你好，可以解释一下你的思路么？授之以渔呀，嘿嘿

/* see the notes in the code below */
/* the idea is to add a variable of random number */
/* then sort the dataset by the random number of the new variable */
/* then output the specified number of observations to a new dataset */
/* this can also be done using a few data steps within a macro */

data allData;        /* sample dataset with 1100 observations as your original dataset */
   do id = 10001 to 11100;                  /* one ID variable */
       x = round(ranuni(12345)*100, 0.01);  /* x and y are two other variable */
       y = round(ranuni(12345)*100, 0.01);
      output;
   end;
run;

%macro samp;
    %let seed=1234;           /* initial seed used for generating random number */
    %do i = 1 %to 10;         /* loop: control the number of datasets to be generated */

      proc sql outobs=100;    /* PROC SQL for creating one sampling dataset */   
         create table sample&i. as  /* outobs= : control the number of observations sampled */
         select *
         from alldata
         order by ranuni(&seed);   /* creating a column of random number  */
      quit;                        /* for ordering the dataset */

      %let seed = %eval(&seed+2);  /* changing the seed for next sampling */
    %end;                          /* end of do-loop */  
%mend samp;
%samp

请教在一个如下的数据集中随机多次抽取一部分（如80%）的数据，用SAS应该怎么做？？？

如果你的数据集alldata有10000条观测，把楼上code中的outobs＝100 改成　outobs＝8000

如果你的数据集alldata有n条观测，把楼上code中的　outobs＝100 改成　outobs＝int(0.8*n)