两者最大的不同是MEANS结果是print table,而SUMMARY的结果是一个数据集。
利用output选项二者可以实现同样的功能。
例如：
proc means data=sashelp.class noprint; var weight; output out=summrydat1;run;proc summary data=sashelp.class; var weight; output out=summrydat2;run;
另外，可以对统计量重命名
例如：
proc summary data=sashelp.class;var weight;output out=summrydat n=number mean=average std=std_deviation;run;
proc summary data=sashelp.class; var height weight; output out =summrydat n =ht_n wt_n mean(weight)= wt_mean std(height) = ht_std;run;
还有，CLASS语句，类似于FREQ的CLASS语句
title1 'CLASS and a Printed Table';proc means data=sashelp.class; class age sex; var height; output out=clsummry1 n=ht_n mean=ht_mean std=ht_sd;run;
使用CLASS语句，MEANS和SUMMARY自动生成的_TYPE_值不同，它们用来区别统计量。
“
_TYPE_ = 0 Summarize across all classification variables
总结所有分类变量_TYPE_ = 1 Summarize as if the right most classification variable was the only one对将数据最右边的分类变量作总结
_TYPE_ = 2 Summarize as if the next to the right most classification variable was the only one
对数据右边第二个分类变量作总结_TYPE_ = 3 Interaction of the two classification variables.
两分类变量间交互作用
”
比如上面代码的结果为：
_type_=0,统计量对所有变量计算所得 _type_=1,对满足分类变量sex计算所得 _type_=2,对满足分类变量age计算所得 _type_=3,则是同时对满足分类变量sex,age计算所得