Provides data sets and R Codes for E.R. Williams, C.E. Harwood and A.C. Matheson (2023). Experimental Design and Analysis for Tree Improvement, CSIRO Publishing.

Import US Census Bureau, Education Demographic and Geographic Estimates Program,
  Composite School District Boundaries Files for 2013-2019 with the option to attach the 'EdBuild'
  master dataset of school district finance, student demographics, and community economic
  indicators for every school district in the United States. The master dataset is built
  from the US Census, Annual Survey of School System Finances (F33) and joins data from the
  National Center for Education Statistics, Common Core of Data; the US Census, Small Area
  Income and Poverty Estimates; and the US Census, Education Demographic and Geographic
  Estimates. Additional functions in the package create a dataset of all pairs of school
  district neighbors as either a dataframe or a shapefile and create formatted maps of
  selected districts at the state or neighbor level, symbolized by a selected variable
  in the 'EdBuild' master dataset. For full details about 'EdBuild' data processing please
  see 'EdBuild' (2020) <http://data.edbuild.org/>.

A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.

This is the course package for the exercise portion of the "Ecological Data Collection and Processing" course.

Compute a cyclist's Eddington number, including efficiently
    computing cumulative E over a vector. A cyclist's Eddington number
    <https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling>
    is the maximum number satisfying the condition such that a cyclist has
    ridden E miles or greater on E distinct days. The algorithm in this package
    is an improvement over the conventional approach because both summary
    statistics and cumulative statistics can be computed in linear time, since
    it does not require initial sorting of the data. These functions may also be
    used for computing h-indices for authors, a metric described by Hirsch (2005)
    <doi:10.1073/pnas.0507655102>. Both are specific applications of computing
    the side length of a Durfee square <https://en.wikipedia.org/wiki/Durfee_square>.