AgroReg: main regression models in agricultural sciences implemented as an R Package

Abstract

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental results, mainly because much of the existing software perform this analysis and a lack of knowledge of other models. On the other hand, many of the natural phenomena do not present such behavior; nevertheless, the use of non-linear models is costly and requires advanced knowledge of language programming such as R. Thus, this work presents several regression models found in scientific studies, implementing them in the form of an R package called AgroReg. The package comprises 44 analysis functions with 66 regression models such as polynomial, non-parametric (loess), segmented, logistic, exponential, and logarithmic, among others. The functions provide the coefficient of determination (R 2 ), model coefficients and the respective p-values from the t-test, root mean square error (RMSE), Akaike's information criterion (AIC), Bayesian information criterion (BIC), maximum and minimum predicted values, and the regression plot. Furthermore, other measures of model quality and graphical analysis of residuals are also included. The package can be downloaded from the CRAN repository using the command: install.packages("AgroReg"). AgroReg is a promising analysis tool in agricultural research on account of its user-friendly and straightforward functions that allow for fast and efficient data processing with greater reliability and relevant information.

Effect of Flowering Strips in Associated Broccoli and Lettuce Crops on Increasing Land Use Efficiency

“…To compare treatment means, Tukey's test (p = 0.05) was utilised. The analysis was performed using R software v.4.3.1 [40] and the AgroR package [41]. The data underwent the Shapiro-Wilk normality test and Bartlett's homogeneity test.…”

Complete genome sequence of Bacillus velezensis strain Ag109, a biocontrol agent against plant-parasitic nematodes and Sclerotinia sclerotiorum

“…When the assumptions were met, they were subjected to Tukey's means comparison test (p < 0.01). Data were analyzed by the R program using the AgroR package [35].…”

Discrepancy between the crop yield goal rate and the optimum nitrogen rates for maize production in Mississippi

“…The AONR data for the combined years, by year, and by location per year data was calculated by fitting the yield to the applied total N rates in linear, quadratic, linear plateau, and quadratic plateau models in R version 4.0.2 statistical software (R Core Team, 2021) with the ‘easynls’ (Arnhold, 2017) and ‘Agroreg’ packages (Shimizu & Goncalves, 2022). The Tidyverse package was used for data handling, manipulation, and visualization (Wickham et al., 2019).…”