SoftwareX publication
Adrian Correndo
Source:vignettes/SoftwareX_publication.Rmd
SoftwareX_publication.Rmd
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