jamovi

You have to do a separate Chi Square test (or alternatively, a separate binomial test) on a subset of the data that contains only the two frequencies of interest. This is illustrated in the lower half of the image, above.

Hi. I believe these are the kinds of analyses you want to conduct:

Hi. In an ANOVA, each cell must include at least two cases (so that a within-cell variance can be computed). In contrast, you have one ANOVA cell in which the n is less than 2. See below.

Sounds like you need to include A vs B as a factor, *and* you need to examine the interactions of that factor with other predictors.

That's correct.

If you're not interested in comparing treatment group A to treatment group B (and if you think your audience won't be interested in that comparison either), then you could simply code the data so that there's no distinction between A and B, and do just one analysis. (Doing two separate analysis halv...

You might report the issue at: https://github.com/sjentsch/jTransform/ ... s%3Aclosed

Oh. OK. So it looks like the other value of supp (i.e., "VC") is excluded completely from the interaction post-hoc test. So probably best to just remove the "interaction" post-hoc test table since, for whatever reason, it doesn't actually work right.

I would also have doubts. For example, in a Walrus (bootstrap) robust ANOVA on the Tooth Growth Data, I think there should be 15 post-hoc comparison. But the output produces only 3.

I found a non-technical work-around: I simply include a 'table of contents' telling the reader wear to look in the numbered-but-out-of-order analyses. For example . . . RESULTS Contents Response Time General Descriptives for RT (#5) ANOVA of RT (#3) Rj planned comparisons for ANOVA of RT (#6) Accura...