BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Khaladdin
Quartz | Level 8

Hi all,

 

I want to compute the mean and standard deviation of previous and following n rows by group. For example,

 

I have:

 

     Row Number                Price

            1                              10

            2                               5

            3                              11

            4                              12

            5                              15

            6                              18

 

I want to compute the mean and standard deviations of the previous and following 2 rows by group. So, I want

 

     Row Number                Price                Mean                                                                                    Stddev

            1                              10                  (5+11)/2  (I do not have any previous row)                           Same method but for stan.deviatin

            2                               5                   (10+11+12)/3 (I have only one previous row)

            3                              11                  (10+5+12+15)/4 (I have previous and following two rows)

            4                              12                  (5+11+15+18)/4 (I have previous and following two rows)

            5                              15                  (11+12+18)/3 (I have only one following row)

            6                              18                  (12+15)/2 (I do not have any following row)

 

I show the sample without any group for simplicity. I should do all the computations by group.

1 ACCEPTED SOLUTION

Accepted Solutions
PeterClemmensen
Tourmaline | Level 20

Here is one way. I added a few more groups to your data to demonstrate that it handles by groups as well.

 

data have;
input Group Price;
datalines;
1 10
1 5
1 11
1 12
1 15
1 18
2 10
2 5
2 11
2 12
2 15
2 18
3 10
3 5
3 11
3 12
3 15
3 18
;

data temp / view=temp;
   do t=1 by 1 until (last.Group);
      set have;
      by Group;
      output;
   end;
run;

proc expand data=temp out=want method=none;
   by Group;
   id t;
   convert Price=Mean   / transformout=( cmovave (1 1 0 1 1));
   convert Price=Stddev / transformout=( cmovstd (1 1 0 1 1));
   format Mean Stddev 8.2;
run;

Result:

 

Group  t   Mean    Stddev Price 
1      1   8.00    2.12   10 
1      2   11.00   0.47   5 
1      3   10.50   1.82   11 
1      4   12.25   2.43   12 
1      5   13.67   1.78   15 
1      6   13.50   1.06   18 
2      1   8.00    2.12   10 
2      2   11.00   0.47   5 
2      3   10.50   1.82   11 
2      4   12.25   2.43   12 
2      5   13.67   1.78   15 
2      6   13.50   1.06   18 
3      1   8.00    2.12   10 
3      2   11.00   0.47   5 
3      3   10.50   1.82   11 
3      4   12.25   2.43   12 
3      5   13.67   1.78   15 
3      6   13.50   1.06   18 

 

View solution in original post

5 REPLIES 5
PeterClemmensen
Tourmaline | Level 20

Here is one way. I added a few more groups to your data to demonstrate that it handles by groups as well.

 

data have;
input Group Price;
datalines;
1 10
1 5
1 11
1 12
1 15
1 18
2 10
2 5
2 11
2 12
2 15
2 18
3 10
3 5
3 11
3 12
3 15
3 18
;

data temp / view=temp;
   do t=1 by 1 until (last.Group);
      set have;
      by Group;
      output;
   end;
run;

proc expand data=temp out=want method=none;
   by Group;
   id t;
   convert Price=Mean   / transformout=( cmovave (1 1 0 1 1));
   convert Price=Stddev / transformout=( cmovstd (1 1 0 1 1));
   format Mean Stddev 8.2;
run;

Result:

 

Group  t   Mean    Stddev Price 
1      1   8.00    2.12   10 
1      2   11.00   0.47   5 
1      3   10.50   1.82   11 
1      4   12.25   2.43   12 
1      5   13.67   1.78   15 
1      6   13.50   1.06   18 
2      1   8.00    2.12   10 
2      2   11.00   0.47   5 
2      3   10.50   1.82   11 
2      4   12.25   2.43   12 
2      5   13.67   1.78   15 
2      6   13.50   1.06   18 
3      1   8.00    2.12   10 
3      2   11.00   0.47   5 
3      3   10.50   1.82   11 
3      4   12.25   2.43   12 
3      5   13.67   1.78   15 
3      6   13.50   1.06   18 

 

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 5 replies
  • 904 views
  • 1 like
  • 2 in conversation