     7      2 223112332040
3937    48      4     7      2 332122423030
3957    48      4     7      2 211194449030
3983    48      4     7      1 331312432040
4052    48      4     7      2 423313413040
4147    48      4     7      1 331111321030
4168    48      4     7      2 322131323040
4253    48      4     7      1 343432324040
4263    48      4     7      1 211132411060
4324    48      4     7      1 331113421040
4402    48      4     7      2 321112331030
4528    48      4     7      1 444113312030
4570    48      4     7      2 441114221040
4600    48      4     7      1 211112220030
4640    48      4     7      2 321234323050
4672    48      4     7      2 342134433040
4701    48      4     7      2 241433423020
4710    48      4     7      2 331114331030
4728    48      4     7      2 321213422050
4764    48      4     7      2 333413233040
4765    48      4     7      2 243333224030
4794    48      4     7      2 311112320030
4915    48      4     7      1 411113420050
4921    48      4     7      2 443412413040
4944    48      4     7      1 411343412050
4963    48      4     7      2 322314313030
5089    48      4     7      1 221111411040
5173    48      4     7      2 311134431030
5466    48      4     7      2 332332424030
5484    48      4     7      2 333333324030
__________________



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