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).

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>.

Tools designed to perform and evaluate cluster analysis (including Tocher's algorithm), 
	discriminant analysis and path analysis (standard and under collinearity), as well as some 
	useful miscellaneous tools for dealing with sample size and optimum plot size calculations. 
	A test for seed sample heterogeneity is now available. Mantel's permutation test can be found in this package. 
	A new approach for calculating its power is implemented. biotools also contains tests for genetic covariance components.
	Heuristic approaches for performing non-parametric spatial predictions of generic response variables and 
	spatial gene diversity are implemented.