1。设随机变量Key= ranuni(), 这样所有的obs都有一个介于0与1之间的值，根据你想要的训练集与测试集的比例提取，比如说2：1的话，可以提取 该值在0.21 ===0.87 为训练集，余下的为测试集。
2。 proc surveyselect 更为容易。参见如下link：
https://support.sas.com/document ... urveyselect_toc.htm

希望有帮助。

这是其中一个采用简单随机抽样的例子：

Simple Random Sampling  



The following PROC SURVEYSELECT statements select a probability sample of customers from the Customers data set by using simple random sampling:

   title1 'Customer Satisfaction Survey';
   title2 'Simple Random Sampling';
   proc surveyselect data=Customers
      method=srs n=100 out=SampleSRS;
   run;


The PROC SURVEYSELECT statement invokes the procedure. The DATA= option names the SAS data set Customers as the input data set from which to select the sample. The METHOD=SRS option specifies simple random sampling as the sample selection method. In simple random sampling, each unit has an equal probability of selection, and sampling is without replacement. Without-replacement sampling means that a unit cannot be selected more than once. The N=100 option specifies a sample size of 100 customers. The OUT= option stores the sample in the SAS data set named SampleSRS.

谢谢

我已经有了训练集和测试集，求matlab程序，用训练集测试 测试集，求准确率

这是SAS专版。。。