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Changes in the TBC shortly after launch were utilized because the a beneficial proxy so you’re able to assess behavioural data recovery episodes following the Whitney ainsi que al

Statistical Data

Prior to analytical analyses, studies had been thinned to a 1 s interval, matching the newest temporary solution at which associated effect parameters (elizabeth.grams., TBC and VV) was indeed determined.

Tailbeat Period Healing Several months

(2016) and Andrzejaczek et al. (2019a). For each shark, mean TBC was calculated over 15 min windows, and then related to time since release (TSR) as the predictor. An exploratory generalized additive mixed model (GAreM, “mgcv” package; Wood, 2011) suggested an asymptotic relationship between these variables (p < 0.001). Thus the effect of TSR on mean TBC was quantified using a non-linear self-starting asymptotic mixed model (“nlme” package; Pinheiro et al., 2020) with an individual random effect on the asymptote (Asym), initial (R0) and natural log of rate constant (lrc) coefficients to allow for individual variability in recovery patterns (Whitney et al., 2016), and a first-order autoregressive [AR(1)] correlation structure to accommodate within-individual temporal autocorrelation. Model fit was assessed via diagnostic plots (fitted vs. normalized residuals plots, Q-Q plots and normalized residual autocorrelation plots). The TBC recovery period was then calculated at the population and individual level (using random effect coefficients) as the https://datingranking.net/fr/rencontres-de-tatouage/ time taken for the TBC to increase 80% of the difference between its initial (R0) and predicted asymptotic (Asym) value (Whitney et al., 2016). Читать далее