Hi again! Thank you. Unfortunately, I havent sorted it out yet. However, perhaps I need to redo the ranks (distribution analyze to save ranks), since when I run the Fit y by x-analyses a post shows up saying "Blocking ignored because cell counts were unequal." After that I excluded a few replicates that contained some empty cells thinking this could be the reason of unequality, saved it as ranks and ran it in fit y by x, but the unequality still remain and the post shows up again). Could it be that there are some species having 6 replicates and, now some are having 5 replicates? All replicates however are equal in number of treated samples (i.e. control and treated). Is this posing a problem for conducting the Friedman test? In my Fit y by x-runs I used, in the specification model, the trait values as response Y, and the treatment and block number for factor X and block. I even switched the treatment and block number for those two specifications. But in addition to receiving the previously mentioned post sign it did not display any data or relevance (2-way ANOVA p-values for example). Also. So far. The ensuing output file doesnt (never) display any two-way ANOVA data, but instead the output file (as always) have the caption of One-way ANOVA. How exactly can you see whether your Friedman test is shown or not on the output file? I dont think there is a caption saying, for example, nonparametric two-way ANOVA in the fit y by x-output? If anyone have a clue on this please drop a line or two! I am not giving up on this one (yet). Best regards, Jim
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