最近用spss处理数据，但是spss缺乏变量内的计算。想算出一个累积占比还得靠SAS

首先 数据手动导入命名class;

然后 数据按某一列降序排列；

proc sort data=class  out=class2;

by descending VAR2;

run;

最后 新加一列占比，并且算出累积占比；

data class1;

set class2;

format _all_;

retain getpost_sumzb;

getpost_sumzb+getpost_zhanbi;

retain sumbytes_sumzb;

sumbytes_sumzb+sumbytes_zhanbi;

chazhi=getpost_sumzb-sumbytes_sumzb;

run;

proc sort data=class1  out=class3;

by descending chazhi;

run;

data class_80;

set class1;

if getpost_sumzb<=0.8;

run;

如下是高手的方法特此引荐，以后细看：

data a;

input date :yymmn6.

amt

;

format date yymmn6.;

cards;

201101    100

201102    200

201103    300

201104    400

201105    500

;

data result1;

do until(last);

set a end=last;

ytd_amt+amt;

output;

end;

run;

proc sql;

create table result2 as

select distinct (a.date),a.amt, sum(b.amt) as ytd_amt

from (select a.*,monotonic() as n from a) a

join  (select a.*,monotonic() as n from a) b

on a.n ge b.n

group by a.n;

quit;

错误： ERROR: Width specified for format F is invalid

或 ERROR: 为输出格式“F”指定的宽度无效

The following errors occur after you try to import an SPSS file into a SAS data set:

ERROR: The decimal specification of 2 must be less than the width specification of 2. ERROR: The decimal specification of 2 must be less than the width specification of 2. ERROR: The decimal specification of 2 must be less than the width specification of 2. ERROR: Width specified for format F is invalid. ERROR: Width specified for format F is invalid. ERROR: Width specified for format F is invalid.

For example, these errors occur when you submit an IMPORT procedure similar to the following:

proc import datafile=”c:\temp\test.sav” out=xyz dbms=sav; run; data

test1; set xyz; run;

The errors occur when the lengths of the SPSS fields are read into the SAS? System as negative values.

To circumvent this error, use FORMAT _ALL_ statement in the DATA step, as shown in the following output:

data test1; set xyz; format _all_; run; NOTE: There were 6

observations read from the data set WORK.XYZ. NOTE: The data set

WORK.TEST1 has 6 observations and 642 variables. NOTE: DATA

statement used (Total process time): real time 0.01 seconds cpu

time 0.01 seconds