Datasets and functions for the book "Initiation à la Statistique avec R", F. Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth edition).

Biostatistical and clinical data analysis, including descriptive 
    statistics, exploratory data analysis, sample size and power calculations, 
    statistical inference, and data visualization. Normality tests are 
    implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, 
    omnibus test procedures are based on Blanca et al. (2017) 
    <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), 
    while sample size and power calculation methods follow Chow et al. (2017) 
    <doi:10.1201/9781315183084>.

A set of user-friendly functions designed to fill gaps in existing introductory biostatistics R tools, making it easier for newcomers to perform basic biostatistical analyses without needing advanced programming skills.
 The methods implemented in this package are based on the works:
 Connor (1987) <doi:10.2307/2531961>
 Fleiss, Levin, & Paik (2013, ISBN:978-1-118-62561-3)
 Levin & Chen (1999) <doi:10.1080/00031305.1999.10474431>
 McNemar (1947) <doi:10.1007/BF02295996>.

Tools and code snippets for summarizing nested data, adverse events 
  and REDCap study information.

Calculates a range of UK freshwater invertebrate biotic indices
    including BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.

The 'BioTIME' database was first published in
    2018 and inspired ideas, questions, project and research
    article. To make it even more accessible, an R package
    was created.
    The 'BioTIMEr' package provides tools designed to interact with the
    'BioTIME' database. The functions provided include the 'BioTIME' recommended
    methods for preparing (gridding and rarefaction) time series data, a
    selection of standard biodiversity metrics (including species richness,
    numerical abundance and exponential Shannon) alongside examples on how to
    display change over time. It also includes a sample subset of both the query
    and meta data, the full versions of which are freely available on the 'BioTIME'
    website <https://biotime.st-andrews.ac.uk/home.php>.