SoftwareX publication
In soiltestcorr: Soil Test Correlation and Calibration

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width=6, 
  fig.height=4
)

Citation

Correndo, A. A., Pearce, A., Bolster, C. H., Spargo, J. T., Osmond, D., & Ciampitti, I. A. (2023). The soiltestcorr R package: An accessible framework for reproducible correlation analysis of crop yield and soil test data. SoftwareX, 21, 101275.

Highlights

soiltestcorr stemmed from the Fertilizer Recommendation Support Tool (FRST) project.
soiltestcorr is an accessible R package assembling key soil test correlation models.
soiltestcorr facilitates the fitting of multiple models without the need of advanced programming skills.
soiltestcorr aligns with the grammar, pipeline, and data visualization practices of the popular tidyverse.
A web application based on shiny is also offered for users with no programming skills.

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.

Full publication is open-access here https://doi.org/10.1016/j.softx.2022.101275