My project is conducted as Augmented Design at filed. For doing ANOVA I am looking for SAS software code. I could not find a complete SAS code for ANOVA and means comparison. Can someone help me out?
I found this from North Carolina State University. I might be able to help a bit more if this is not enough. It has been a long time since I had to deal with incomplete block designs. You can find more by searching the internet for "augmented designs statistics" and going from there.
Hi,
For ANOVA:
http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_anova_sect012.htm
For mean comparison:
http://stat.smmu.edu.cn/DOWNLOAD/ebook/statistics_course.pdf
Hi Senthilvel
I tried to access your suggested article for ANOVA by http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_anova_sect012.htm address, but that was impossible!
I don't know the reason!
Senthilvel,
Just FYI: I tried the link and had no problem, except that it just took me to the SAS-Stat manual. There were no examples with an augmented design in the examples, and it is difficult to read the manual and figure out how to do this sort of analysis. You could see the article by going to the SAS.com home page and working through the SAS-STAT manual.
Hello doctor Sabouri
How are you?
I think the following link is useful for analysis augmented designs.
http://www.iasri.res.in/design/Analysis%20of%20data/augmented_design_ex1.html
Beast regards
http://www.iasri.res.in/design/Analysis%20of%20data/augmented_design_ex1.html
Hi Mr A. Mahdavi
Thank you for your answer, I already visited that page but I am interested to find a SAS Code (preferably no with macro) for Augmented D.
Indeed Timothy kindly added a doc file for my question a SAS code with macro.
Dear dr Sabouri,
Honestly, I don't understand the unfortunately,
Anyway, I hope this file be some help.
http://www.iasri.res.in/design/Analysis%20of%20data/FILES/augmented_EX1.sas
This appears to be a good resource. It is a discussion and an example with SAS code.
http://pbgworks.org/sites/pbgworks.org/files/AugmentedDesignsFINAL.pdf
This is what I use.
www.ars-grin.gov/npgs/images/s9/curator2010/Kathleen_Yeater.pptx
Enter the data in SAS and run an analysis using PROC GLM;
PROC GLM;
CLASS block entry;
MODEL yield=block entry;
LSMEANS entry/stderr pdiff=CONTROLU('C2');
LSMEANS entry/stderr pdiff=CONTROLU('C2') adjust=T;
RUN;
Which varieties were significantly better than the best control (C2)? What type of multiple comparison tests are you utilizing?
For unbalanced data sets that involve both random and fixed factors, the use of mixed models is recommended. Is this data unbalanced? Which factor is random? Which is fixed?
Analyze the data in SAS using PROC MIXED. The syntax is similar to PROC GLM, except that random effects are not included in the MODEL statement in PROC MIXED.
PROC MIXED;
CLASS block entry;
MODEL yield=entry;
RANDOM block;
LSMEANS entry/pdiff=CONTROLU('C2') adjust=dunnett;
RUN;
If you have enough data you could also use Proc Glimmix like this. The plots= statement gives you plots of the residuals that can be used to help assess model assumptions. Adjust=Tukey gives the Tukey multiple comparison test. There are other options.
ods graphics on;
Proc glimmix plots=residualpanel;
class block entry;
model yield=block entry;
lsmeans entry/adjust=Tukey pdiff=controlu('C2') stderr;
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