Subscribe Bookmark RSS Feed

block and split-plot analysis by "fit model"

mahroo

Community Trekker

Joined:

Jun 19, 2013

Hi,

I am having a data set with blocking factor, whole plot, and split plot factors. I want to use fit model in JMP. I read some stuff online and figured out for whole plot I need to specify it as "random effect", but couldn't find anything regarding the blocking factor. How I tell fit model in JMP that a factor is a blocking factor?

1 ACCEPTED SOLUTION

Accepted Solutions
David_Burnham

Super User

Joined:

Jul 13, 2011

Solution

I'm not sure if you are saying that you have a blocking factor and a whole plot factor, or just a whole plot factor.  Either way, it's most common that the blocking factor acts as a random effect - so you select the term in your model specification then choose random effect from the attributes option.  You'll find more details under Help>Books>Modeling and Multivatiate Methods ... just do a search for split-plot

-Dave
2 REPLIES
David_Burnham

Super User

Joined:

Jul 13, 2011

Solution

I'm not sure if you are saying that you have a blocking factor and a whole plot factor, or just a whole plot factor.  Either way, it's most common that the blocking factor acts as a random effect - so you select the term in your model specification then choose random effect from the attributes option.  You'll find more details under Help>Books>Modeling and Multivatiate Methods ... just do a search for split-plot

-Dave
mahroo

Community Trekker

Joined:

Jun 19, 2013

I actually have both.

So, does this mean if the blocking factor is not random, we don't need to specify anything for the blocking factor different from other factors. so what is the difference between a blocking factor and a normal factor when fitting a model?