What s New in 9.3. Rick Langston, SAS Institute Inc. Transforming the World. Copyright 2011, SAS Institute Inc. All rights reserved.

Transcription

1 What s New in 9.3 Rick Langston, SAS Institute Inc. Transforming the World

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5 What s New in 9.3 Rick Langston, SAS Institute Inc. Transforming the World

6 The Way We Were

7 The Way We Are

8 SAS 9.3 has shipped Available now Check with your SAS representative We ve been at it for almost 3 years 8

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10 ODS Changes HTML is the default for output in DMS Allows for richer graphics output generation ODS Graphics Designer and Editor now in Base SGPLOT, SGPANEL, etc. are now part of Base Now known as ODS Graphical Procedures 10

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12 New statements in SGPLOT/SGPANEL BUBBLE HBARPARM/VBARPARM HIGHLOW LINEPARM WATERFALL 12

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15 URL= option in Graphics procedures Allows you to specify URLs for sections Example using GMAP 15

16 data temp; sug='pnwsug'; do st='wa','or','id','ak'; output; end; sug='scsug'; do st='tx','nm','ok','la','ar'; output; end;... data temp; set temp; state=stfips(st); url=catx('.',' run; 16

17 ods html close; goptions reset=all border device=gif; ods html body="mytest.htm"; proc gmap map=maps.us data=temp all; id state; choro sug/url=url; run; ods html close; 17

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20 ODS/Reporting Presentations All Cynthia Zender: Half-day Seminar: Creating Complex Reports (9-12 Mon) The Greatest Hits: ODS Essentials Every User Should Know (2-3 Mon) Hands-on Workshop: Practically Perfect Presentations (10-12 Tue) Don t Gamble with Your Output: How to Use Microsoft Formats with ODS (8-9 Tue) Unveiling the Power of Cascading Style Sheets (CSS) in ODS (Kevin Smith, 8-9 Tue) 20

21 New functions Web Services SOAPWEB SOAPWEBMETA SOAPWIPSERVICE SOAPWIPSRS SOAPWS SOAPWSMETA 21

22 data _null_; url=" ndfdxmlserver.php"; soapaction= " ndfdxml.wsdl#cornerpoints"; rc = soapweb("request", url, "response", soapaction, run; trimn(""), trimn(""), trimn(""), 0, trimn(""), trimn(""), trimn(""), trimn("")); 22

23 New functions - statistical EFFRATE NOMRATE SAVINGS TIMEVALUE SQUANTILE 23

24 New functions - general RANCOMB MVALID SYSEXIST DOSUB/DOSUBL 24

25 How do you pronounce VAR statement LIBNAME statement RANCOMB function 25

26 RANCOMB data _null_; array x x1-x5 ( ); seed = ; do n=1 to 6; call rancomb(seed, 3, of x1-x5); put ' x= ' x1-x3; end; run; 26

27 seed= x= seed= x= seed= x= seed= x= seed= x= seed= x=

28 Consider this macro... %macro doit; filename abc 'sentinel.txt'; data _null_; rc=fdelete('abc'); run; data temp; do i=1 to 1000; output; end; run; data _null_; file abc; put 'x'; run; filename abc clear; %mend; 28

29 Try with CALL EXECUTE... data _null_; call execute('%doit'); do i=1 to 5; if fileexist('sentinel.txt') then leave; call sleep(1000); end; put i=; run; We get: i=6 29

30 Try with DOSUB... data _null_; rc = dosubl('%doit'); do i=1 to 5; if fileexist('sentinel.txt') then leave; call sleep(1000); end; put i=; run; We get: i=1 30

31 New options and enhancements options FMTSEARCH=(mylib.fmts/locale); options DLCREATEDIR; LIBNAME mylib newdir ; options ORIENTATION=landscape; 31

32 New Experimental Procs for ETS COPULA SSM SASEXCCM TCOUNTREG 32

33 No it s not PROC CUPOLA... 33

34 SAS/STAT 9.3 Key Features New FMM procedure (experimental) for finite mixture modeling Shared frailty models in PHREG procedure Expanded capabilities for Bayesian analysis Production SURVEYPHREG procedure New model diagnostics in NLIN procedure 34

35 SAS Statistical Presentations Both by Funda Gunes Statistical Tutorial: An Introductory Tutorial on Mixed Models (10-12 Mon) On Deck: SAS/STAT 9.3 (10-11 Tue) 35

36 Perl Regular Expressions in informats 36

37 proc format; invalue $yyy (default=20) 's/abc/def/' (REGEXPE) = _same_; run; data _null_; x=input('abc',$yyy.); put x=; x=input('xabcx',$yyy.); put x=; x=input('xyz',$yyy.); put x=; x=input('def',$yyy.); put x=; run; x=def x=xdefx x=xyz x=def works like PRXCHANGE function 37

38 Functions as labels in formats 38

39 proc format; value abc (default=10) other=[myfunc()]; run; Function myfunc takes one argument (numeric/character) and returns numeric/character Use DEFAULT= to ensure proper widths Functions can be SAS-supplied or ones written with PROC FCMP 39

40 proc fcmp outlib=work.functions.smd; function ctof(c) $; return(cats(((9*c)/5)+32,' F')); endsub; function ftoc(f) $; return(cats((f-32)*5/9,' C')); endsub; run; options cmplib=(work.functions); data _null_; f=ctof(100); put f=; c=ftoc(212); put c=; run; produces f=212 F c=100 C 40

41 proc format; value ctof (default=10) other=[ctof()]; value ftoc (default=10) other=[ftoc()]; run; data _null_; x=100; put x=ctof.; x=212; put x=ftoc.; run; produces x=212 F x=100 C 41

42 More SAS Presentations given earlier today Becoming a Better Programmer with SAS Enterprise Guide 4.3, by Michael Walters Choosing the Road Less Traveled: Performing Similar Tasks with either SAS DATA Step Processing or with Base SAS Procedures, by Kathryn McLawhorn The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support, by Kim Wilson SAS for Performance: An Introductory Tutorial, by M.P. Welch 42

43 More SAS Presentations Coming Up Half-day Seminar: Top 10 Best SAS Programming Practices, by Sharu Shankar (2-5 Monday) Understanding the Anatomy of a SAS Deployment: What's in My Server Soup?, by Donna Bennett (9-10 Tuesday) 43

44 Super Demos Sandwich Your SAS dataset to Excel Pivot (twice) New Features in PROC FORMAT for SAS 9.3 (twice) SAS 9.3 Deployment: A Sure Bet! (earlier today) ODS Statistical Graphics in SAS 9.3 So, What is JMP?: An Introduction to Interactive Analytics ITRM - SAS IT Resource Management New Features Fitting Bayesian Random-Effects Models Using PROC MCMC Top Ten Steps to Prepare for a Migration 44

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