jamovi

Glad to hear it, thanks!

Again, thanks for sharing your thoughts on this Jonathon. I see your point in having the ANOVA and linear regression producing consistent intercepts. Also look forward to the update where you could set the intercept in a regression analysis as a reference level.

the lm() function in R uses a reference level as the intercept.

Consider the following data:
data.frame(

• y = c(9,10,11, 20,20,20),
  z = c(rep("a", 3), rep("b", 3)))

In R, using lm() the intercept is 10.
In jamovi, the intercept is 15.

Thanks for keeping us updated Jonathon, appreciate your thoughts here. Although I am certainly not qualified to take a stance regarding if the intercept should be the grand mean or a reference level, I find it highly problematic that the model intercepts you get from jamovi differs from both R and S...

Have you decided yet whether to keep the grand mean as the intercept?

In my opinion, having the grand mean as the intercept is confusing. It is not consistent with other software or the notion that the intercept should reflect the reference level.

Hi and thanks for jamvoi!

I'm just curious about the term "3rd generation statistical spreadsheet". What would you consider to be the first and second generation?