Description: Linear and nonlinear regression analysis common in agricultural science papers (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes linear, quadratic, cubic, inverse quadratic, exponential, negative exponential, biexponential, Gaussian, three- or four-parameter logistic, four- or five-parameter Brain-Cousens logistic, four- or five-parameter Cedergreen-Ritz-Streibig logistic models. five parameters, Gompertz logistic, Michaelis-Menten, logarithmic, linear-linear segmented, linear-plate segmented, quadratic-plate segmented, nonparametric loess. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.

Description: Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.

Imports: drc, ggplot2, boot, minpack.lm, dplyr, rcompanion, broom, egg

Title: Data Analysis of Pesticide Application Technology
Maintainer: Rodrigo Yudi Palhaci Marubayashi <marubayashi@uel.br>
Description: In total it has 7 functions, three for calculating machine calibration, which determine application rate (L/ha), nozzle flow (L/min) and amount of product (L or kg) to be added. to the tank with each sprayer filling. Two functions for graphs of the flow distribution of the nozzles (L/min) in the application bar and, of the temporal variability of the meteorological conditions (air temperature, relative humidity of the air and wind speed). Two functions to determine the spray deposit (uL/cm2), through the methodology called spectrophotometry, with the aid of bright blue (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005), <doi:10.1590/S0103-90162005000500005>) or metallic markers (Chaim, A., Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella, G. (1999), <doi:10.1590/S0100-204X1999000500003>). The package supports the analysis and representation of information, using a single free software that meets the most diverse areas of activity in application technology.
Imports: ggplot2, gridExtra, xlsx, readxl, ggrepel, stats, nortest,
Author: Rodrigo Yudi Palhaci Marubayashi [aut, cre]
Otavio Jorge Grigoli Abi Saab [aut, ctb]