非常有用的sas程序

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牛仔2008 发表于 2010-3-22 21:01:32 |AI写论文

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非常有用的sas程序，拿来即可用，从基本的数据整理到高级数据分析，应有尽有。

样例：

/*-------------------------------------------------------------------*/
/* Multiple Comparisons and Multiple Tests Using the SAS(r) System */
/*                                                          */

/* Program 2.4: Bonferroni and Sidak Adjusted p-values Using the DATA Step */
data one;
input test pval @@;
bon_adjp = min(1,10*pval);
sid_adjp = 1 - (1-pval)**10;
datalines;
1 0.0911 2 0.8912
3 0.0001 4 0.5718
5 0.0132 6 0.9011
7 0.2012 8 0.0289
9 0.0498 10 0.0058
;
proc sort data=one out=one;
by pval;
proc print data=one;
run;

/* Program 2.5: Bonferroni and Sidak Adjusted p-values Using PROC MULTTEST */
data one; set one;
rename pval=raw_p;
drop bon_adjp sid_adjp;
proc multtest pdata=one bon sid out=outp;
proc sort data=outp out=outp;
by raw_p;
proc print data=outp;
run;

/* Program 2.6: Conservative Simultaneous Confidence Intervals with Multivariate Data */
data _null_;
   call symput('bonalpha',0.05/9          );
   call symput('sidalpha',1-(1-0.05)**(1/9));
data HusbWive;
   input HusbQ1-HusbQ4 WifeQ1-WifeQ4 @@;
   DiffQ1 = HusbQ1-WifeQ1;
   DiffQ2 = HusbQ2-WifeQ2;
   DiffQ3 = HusbQ3-WifeQ3;
   DiffQ4 = HusbQ4-WifeQ4;
   DiffQAvg = sum(of HusbQ1-HusbQ4)/4 - sum(of WifeQ1-WifeQ4)/4;
   DiffComp = sum(of HusbQ1-HusbQ2)/2 - sum(of WifeQ1-WifeQ2)/2;
   DiffPass = sum(of HusbQ3-HusbQ4)/2 - sum(of WifeQ3-WifeQ4)/2;
   DiffFFP  = sum(of HusbQ1 HusbQ3)/2 - sum(of WifeQ1 WifeQ3)/2;
   DiffFFY  = sum(of HusbQ2 HusbQ4)/2 - sum(of WifeQ2 WifeQ4)/2;
datalines;
2 3 5 5 4 4 5 5    5 5 4 4 4 5 5 5    4 5 5 5 4 4 5 5
4 3 4 4 4 5 5 5    3 3 5 5 4 4 5 5    3 3 4 5 3 3 4 4
3 4 4 4 4 3 5 4    4 4 5 5 3 4 5 5    4 5 5 5 4 4 5 4
4 4 3 3 3 4 4 4    4 4 5 5 4 5 5 5    5 5 4 4 5 5 5 5
4 4 4 4 4 4 5 5    4 3 5 5 4 4 4 4    4 4 5 5 4 4 5 5
3 3 4 5 3 4 4 4    4 5 4 4 5 5 5 5    5 5 5 5 4 5 4 4
5 5 4 4 3 4 4 4    4 4 4 4 5 3 4 4    4 4 4 4 5 3 4 4
4 4 4 4 4 5 4 4    3 4 5 5 2 5 5 5    5 3 5 5 3 4 5 5
5 5 3 3 4 3 5 5    3 3 4 4 4 4 4 4    4 4 4 4 4 4 5 5
3 3 5 5 3 4 4 4    4 4 3 3 4 4 5 4    4 4 5 5 4 4 5 5
;

proc glm;
   model HusbQ1-HusbQ4 WifeQ1-WifeQ4 = / nouni;
   repeated Spouse 2, Question 4 identity;
   run;

proc means alpha=0.05 n mean lclm uclm;
   title "Unadjusted Confidence Intervals";
   var DiffQ1-DiffQ4 DiffQAvg DiffComp DiffPass DiffFFP DiffFFY;
proc means alpha=&sidalpha n mean lclm uclm;
   title "Simultaneous Sidak Intervals";
   var DiffQ1-DiffQ4 DiffQAvg DiffComp DiffPass DiffFFP DiffFFY;
proc means alpha=&bonalpha n mean lclm uclm;
   title "Simultaneous Bonferroni Intervals";
   var DiffQ1-DiffQ4 DiffQAvg DiffComp DiffPass DiffFFP DiffFFY;
run;

/* Program 2.7: Multiple Tests with Multivariate Data */
proc means data=HusbWive n mean std prt;
title "Tests of Hypotheses With Husband/Wife Data";
var DiffQ1-DiffQ4 DiffQAvg DiffComp DiffPass DiffFFP DiffFFY;
run;

/* Program 2.8: HOLM Adjusted p-values Using PROC MULTTEST */
data one;
set one;
rename pval=raw_p;
drop bon_adjp sid_adjp;
proc multtest pdata=one bon stepbon out=outp;
proc sort data=outp out=outp;
by raw_p;
proc print data=outp;
run;
/* Program 2.9. Sidak-Holm Adjusted p-values Using PROC MULTTEST */
data one; set one;
rename pval=raw_p;
drop bon_adjp sid_adjp;
proc multtest pdata=one sid stepsid out=outp;
proc sort data=outp out=outp;
by raw_p;
proc print data=outp;
run;