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Gubardella
Calcite | Level 5

Hi all,

I have an RCBD experiment with a two-way factorial treatment design, which are fully randomized within each block. I also don't have subsampling.

My question is: In the random statement of the proc Glimmix, should I include only block, or block block*factor(a) and block*factor(b)?

Thank you in advance for the support,

 

Gustavo

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Accepted Solutions
SteveDenham
Jade | Level 19

I would start with the more specific random statement, and reduce as needed.  In other words:

 

RANDOM intercept A B/subject=block;

 

would be the first I would try.  If there is sufficient data and variability to estimate all of these components, then you are done.  If however, you get the message that the G matrix isn't positive definite, or there are zero values for the block*A or block*B variance components, you can reduce the statement and remove the zero-valued variance component terms.

 

Steve Denham

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SteveDenham
Jade | Level 19

I would start with the more specific random statement, and reduce as needed.  In other words:

 

RANDOM intercept A B/subject=block;

 

would be the first I would try.  If there is sufficient data and variability to estimate all of these components, then you are done.  If however, you get the message that the G matrix isn't positive definite, or there are zero values for the block*A or block*B variance components, you can reduce the statement and remove the zero-valued variance component terms.

 

Steve Denham

Gubardella
Calcite | Level 5
Thank you for the help, Steve.

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