PDF-Changing the Shape of Your Data PROC TRANSPOSE vs

Arrays Bob Virgile Robert Virgile Associates Inc Overview To transpose your data turning variables into observations or turning observations into variables you can use either PROC TRANSPOSE or array processing within a DATA step This tutorial examin. PROC TRANSPOSE DATA=input-data-set ITER=delimiter label T&#xLE90; Proc transpose data=ds out=datedds prefix=DT; By memname; Var name; Run; The resulting DATEDDS dataset looks like this: Obs MEMNAME DT1 DT2 DT3 DT4 1 AEQ STRTDT STOPDT 2 CONMED STRTDT S 1 Paper BB - 59 The following code effortlessly changes the original data into a data set suitable for PROC MULTTEST: =rawpvalues out=data4multtest (rename=(COL1=Raw_P _NAME_=test)); by question; Recall that if Presentation:. Presenter. :. . Arthur . Tabachneck. Art . holds a PhD from Michigan State University, has been a SAS user . since 1974, . is president of the Toronto Area SAS . Society and has received such recognitions as the SAS . CS Example: General Linear Test (cs2.sas) proc reg data = cs ; model gpa = satm satv hsm hss hse ; * test H0: beta1 = beta2 = 0; sat: test satm , satv ; * test H0: beta3=beta4=beta5=0; Using proportional sets to calculate equivalent amounts, strengths and substitutes. 20 2 3 4 AT A GLANCE/ PHARMACY CALCULATIONS C 1 V 1 = C 2 V 2 2   Proportional sets C 1 V 1 =C 2 V 2 is used to calculate an unknown quantity where two solutions/mixtures are proportional … Profiling, AWS Cluster. Synchronization. Ideal case for parallelism: . no resources shared between threads. no communication between threads. . Many algorithms that require just a little bit of resource sharing can still be accelerated by massive parallelism of GPU. Proc.Natl.Acad.Sci.USA93(1996)11529BothLandL*canbeprotonatedonLys-156,butthepKaforprotonationisconsiderablylowerforL*thanforL;pKL*iswhilepKLis10.OneimportanttenetofthismodelisthattheIndsmutationsincre Proc.Natl.Acad.Sci.USA90(1993)2031dues,0.98forLexA-C52containingasinglecysteine,and0againforLexA-C52aftermodificationwith4-azidophenacylbromide,suggestingthatessentiallyallthecysteinesidechainshaverea 6148Biochemistry:LittleandHarperTable1.BacterialstrainsemployedSource,reference,StrainRelevantgenotypeorderivationAB1157recA+lexA+sup-37(15)DM49recA+lexA3sup-37(12)DM511recA+IexA3ts1-1sup-37(16)DM1187 I,fromFlavobacteriumokeanokoites,isamemberoftheunusual,typeIIsclassofrestrictionendonucleasesthatrec-ognizeaspecificDNAsequenceandcleavenonspecificallyashortdistanceawayfromthatsequence(1).Ibindstheco Proc.Natl.Acad.Sci.USA82(1985)6415fragmentwasisolatedfroma0.8%agarosegelbyusingtheapparatusforpreparativegelelectrophoresis.DNASequencing.DNAsequencingusingdideoxynucleo-tideswasperformedasdescribedby ®. . 1. Prerequisites. Recommended modules to complete before viewing this module. 1. Introduction to the NLTS2 Training Modules. 2. NLTS2 Study Overview. 3. NLTS2 Study Design and Sampling. NLTS2 Data Sources, either.