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The original code is:
" !DO !TargetinAQUAScore !IN (!TargetinAQUAScores) DESCRIPTIVES VARIABLES=!TargetinAQUAScore /STATISTICS=ALL. * Heat Map Binning Scores ------------------------------------------------- -----------------. compute !concat("BIN_",!TargetinAQUAScore)=0. if (Missing(!TargetinAQUAScore )) !concat("BIN_",!TargetinAQUAScore)=0. if (!FinalResult="Fail") !concat("BIN_",!TargetinAQUAScore)=0. if (!TargetinAQUAScore >=0 and !TargetinAQUAScore <=256) !concat("BIN_",! TargetinAQUAScore)=1. if (!TargetinAQUAScore > 256 and !TargetinAQUAScore <=512) !concat("BIN_",! TargetinAQUAScore)=2. if (!TargetinAQUAScore > 512 and !TargetinAQUAScore <=1024) !concat ("BIN_",!TargetinAQUAScore)=3. if (!TargetinAQUAScore >1024 and !TargetinAQUAScore <=2048) !concat ("BIN_",!TargetinAQUAScore)=4. if (!TargetinAQUAScore >2048 and !TargetinAQUAScore <=4096) !concat ("BIN_",!TargetinAQUAScore)=5. if (!TargetinAQUAScore >4096 and !TargetinAQUAScore <=8192) !concat ("BIN_",!TargetinAQUAScore)=6. if (!TargetinAQUAScore >8192 and !TargetinAQUAScore <=16384) !concat ("BIN_",!TargetinAQUAScore)=7. if (!TargetinAQUAScore > 16384) !concat("BIN_",!TargetinAQUAScore)=8. var lab !concat("BIN_",!TargetinAQUAScore) 'Bin Nuc Score Grouping'. val lab !concat("BIN_",!TargetinAQUAScore) 0 'Excluded' 1 '<256' 2 '256- 512' 3 '512-1024' 4 '1024-2048' 5 '2048-4096' 6 '4096-8192' 7 '8192-16384' 8 '>16384'. exe. !LET !gdataset=!CONCAT('"',graphdataset,'"') * Chart Builder. GGRAPH /GRAPHDATASET NAME=!gdataset VARIABLES=!X !Y !concat("BIN_",!TargetinAQUAScore)[LEVEL=NOMINAL] MISSING=LISTWISE REPORTMISSING=NO /GRAPHSPEC SOURCE=INLINE TEMPLATE= ["P:\Core Projects\Cheetah\Cheetah\CEN-003 and CEN-004\Stage II cohort stats\ChartSizeJC2.sgt"]. BEGIN GPL SOURCE: s=userSource(id(!gdataset)) DATA: !X=col(source(s), name(!CONCAT('"',X,'"'))) DATA: !Y=col(source(s), name(!CONCAT('"',Y,'"'))) DATA: !concat("BIN_",!TargetinAQUAScore)=col(source(s), name( !concat ('"BIN_',!TargetinAQUAScore,'"')), unit.category()) GUIDE: axis(dim(1), label(!quote(X))) GUIDE: axis(dim(2), label(!quote(Y))) GUIDE: legend(aesthetic(aesthetic.color.interior), label(concat("Bin ",! TargetinAQUAScore), "Grouping")) SCALE: linear(dim(1), min(0), max(62)) SCALE: linear(dim(2), reverse(), min(0), max(34)) SCALE: cat(aesthetic(aesthetic.color.interior), include (".00", "1.00", "2.00", "3.00", "4.00", "5.00", "6.00", "7.00", "8.00")) ELEMENT: point(position(!X*!Y), color.interior(!concat("BIN_",! TargetinAQUAScore)), size(size."11px")) END GPL. !DOEND. exe. " How to figure out the following error: " GPL error: algebra(axis(d) Expecting ( or + or * or /: axis(d GPL: SOURCE: s=userSource(id( "graphdataset" )) DATA: X1 =col(source(s), name ( "X" )) DATA: Y1 =col(source(s), name( "Y" )) DATA: BIN_TargetinCytoplasmAQUA_Norm1 =col(source(s), name ( "BIN_TargetinCytoplasmAQUA_Norm1" ), unit.category()) GUIDE: axis(d " Seems SPSS didn't recognize out dim. Thanks a lot. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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