Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. 
    The database is part of a family of resources catalogued at <https://nsides.io>. The database
    contains 17 tables where the description table provides a map between the fields the field's details. 
    The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. 
    The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated
    drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs.
    Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.

Optimized for handling complex datasets in environmental and ecological 
    research, this package offers functionality that is not fully met by 
    general-purpose packages. It provides two key functions, 'summarize_data()', 
    which summarizes datasets, and 'plot_means()', which creates plots with 
    error bars. The 'plot_means()' function incorporates error bars by default, 
    allowing quick visualization of uncertainties, crucial in ecological 
    studies. It also streamlines workflows for grouped datasets (e.g., 
    by species or treatment), making it particularly user-friendly and reducing 
    the complexity and time required for data summarization and visualization.

A collection of functions for analyzing data typically collected 
    or used by behavioral scientists. Examples of the functions include
    a function that compares groups in a factorial experimental design,
    a function that conducts two-way analysis of variance (ANOVA),
    and a function that cleans a data set generated by Qualtrics surveys.
    Some of the functions will require installing additional package(s).
    Such packages and other references are cited within the section
    describing the relevant functions. Many functions in this package
    rely heavily on these two popular R packages:
    Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
    Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.