Question

我有以下数据集：

Date    jobboardid       Sales
Jan05     3              256    
Jan05     6              70
Jan05     54             90    
Feb05     32             456
Feb05     11             89
Feb05     16             876
March05
April05
. 
.
.
Jan06     6              678
Jan06     54             87
Jan06     13             56 
Feb06     McDonald       67
Feb06     11             281
Feb06     16             876
March06
April06
.
.
.
Jan07    6               567
Jan07    54              76
Jan07    34              87
Feb07    10              678
Feb07    11              765
Feb07    16              67
March07   
April06

我试图计算当jobboardid列相隔12个月时具有相同值时Sales列的12个月增长率。我有以下代码：

data Want;
set Have;
by Date jobboardid;
format From Till monyy7.;
from = lag12(Date);
oldsales = lag12(sales);

if lag12 (jobboardid) EQ jobboardid 
and INTCK('month', from, Date) EQ 12 then do;
    till = Date;
    rate =  (sales - oldsales) / oldsales;
    output;
end;
run;

但是我一直收到以下错误消息：注意：由于对缺失值执行操作而创建缺失值。

但是当我检查我的数据集时，没有任何缺失值。问题是什么？

注意：我的日期列在monyy7中。格式。 jobboardid是数值，Sales也是。

Answer 1

INTCK（）函数抛出NOTE。当你说from=lag12(date)时，前12条记录的遗漏值将为。{1}}。然后INTCK('month', from, Date)将抛出NOTE。即使INTCK没有在赋值语句中使用，它仍然会抛出NOTE，因为它的一个参数缺少值。以下是一个例子。日志报告缺失值创建了12次，因为我使用了lag12。

77   data have;
78     do Date=1 to 20;
79       output;
80     end;
81   run;

NOTE: The data set WORK.HAVE has 20 observations and 1 variables.

82   data want;
83     set have;
84     from=lag12(Date);
85     if intck('month',from,today())=. then put 'Missing: ' (_n_ Date)(=);
86     else put 'Not Missing: ' (_n_ Date)(=);
87   run;

Missing: _N_=1 Date=1
Missing: _N_=2 Date=2
Missing: _N_=3 Date=3
Missing: _N_=4 Date=4
Missing: _N_=5 Date=5
Missing: _N_=6 Date=6
Missing: _N_=7 Date=7
Missing: _N_=8 Date=8
Missing: _N_=9 Date=9
Missing: _N_=10 Date=10
Missing: _N_=11 Date=11
Missing: _N_=12 Date=12
Not Missing: _N_=13 Date=13
Not Missing: _N_=14 Date=14
Not Missing: _N_=15 Date=15
Not Missing: _N_=16 Date=16
Not Missing: _N_=17 Date=17
Not Missing: _N_=18 Date=18
Not Missing: _N_=19 Date=19
Not Missing: _N_=20 Date=20
NOTE: Missing values were generated as a result of performing an operation on missing values.
      Each place is given by: (Number of times) at (Line):(Column).
      12 at 85:6
NOTE: There were 20 observations read from the data set WORK.HAVE.
NOTE: The data set WORK.WANT has 20 observations and 2 variables.

避免此问题的一种方法是添加另一个类似（未经测试）的阻止程序：

if lag12 (jobboardid) EQ jobboardid and _n_> 12 then do;
  if INTCK('month', from, Date) EQ 12 then do;
      till = Date;
      rate =  (sales - oldsales) / oldsales;
      output;
  end;
end;

Sas计算程序没有运行

1 个答案: