2015
DOI: 10.1201/b19232
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Introductory Fisheries Analyses with R

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Cited by 174 publications
(203 citation statements)
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“…We tested the null hypothesis, which says that for each variable there were no significant differences between our sites. For statistically different groups (mound, pit, control) for each variable we used a post-hoc two-sided Dunn test with correction for multiple comparisons according to the Bonferroni method (Dinno 2016;Ogle 2016). For all tests the level of significance has been accepted to p-value=0.05.…”
Section: Resultsmentioning
confidence: 99%
“…We tested the null hypothesis, which says that for each variable there were no significant differences between our sites. For statistically different groups (mound, pit, control) for each variable we used a post-hoc two-sided Dunn test with correction for multiple comparisons according to the Bonferroni method (Dinno 2016;Ogle 2016). For all tests the level of significance has been accepted to p-value=0.05.…”
Section: Resultsmentioning
confidence: 99%
“…Goodness of fit was evaluated with the Hosmer-Lemeshow test [26]. We also used a bootstrap routine [27] to develop confidence intervals for days at large when 50% of the fish had either one-or-more or two-or-more sutures.…”
Section: Methodsmentioning
confidence: 99%
“…(1) was achieved by a generalised nonlinear least-squares routine from the nlme library (Pinheiro et al 2014) for the software R (R Core Team 2016), by which heterogeneous errors were accounted for and assumptions of the full model (fitted on data from natural beds and culture plots together) were met by the data. Growth between mussels on natural beds and culture plots was compared following the likelihood methodology of Kimura (1980) and its implementation by Ogle (2015a), with the help of the FSA package for R (Ogle 2015b). In this method, a complex model with all parameters of the VBGF different for natural beds and culture plots are compared to simpler nested models, with 1 or more VBGF parameters in common.…”
Section: Growthmentioning
confidence: 99%