Hello,
I am trying to analyze a Randomized Complete Block Design (RCBD) experiment in JMP, but I did not create the experimental design in JMP (and I don't think I have the patience to figure out how to do that!). I just import my excel files to work from.
It was a field experiment where I sampled from 3 different blocks in a field (these are the replicates), and within each block I had 9 randomly assigned treatment (so 9 treatment plots, replicated 3 times). The treatments were 9 different cover crop types, so cover crop is the X factor. I then measured a lot of Y response variables from these plots. I used blocks because the soil inherently varied across the field, and I want to eliminate the 'noise' of these field site difference.
I was planning on running this as a simple 1-way ANOVA, but somehow taking into account the blocking. I tried using Analyze-> Fit Y by X, and then putting in my Y response variable, X factor, and my replicate (block) column in the 'Block' space (see screenshot 1). It gives me a result, and it shows what I believe are the correct number of Errors (see screenshot 2). However, I have read many articles about blocking in JMP, and no one suggests using this 'Block' tab... so maybe I am missing something? Is this too good to be true?
Do I instead need to use 'Fit Model', and assign the block to be a 'random effect'? If so, what do I select for the 'Personality', and what number do I put for 'Degree' in the effects area? (see screenshot 3). Do I want to click 'no intercept'?
That is a lot of questions! If anyone has some insight, I would greatly appreciate it 
Thank you!
