Provides functions and datasets from Jones, O.D., R. Maillardet, and A.P. Robinson.  2014.  An Introduction to Scientific Programming and Simulation, Using R. 2nd Ed. Chapman And Hall/CRC.

Set of tools for peak filtering of mass spectrometry
  imaging data based on spatial distribution of signal. Given a 
  region-of-interest, representing the spatial region where the informative
  signal is expected to be localized, a series of filters determine which peak
  signals are characterized by an implausible spatial distribution. The filters
  reduce the dataset dimension and increase its information vs noise ratio,
  improving the quality of the unsupervised analysis results, reducing data
  dimension and simplifying the chemical interpretation.
  The methods are described in Inglese P. et al (2019) <doi:10.1093/bioinformatics/bty622>.

Data on the Spy vs. Spy comic strip of Mad magazine, created and
   written by Antonio Prohias.

The overall performance of soil ecosystem services and productivity greatly relies on soil health, making it a crucial indicator. The evaluation of soil physical, chemical, and biological parameters is necessary to determine the overall soil quality index. In our package, three commonly used methods, including linear scoring, regression-based, and principal component-based soil quality indexing, are employed to calculate the soil quality index. This package has been developed using concept of Bastida et al. (2008) and Doran and Parkin (1994) <doi:10.1016/j.geoderma.2008.08.007> <doi:10.2136/sssaspecpub35.c1>.

Runs 'SQL' statements on in-memory data frames within a temporary in-memory 'duckdb' data base.

Includes built-in methods for generating long 'SQL' CASE statements,
             and other 'SQL' statements that may otherwise be arduous to construct
             by hand. The generated statement can easily be concatenated to string
             literals to form queries to 'SQL'-like databases, such as when using 
             the 'RODBC' package. The current methods include casewhen() for building 
             CASE statements, inlist() for building IN statements, and
             updatetable() for building UPDATE statements.