Performs Correspondence Analysis on the given dataframe and plots the results in a scatterplot that emphasizes the geometric interpretation aspect of the analysis, following Borg-Groenen (2005) and Yelland (2010). It is particularly useful for highlighting the relationships between a selected row (or column) category and the column (or row) categories. See Borg-Groenen (2005, ISBN:978-0-387-28981-6); Yelland (2010) <doi:10.3888/tmj.12-4>.

Quantitative analysis to support companion animal population
    management. Some functions assist survey sampling tasks (calculate sample 
    size for simple and complex designs, select sampling units and estimate 
    population parameters) while others assist the modelling of population 
    dynamics. For demographic characterizations and population management 
    evaluations see: "Baquero, et al." (2018), 
    <doi:10.1016/j.prevetmed.2018.07.006>. For modelling of 
    population dynamics see: "Baquero et al." (2016),
    <doi:10.1016/j.prevetmed.2015.11.009>. For sampling methods
    see: "Levy PS & Lemeshow S" (2013), "ISBN-10: 0470040076"; 
    "Lumley" (2010), "ISBN: 978-0-470-28430-8".

Implements approximation methods for natural capital asset prices suggested by Fenichel and Abbott (2014) <doi:10.1086/676034> in Journal of the Associations of Environmental and Resource Economists (JAERE), Fenichel et al. (2016) <doi:10.1073/pnas.1513779113> in Proceedings of the National Academy of Sciences (PNAS), and Yun et al. (2017) in PNAS (accepted), and their extensions: creating Chebyshev polynomial nodes and grids, calculating basis of Chebyshev polynomials, approximation and their simulations for: V-approximation (single and multiple stocks, PNAS), P-approximation (single stock, PNAS), and Pdot-approximation (single stock, JAERE). Development of this package was generously supported by the Knobloch Family Foundation.

Explore calcium (Ca) and phosphate (Pi) homeostasis with two novel 'Shiny' apps, 
    building upon on a previously published mathematical model written in C, 
    to ensure efficient computations. The underlying model is accessible
    here <https://pubmed.ncbi.nlm.nih.gov/28747359/)>.
    The first application explores the fundamentals of Ca-Pi homeostasis, 
    while the second provides interactive case studies for in-depth exploration of the topic, 
    thereby seeking to foster student engagement and an integrative understanding of Ca-Pi regulation. 
    These applications are hosted at <https://rinterface.com/AppsPhysiol.html>.