我导入了一个数据文件。它有246个观察结果。通过使用nobs,如何在代码的最后一句中替换246来查找百分比?
proc import datafile='G:\Data file\Dec 2014.csv'
out=out.datafile
dbms=csv
replace;
*SUMMARY TABLE IS MADE;
proc summary data = out.datafile missing;
class AGE sentiment; *age, sentiment are two columns in datafile;
var ;
output out = out.summ_age ;
run;
*SORTING SUMMARY TABLE BY AGE;
proc sort data = out.summ_age;
by age;
run;
*TRANSPOSING THE SORTED DATA WITH AGE AS OBS SENTIMENT VALUES AS COLUMNS;
PROC transpose data = out.summ_age out = out.hsi_age;
by age;
id sentiment;
var count;
run;
data out.hsi_age;
set out.hsi_age;
tot = d+s+i;
PERCENTAGE=round((tot/246)*100,0.01); /*PERCENTAGE PER GROUP*/
run;
答案 0 :(得分:1)
如果您想将数据集中的观察数量转换为宏变量,那么您可以将此计数放入宏变量中 - 如您的情况:
proc sql ;
select count(*)
into :N
from out.datafile ;
quit ;
然后您可以在最后一步中调用它:
data out.hsi_age;
set out.hsi_age;
tot = d+s+i;
PERCENTAGE=round((tot/&N.)*100,0.01); /*PERCENTAGE PER GROUP*/
run;
答案 1 :(得分:1)
因此,您有错误和200%以及所有PROC SUMMARY
的原因会产生超出您想要的数据。你想要跨越年龄和情绪,但实际上你得到:
你需要问你真正想要的是什么。这确实给了我们一点奖励:你不必去寻找NOBS,你实际上可以从其中一条额外的线上得到它(与年龄没有交叉的情绪)。
假设你有sashelp.class
并用性取代情绪,你可以这样做:
proc summary data = sashelp.class missing;
class AGE sex; *sex replaces sentiment here;
types sex age*sex; *we want the grand total for each separate sex, and crossed with age;
var ;
output out = summ_age ;
run;
*SORTING SUMMARY TABLE BY AGE;
proc sort data = summ_age; by age;
run;
*TRANSPOSING THE SORTED DATA WITH AGE AS OBS SEX VALUES AS COLUMNS;
PROC transpose data = summ_age out = hsi_age;
by age;
id sex;
var _freq_;
run;
data hsi_age;
set hsi_age;
retain grand_tot;
if _n_=1 then grand_tot=M+F; *the first row has the null age values, grand total by sex;
else do;
tot = sum(M,F);
PERCENTAGE=round((tot/grand_tot)*100,0.01); /*PERCENTAGE PER GROUP*/
output;
end;
run;
您还可以通过proc tabulate
生成您正在寻找的内容,但这也可以。
答案 2 :(得分:1)
NOBS选项创建可以访问的常规变量,其方式与给定数据步骤中的任何其他变量相同(唯一的区别是此变量永远不会输出到目标数据集)。我想您可以通过以下方式实现您愿意做的事情:
data out.hsi_age;
set out.hsi_age nobs=my_nobs_var;
tot = d+s+i;
PERCENTAGE=round((tot/my_nobs_var)*100,0.01); /*PERCENTAGE PER GROUP*/
run;