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McLean, D. J.

Publications and source records attributed to McLean, D. J..

2 recordsLinked to original sources

Sexual Dimorphism in Jump Kinematics and Choreography in Peacock Spiders

Jumping requires a rapid release of energy to propel an animal. Terrestrial animals achieve this by relying on the power generated by muscles, or by storing and rapidly releasing elastic energy. Jumping spiders rely on hydraulic pressure and muscular action to propel their jump. Though males and females of jumping spiders vary in size, sex-specific differences in jumping have never been studied. We investigated sexual dimorphism in the jump kinematics of an Australian Peacock spider, Maratus splendens. We recorded locomotory jumps in males and females using high-speed videography (5000 frames per second). We determined the centre of mass of the animals using {micro}CT and tracked its displacement during a jump. We found that although females weighed more than twice as much as males, both had similar accelerations and take-off velocities. Males had shorter jump take-off duration, steeper take-off angle and experienced higher g-force compared to the females. We examine the jump choreography of male and female spiders and explore the factors behind the differences in their jump kinematics.

animal behavior and cognition↗

Durga: An R package for effect size estimation and visualisation

O_LIStatistical analysis and data visualisation are integral parts of science communication. One of the major issues in current data analysis practice is an over-dependency on - and misuse of - p-values. Researchers have been advocating for the estimation and reporting of effect sizes for quantitative research to enhance the clarity and effectiveness of data analysis. Reporting effect sizes in scientific publications has until now been mainly limited to numeric tables, even though effect size plotting is a more effective means of communicating results, however, statistical software for plotting effect sizes is currently limited. C_LIO_LIWe have developed the Durga R package to estimate and plot effect sizes. Durga allows users to estimate unstandardised and standardised effect sizes and bootstrapped confidence intervals of the effect sizes. The central functionality of Durga is to combine effect size visualisations with traditional plotting methods. C_LIO_LIDurga is a powerful statistical and data visualisation package that is easy to use, providing the flexibility to estimate effect sizes of paired and unpaired data using different statistical methods. Durga provides a plethora of options for plotting effect size, which allows users to plot data in the most informative and aesthetic way. C_LIO_LIHere, we introduce the package and its various functions. We further describe a workflow for estimating and plotting effect sizes using example data sets. C_LI

evolutionary biology↗