BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
dgabriel
Calcite | Level 5

Greetings!

 

I frequently use proc GLM for repeated measures ANOVA and more recently proc corr for correlational work.  In the case of proc GLM I would like to extract various sums of squares and degrees of freedom for other calculations, such power, effect size or ICC.  In the case of the proc corr I would like to extract specific correlations in a matrix for further calculations such as confidence intervals or hypothesis testing of different correlation coefficients.

 

Is there a reference(s) where I can learn how to do this.  Or a website of examples I can use to learn how to do this type of programming.  I am getting bits and pieces as I search the web but there are gaps that make it impossible for me to figure it out on my own.

 

Best Wishes,

 

dg

1 ACCEPTED SOLUTION
8 REPLIES 8
dgabriel
Calcite | Level 5

Hello.  Thank you.  That looks pretty darn close.  I will have to read it tomorrow morning.  Once the variables are extracted, examples have thing "&" in front of the extracted variables and the word "symput".   The link is one missing piece; that is, how to identify them to extract them.  Thanks once again.

 

dg

pau13rown
Lapis Lazuli | Level 10

a very common example is when we need to give the sample size (n) in the table column headings. The code would be something like this (we use "&" because we are making the statistic a macro variable so we can use it elsewhere eg when creating the table or figure):

 

ods output onewayfreqs=getn;

proc freq data=temp;

  tables treatment;

run;

 

data _null_;

  set getn;

  if treatment=1 then call symput("trt11",strip(put(frequency,2.)));

  else if treatment=2 then call symput("trt2",strip(put(frequency,2.)));

run;

 

proc report data=....;

  column .... trt1 trt2 ....;

:

  define trt1 / display width=10 right "Treatment 1 (n=&trt1)";

  define trt2 / display width=10 right "Treatment 2 (n=&trt2)";

:

run;

dgabriel
Calcite | Level 5

PaulBrown,

 

The example is exactly the type of thing talking about.  I can read the code and see exactly what what you are doing.  I have been using SAS for a long time but only for straight forward text book examples.  No coding.  I so most of my data manipulation like that in MATLAB which learned it organically over 30 years.  Now, I am trying to do the same with SAS programming to minimize going back and fourth between programs.  That is, use SAS for statistics then type in the results into code written MATLAB for further analysis.  The code below illustrates what I am trying to accomplish from beginning to end.  Now, I have to apply to ANOVA and correlational work.

 

Best Wishes,

 

dg

PGStats
Opal | Level 21

If you see the required value in the procedure output, you can get it in an ODS table. Check the Details section of the procedure documentation for the ODS Table Names topic. Add the statement

 

ODS OUTPUT procTablename=myTableName;

 

to your code and look at the table contents. The value will be there somewhere.

PG
dgabriel
Calcite | Level 5
Thank is a great reference for the thing I am trying to do.

dg

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 8 replies
  • 893 views
  • 1 like
  • 4 in conversation