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statforbiology

Overview

This is the companion R package to the blog Fixing the bridge between biologists and statisticians. It contains several miscellaneous utilities to perform statistical analyses of data in agriculture and biology.

Installation

The package is freely available on CRAN (stable version) and github (development version). Instructions for installation are also provided at this link. Please note that the 'devtools' package is necessary, and must be available prior to the installation of 'statforbiology'.

# You can install statforbiology from GitHub
# install.packages("devtools")
# devtools::install_github("onofriAndreaPG/statforbiology")

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Version

Install

install.packages('statforbiology')

Monthly Downloads

317

Version

0.9.9

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/OnofriAndreaPG/statforbiology

Maintainer

Andrea Onofri

Last Published

October 21st, 2024

Functions in statforbiology (0.9.9)

Bragg's Equation

Lorentz equation

Power curve equation

Pairwise comparisons of model parameters for nls objects

Check linear models for homoscedasticity

Growth of sugarbeet in weed-infested and weed-free conditions

Prints an ANOVA table for an 'aovList' object

Biplots for AMMI and GGE analyses of multi-environment genotype experiments

Compare regression curves in a pairwise fashion

Pairwise contrast matrix

Linear/nonlinear contrasts of model parameters

Moving average for a vector

Transform-both-sides (TBS) method for nonlinear regression

Plotting diagnostics for an nls object

Pairwise comparisons between the numeric elements of a vector

Soil degradation kinetic for a herbicide

Residual deviance for a non-linear regression fit.

Simple polynomial regression functions

Get the data for plotting with ggplot()

Get one of the available datasets

Negative exponential functions

angularTransform

Angular transformation for percentages

Efficacy of the mixture of two herbicides

Degradation of metamitron in soil with co-applied herbicides

AMMI analysis for multienvironment genotype experiments

Canonical variate analysis for multienvironment and multitrait genotype experiments

Logistic equations

Weibull equation (Type I)

Weibull equation (Type II)

Log-logistic equation

GGE analysis for multienvironment genotype experiments

Rectangular hyperbola for yield/weed density relationship

Exponential decay function

Modified Gompertz equations

Goodness of fit for nonlinear regression

Yield loss equation (Rectangular hyperbola)

Logarithmic curve

Gompertz equations

Exponential growth function

Asymptotic functions

Simple linear regression functions