multiple interaction factors
1
0
Entering edit mode
bobyboby • 0
@bobyboby-7062
Last seen 11.1 years ago
Germany

Dear limma users,

 

I would like to know if it possible to include two random interacting factors in the design matrix(like  block:tissue+tissue:genotype) and use in the lmFit() function.

 

thanks for the help.

 

regards,

Boby

 

limma • 774 views
ADD COMMENT
2
Entering edit mode
@james-w-macdonald-5106
Last seen 1 hour ago
United States

Any linear model that you would be able to specify for lm() will also work for lmFit(). In other words, as long as your design is valid, you can pass it to lmFit() and get the expected results.
 

ADD COMMENT
0
Entering edit mode

As a side note, if your design matrix is not of full column rank, lmFit will yield a warning telling you that some coefficients are not estimable. This doesn't change lmFit's behaviour for the estimable coefficients, but it may be problematic, e.g., if it affects the parametrization of your DE contrasts.

ADD REPLY

Login before adding your answer.

Traffic: 1799 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6