Data Management and Analysis Processes in Proc
Learn about the step-by-step data management and analysis processes in PROC, including creating example data, selecting samples, assigning IDs, examining data sets, and more.
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The full data set proc proc contents contents data=fram.fram40;run run;
Select a sample of specified size keeping only the variables desired. /*select a random sample of size 15*/ proc proc surveyselect surveyselect data=fram.fram40(keep=spf1-spf5) out=ftmp method=srs sampsize=15 15 seed=54321 54321 ; run run;
Assign an id to each observation /*assign a meaningless id*/ data data ftmp; length id 8 8; set ftmp; id=_n_; run run;
Examine the data set proc proc print print data=ftmp;run run;
Changing the descriptor portion PROC DATASETS /*get rid of labels and formats*/ proc proc datasets datasets lib=work memtype=data; modify ftmp; attrib _all_ label=' '; attrib _all_ format=; quit quit;
Sort the data in random order /*do a random sort on data*/ data data ftmp; set ftmp; call streaminit(5764313 ranx=rand("uniform"); id=_n_; run run; 5764313); proc proc sort sort data=ftmp;by ranx;run run;
Create 5 separate files /*create a separate file for each of the exams*/ data data sbp1(keep=id spf1 rename=(spf1=sbp)) sbp2 (keep=id spf2 rename=(spf2=sbp)) sbp3 (keep=id spf3 rename=(spf3=sbp)) sbp4 (keep=id spf4 rename=(spf4=sbp)) sbp5 (keep=id spf5 rename=(spf5=sbp)) ; set ftmp; output sbp1; output sbp2; output sbp3; output sbp4; output sbp5; run run;
Examine Results proc proc contents contents data=sbp1;run proc proc contents contents data=sbp2;run proc proc contents contents data=sbp3;run proc proc contents contents data=sbp4;run proc proc contents contents data=sbp5;run run; run; run; run; run;
