The Programme for International Student Assessment (PISA) is a global study conducted by the Organization for Economic Cooperation and Development (OECD) in member and non-member countries to assess educational systems by assessing 15-year-old school students academic performance in mathematics, science, and reading. This datasets contains information on their scores and other socioeconomic characteristics, information about their school and its infrastructure, as well as the countries that are taking part in the program.

Principal component analysis (PCA) is one of the most widely used data analysis techniques.  This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.

Conducts various numerical analyses and simulations in population genetics and evolutionary theory, primarily for the purpose of teaching (and learning about) key concepts in population & quantitative genetics, and evolutionary theory.

Create interactive tutorials using R Markdown. Use a
    combination of narrative, figures, videos, exercises, and quizzes to
    create self-paced tutorials for learning about R and R packages.

Data, scripts and code from chunks used as examples in the book 
   "Learn R: As a Language" 1ed and 2ed by Pedro J. Aphalo.
   ISBN 9780367182533 (pbk 1ed); ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed).

Supervised classification methods, which (if asked) can provide
    step-by-step explanations of the algorithms used, as described in
    PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to
    test them on, which highlight the strengths and weaknesses of each technique.

Calculates cost surfaces based on slope to be used when modelling pathways and movement potential within a landscape (Lewis, 2021) <doi:10.1007/s10816-021-09522-w>.

Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.