Package: AgroReg 1.2.10

AgroReg: Regression Analysis Linear and Nonlinear for Agriculture

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.

Authors:Gabriel Danilo Shimizu [aut, cre], Leandro Simoes Azeredo Goncalves [aut, ctb]

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AgroReg.pdf |AgroReg.html✨
AgroReg/json (API)
NEWS

# Install 'AgroReg' in R:

install.packages('AgroReg', repos = c('https://gabrielshimizu.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

aristolochia - Dataset: Aristolochia
granada - Dataset: Granada

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 101 scripts 504 downloads 58 exports 114 dependencies

Last updated 10 months agofrom:c5bd859520. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 20 2024
R-4.5-win	OK	Nov 20 2024
R-4.5-linux	OK	Nov 20 2024
R-4.4-win	OK	Nov 20 2024
R-4.4-mac	OK	Nov 20 2024
R-4.3-win	OK	Nov 20 2024
R-4.3-mac	OK	Nov 20 2024

Exports:adjust_scale adjust_scale_x adjust_scale_y AM asymptotic asymptotic_i asymptotic_ineg asymptotic_neg BC beta_reg biexponential CD coloredit_arrange comparative_model correlation extract.model gaussianreg GP hill interval.confidence linear.linear linear.plateau LL LM LM_i LM13 LM13i LM23 LM23i LM2i3 loessreg LOG LOG2 logistic lorentz midilli midillim mitscherlich MM newton Nreg PAGE peleg plateau.linear plateau.quadratic plot_arrange plquadratic potential quadratic.plateau regression SH stat_param thompson valcam VB VG weibull yieldloss

Dependencies:abind askpass backports bit bit64 boot broom car carData cellranger class cli clipr codetools coin colorspace cowplot cpp11 crayon curl data.table Deriv DescTools doBy dplyr drc e1071 egg Exact expm fansi farver forcats Formula generics ggplot2 gld glue gridExtra gtable gtools haven hms httr isoband jsonlite labeling lattice libcoin lifecycle lme4 lmom lmtest magrittr MASS Matrix MatrixModels matrixStats mgcv microbenchmark mime minpack.lm minqa modelr modeltools multcomp multcompView munsell mvtnorm nlme nloptr nnet nortest numDeriv openssl pbkrtest pillar pkgconfig plotrix plyr prettyunits progress proxy purrr quantreg R6 RColorBrewer rcompanion Rcpp RcppEigen readr readxl rematch rlang rootSolve rstudioapi sandwich scales SparseM stringi stringr survival sys TH.data tibble tidyr tidyselect tzdb utf8 vctrs viridisLite vroom withr zoo

Help page	Topics
Utils: Adjust y and x scale	adjust_scale
Utils: Adjust x scale	adjust_scale_x
Utils: Adjust y scale	adjust_scale_y
Analysis: Avhad and Marchetti	AM
Dataset: Aristolochia	aristolochia
Analysis: Asymptotic, exponential or Logarithmic	asymptotic
Analysis: Asymptotic without intercept	asymptotic_i
Analysis: Asymptotic or Exponential Negative without intercept	asymptotic_ineg
Analysis: Asymptotic or Exponential Negative	asymptotic_neg
Analysis: Brain-Cousens	BC
Analysis: Beta	beta_reg
Analysis: Biexponential	biexponential
Analysis: Cedergreen-Ritz-Streibig	CD
Change the colors of a graph from the plot_arrange function	coloredit_arrange
Analysis: Comparative models	comparative_model
Graph: Plot correlation	correlation
Analysis: Extract models	extract.model
Analysis: Analogous to the Gaussian model/Bragg	gaussianreg
Analysis: Gompertz	GP
Dataset: Granada	granada
Analysis: Hill	hill
Analysis: Interval of confidence	interval.confidence
Analysis: Linear-Linear	linear.linear
Analysis: Linear-Plateau	linear.plateau
Analysis: Log-logistic	LL
Analysis: Linear, quadratic, quadratic inverse, cubic and quartic	LM
Analysis: Linear, quadratic, quadratic inverse, cubic and quartic without intercept	LM_i
Analysis: Cubic without beta2	LM13
Analysis: Cubic inverse without beta2	LM13i
Analysis: Cubic without beta1	LM23
Analysis: Cubic inverse without beta1	LM23i
Analysis: Cubic without beta1, with inverse beta3	LM2i3
Analysis: loess regression (degree 0, 1 or 2)	loessreg
Analysis: Logarithmic	LOG
Analysis: Logarithmic quadratic	LOG2
Analysis: Logistic	logistic
Analysis: Lorentz	lorentz
Analysis: Midilli	midilli
Analysis: Modified Midilli	midillim
Analysis: Mitscherlich	mitscherlich
Analysis: Michaelis-Menten	MM
Analysis: Newton	newton
Analysis: Graph for not significant trend	Nreg
Analysis: Page	PAGE
Analysis: Peleg	peleg
Analysis: Plateau-Linear	plateau.linear
Analysis: Plateau-quadratic	plateau.quadratic plquadratic
Merge multiple curves into a single graph	plot_arrange
Analysis: Potencial	potential
Analysis: Quadratic-plateau	quadratic.plateau
Analysis: Regression linear or nonlinear	regression
Analysis: Steinhart-Hart	SH
Analysis: Other statistical parameters	stat_param
Analysis: Thompson	thompson
Analysis: Valcam	valcam
Analysis: Von Bertalanffy	VB
Analysis: Vega-Galvez	VG
Analysis: Weibull	weibull
Analysis: Yield-loss	yieldloss

Package: AgroReg 1.2.10

AgroReg: Regression Analysis Linear and Nonlinear for Agriculture

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Help Manual

Usage by other packages (reverse dependencies)