Sample size assessments for thermal physiology studies: An R package and R Shiny application

被引：0

作者：

van Steenderen, Clarke J. M. ^{[1
,4
]}

Sutton, Guy F. ^{[1
]}

Owen, Candice A. ^{[2
]}

Martin, Grant D. ^{[1
,3
]}

Coetzee, Julie A. ^{[1
]}

机构：

[1] Rhodes Univ, Ctr Biol Control, Dept Zool & Entomol, Makhanda Grahamstown, South Africa

[2] Univ Chester, Dept Biol Sci, Chester, England

[3] Univ Free State, Dept Zool & Entomol, Afromontane Res Unit, Phuthaditjhaba, South Africa

[4] Rhodes Univ, Ctr Biol Control, Dept Zool & Entomol, ZA-6139 Makhanda Grahamstown, Eastern Cape, South Africa

来源：

PHYSIOLOGICAL ENTOMOLOGY | 2023年 / 48卷 / 04期

基金：

新加坡国家研究基金会;

关键词：

CTL; R Shiny; sample size; thermal tolerance; ECCRITOTARSUS-CATARINENSIS; STATISTICAL POWER; INSECTS; LIMITS;

D O I：

10.1111/phen.12416

中图分类号：

Q96 [昆虫学];

学科分类号：

摘要：

Required sample sizes for a study need to be carefully assessed to account for logistics, cost, ethics and statistical rigour. For example, many studies have shown that methodological variations can impact the critical thermal limits (CTLs) recorded for a species, although studies on the impact of sample size on these measures are lacking. Here, we present ThermalSampleR; an R CRAN package and Shiny application that can assist researchers in determining when adequate sample sizes have been reached for their data. The method is particularly useful because it is not taxon specific. The Shiny application offers a user-friendly interface equivalent to the package for users not familiar with R programming. ThermalSampleR is accompanied by an in-built example dataset, which we use to guide the user through the workflow with a fully worked tutorial.

引用

页码：141 / 149

页数：9