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. 2016 Jan 6;5(1):72–82. doi: 10.1242/bio.012922

Fig. 1.

Fig. 1.

Three major moth body position and orientation derivative models. In descending vertical order, rows 1-3 show data for ÿ, , and Inline graphic. The thin red line has an intercept of zero and a slope equal to the value of the fitted coefficient, (Kÿβ, Kz̈β, and Inline graphic respectively by row). The thicker black line has an intercept of zero and a slope of one. In the first column (A,D,G), we fit ÿ and to the a priori constant dorsally-directed force production model, and Inline graphic to αLR (the wing asymmetry that contributed the most to roll velocity). In the second column (B,E,H), we fit ÿ, , and Inline graphic to the complete linear models which resulted from the variable selection process (Eqns 6-8). (C,F) We fit ÿ and to the full linear mixed models; they differ from column two only by the addition of a random intercept for each moth (which resulted in lower AICc values than the models without this adjustment). (H) Linear model for Inline graphic, which includes αLR, ΦLR, and Inline graphic. (I) Full linear mixed model for Inline graphic which differs from panel H by the addition of separate up- and downstroke coefficient estimates for elevation angle. It is important to note that, while we do present this data, panel H scored better than panel I in AICc analysis. n=218 halfstrokes from 19 maneuvers from 4 moths. For P-values see Tables 1 and 3.