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Linlin · ‎05-08-2012

Thank you PG!!! improved version: data have; input id $ v1 v2 v3 v4; cards; a 1 2 3 . b 2 3 . . c 2 . . . ; data want; length new $ 50; set have; array _v(*) _numeric_; do _n_=1 to dim(_v); if _v(_n_)=. then new=catx('-',new,vname(_v(_n_))); end; proc print;run;

art297 · ‎02-24-2012

You have one variable that doesn't have any variance, namely cbc51. If you comment that variable out of your var statement you get the results you were expecting: proc corr data=have alpha nomiss nocorr nosimple; var cbc42 cbc65 cbc69 cbc75 cbc80 cbc88 cbc102 cbc103 cbc111 /*cbc51*/ cbc54 cbc56a cbc56b cbc56c cbc56d cbc56e cbc56f cbc56g cbc12 cbc14 cbc31 cbc32 cbc33 cbc34 cbc35 cbc45 cbc50 cbc52 cbc71 cbc89 cbc112; run;

art297 · ‎02-17-2012

Break the task into steps and create new datasets. e.g., proc import datafile = "SPSS dataset.sav" data = nida.ppi replace; run; data step2; set nida.ppi; if inform_r < 5 then inform = "Bio Parent"; run; proc contents data=step2 short; run;

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Re: create list of missing variables by subject

Re: create list of missing variables by subject

create list of missing variables by subject

Cronbach's alpha (standardized) using proc corr

Cronbach's alpha (standardized) using proc corr

proc import and data management

Re: create list of missing variables by subject

Cronbach's alpha (standardized) using proc corr

proc import and data management