プリント

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1 For Higher Customer Satisfaction, We Bridge the SAS System Between Customer s World. YourModelsBuild up Your NextAnalytics

2 02 Y β0 β1x1 β2x2 ε Y ~ μ σ 2 μ β0 β1x1 β2x2 Y ~ n p logit(p) β0 β1x1 β2x2 logit(p)logit(p)=log(p/(1-p)) PROC GLM DATA=sashelp.class; CLASS sex; MODEL weight = sex / solution; QUIT

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4 04 PROC GLM DATA=sashelp.class; CLASS sex; MODEL weight = height sex age; STORE sasuser.studyresults; /* */ QUIT; PROC PLM RESTORE=sasuser.StudyResults; /* */ LSMEANS sex / DIFF;

5 05 PROC GLM DATA=sashelp.class; CLASS sex; MODEL weight = height sex age; STORE sasuser.studyresults; QUIT; PROC PLM RESTORE=sasuser.StudyResults; LSMEANS sex / DIFF AT (height age)=(60 13); PROC PLM RESTORE=sasuser.StudyResults; LSMEANS sex / DIFF; ODS GRAPHICS ON; PROC PLM RESTORE=sasuser.StudyResults; EFFECTPLOT SliceFit;

6 06 PROC PLM RESTORE=sasuser.ScoreModel; SCORE DATA=score_data out=score_result PREDICTED / ILINK; ODS GRAPHICS ON; PROC PLM RESTORE=sasuser.StudyResults; EFFECTPLOT SliceFit / AT (age=13); PROC PLM RESTORE=sasuser.ScoreModel; SHOW Program;

7 07 PROC GENMOD DATA=one; MODEL y=x / DIST=ZINB; ZEROMODEL x;

8 08 SAS Academic News

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13 13 Q&A Q A /* SAS9.2 */ DATA work.test; INFILE DATALINES; date1='01apr2010'd; /* */ INPUT date2 : DATE9.; /* */ /* 7 */ count1=intck('week',date1,date2,'c'); /* */ count2=intck('week',date1,date2); FORMAT date1 date2 YYMMDDS10.; DATALINES; 03APR APR APR APR2010 ; Q A

14 14 Q A DATA small; INPUT id:$8. name:$3. att:$8.; DATALINES; 1 AAA BBB CCC DDD EEE FFF GGG HHH III ; DATA large; ARRAY a(*) a1-a10; DO i= to 1 by -1; id=left(put(i,8.)); DO j=1 to 10; a(j)=ranuni(123); END; OUTPUT; END; DROP i j; DATA match; LENGTH id $8 name $3 att $8; IF _N_ = 1 THEN DO; /* */ DECLARE HASH h(dataset: "work.small"); h.definekey('id'); /* */ h.definedata('name','att'); /* */ h.definedone(); /* */ CALL MISSING(id,name,att); /* */ END; SET large; rc = h.find(); /* */ IF (rc=0) THEN OUTPUT; Q A DATA _NULL_; a = 'F1F0F0F0d0'x; x = INPUT(a,$EBCDIC5.); y = INPUT(a,S370FZDL5.); PUT x= y= ; 13 DATA _NULL_; 14 a = 'F1F0F0F0d0'x; 15 x = INPUT(a,$EBCDIC5.); 16 y = INPUT(a,S370FZDL5.); 17 PUT x= y= ; 18 x=1000} y=-10000

15 15 Q A %sysprod(graph); Q A PROC TREE DATA=tree NCLUSTERS=5 OUT=out; ID id_name; Q A DATA work.a; INPUT no 1. data $CHAR8.; CARDS; 1 aaa 2 bbb 3 ccc ; /* */ /* */ FILENAME test 'C: a test.csv'; /* CSV */ DATA _NULL_; FILE test DLM=","; SET work.a; /*********************************************** PUT NO 1. data $varying8. ***********************************************/ varlen=length(data); PUT no data $VARYING8. varlen;

16 Q A /* lib: dsn: pre: */ %MACRO ren(lib,dsn,pre); /* SQL dictionary.columns */ PROC SQL NOPRINT; /* &names */ /* &cnt */ SELECT name, COUNT(name) INTO :names SEPARATED BY ' ', :cnt FROM dictionary.

16 16 Q A /* lib: dsn: pre: */ %MACRO ren(lib,dsn,pre); /* SQL dictionary.columns */ PROC SQL NOPRINT; /* &names */ /* &cnt */ SELECT name, COUNT(name) INTO :names SEPARATED BY ' ', :cnt FROM dictionary.columns WHERE libname=upcase("&lib") and memname=upcase("&dsn"); QUIT; DATA tmp; SET tmp; RENAME %DO i=1 %TO &cnt; /* */ /* */ /* */ %LET name=%scan(&names,&i,' '); /* */ &name = &pre.&name %END; ; %MEND ren; /* */ DATA tmp; LENGTH sales 8 income $10 capital 8 mktcap $20; %ren(work,tmp,a_) /* */

17 17 SAS Training

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20 20 Latest Releases SAS Institute Japan

プリント

プリント For Higher Customer Satisfaction, We Bridge the SAS System Between Customer s World. Graph Sweet? Suite?! 02 03 04 ODS GRAPHICS ON; ODS PATH SHOW; ODS PATH : 1. SASUSER.TEMPLAT(UPDATE) 2. SASHELP.TMPLMST(READ)