BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
desireatem
Pyrite | Level 9

How do I delete the rows and column that are in yellow bolow. I want table 1 to look like table 2 below.

proc means data=para noprint; class Variable; var estimate; output out=two mean(estimate)=col1

std(estimate)=col2 mean(StdErr)=col3;

run;

Table 1


ObsVariable_TYPE__FREQ_col1col2col3
10405.910333.422360.92869
2Intercept1202.614950.085030.13475
3TIMES1209.205711.082661.72264



Table 2

ObsVariable_  FREQ_    col1col2         col3
2Intercept202.614950.085030.13475
3TIMES209.205711.082661.72264
1 ACCEPTED SOLUTION

Accepted Solutions
Tom
Super User Tom
Super User

You can prevent PROC MEANS from generating the _TYPE_=0 row by adding the NWAY option.

You could drop the _TYPE_ column by using dsoption on output data set.

proc means nway data=para noprint;

  class Variable;

  var estimate;

  output out=two (drop=_type_)

        mean(estimate)=col1

        std(estimate)=col2

        mean(StdErr)=col3

  ;

run;

View solution in original post

2 REPLIES 2
Tom
Super User Tom
Super User

You can prevent PROC MEANS from generating the _TYPE_=0 row by adding the NWAY option.

You could drop the _TYPE_ column by using dsoption on output data set.

proc means nway data=para noprint;

  class Variable;

  var estimate;

  output out=two (drop=_type_)

        mean(estimate)=col1

        std(estimate)=col2

        mean(StdErr)=col3

  ;

run;

desireatem
Pyrite | Level 9

Thanks a lot Tom

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
  • 2 replies
  • 3796 views
  • 0 likes
  • 2 in conversation