Hi Friendly JMPers, Baking is always a challenge, so I am hoping someone can help me. I've got a design (I don't know how to classify it - crossed and nested two way split plot design?). And I am not sure how to load the Changes into Custom Design even after reading "Experiments with ‘Hard-to-Change’ and ‘Very-Hard-to-Change’ Variables. This is a baking process design with four levels (but two of those will be crossed): Thaw Method (4 levels) - 0, 1, 2, 24 Oven Temp (3 levels) - 345, 360, 375 Muffin Size (2 levels) - 4.5 and 5.4 Rack Position (3 levels) - Top, Middle, Bottom Thaw Method and Oven Temp are presumably termed "crossed" - there are 12 combinations (4 thaw methods x 3 oven temps) Then I have an oven rack and I can fit two trays (1 for each of muffin size) on the top, middle, and bottom section of the rack - 6 combinations per rack (2 muffin sizes x 3 rack positions). The rack will always be "nested" within one of the 12 oven temp x thaw method combinations. And then I can bake a total of 3 or 4 racks per day. I am having a hard time understanding how to set up the the muffin size x rack position into the oven temp x thaw method in the Custom Design, not getting how "very hard" and "hard" works in this complicated design. And then I am not sure what to put in for whole plot and subplot (because every example I have seen is much simpler). Ideally, I would like to bake 12 racks total over 3 to 4 days. Each rack contains 3 levels (top middle bottom) and two trays each (4.5 and 5.4 oz) of muffins. Each rack will have a given thaw method (either 0,1, 2, 24) and be baked at one temp (345, 360, 375). I would like those bakes randomized. And if I need to add a few more racks to allow for error that would be ok. For visualization purposes, I have drawn out and attached my design. Any help would be much appreciated.
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Is there anyway I can input a data table containing count sums into JMP and have the software recognize it as such. For example, here is my data table, showing that 5 people ranked sample 842 as 'Like Extremely', 15 people ranked 842 'Like Very Much', etc.: Rank 842 357 159 763 Like Extremely 5 5 5 4 Like Very Much 15 7 9 13 Like Moderately 10 13 18 10 Like Slightly 6 2 1 5 Neither Like nor Dislike 2 4 4 2 Dislike Slightly 2 4 1 3 Dislike Moderately 0 2 1 1 Dislike Very Much 0 2 0 1 Dislike Extremely 0 1 1 1 Can I code or specify in JMP that these are sums for rank by sample number to run ANOVA on the data or do I need to rewrite all the data as follows to run ANOVA (The example below is just for sample 842, just tried to keep it short for the discussion)? Rank Sample Count Like Extremely 842 5 Like Very Much 842 15 Like Moderately 842 10 Like Slightly 842 6 Neither Like nor Dislike 842 2 Dislike Slightly 842 2 Dislike Moderately 842 0 Dislike Very Much 842 0 Dislike Extremely 842 0 It seems like there would be an easy solution, but I haven't found any solution on JMP Help. Anyone know the solution or if there is one? Thanks.
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