The soiltestcorr R package: An accessible framework for reproducible correlation analysis of crop yield and soil test data

Adrian A. Correndo, Austin Pearce, Carl H. Bolster, John T. Spargo, Deanna Osmond, Ignacio A. Ciampitti

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The soiltestcorr R package is an open-source software designed to enable accessible and reproducible computation of correlation analyses between crop yield response to fertilization and soil test values. The package compiles a series of functions for analyzing soil test correlation data: (i) Cate & Nelson data partitioning procedure (graphical and statistical versions), (ii) nonlinear regression analysis (linear-plateau, quadratic-plateau, and Mitscherlich-type exponential models), and (iii) the modified arcsine-log calibration curve. The soiltestcorr enables users to correlate crop response to soil nutrient availability and estimate a critical soil test value and visualize results with ggplot without requiring advanced R programming skills. Finally, a web application that facilitates the use of the package is also offered for users with no background in R programming.

Original languageEnglish (US)
Article number101275
JournalSoftwareX
Volume21
DOIs
StatePublished - Feb 2023

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

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