Tools for Data Analyses in Biology
AMMI analysis for multienvironment genotype experiments
Angular transformation for percentages
Prints an ANOVA table for an 'aovList' object
Biplots for AMMI and GGE analyses of multi-environment genotype experi...
Transform-both-sides (TBS) method for nonlinear regression
Check linear models for homoscedasticity
Pairwise comparisons of model parameters for nls objects
Compare regression curves in a pairwise fashion
Pairwise contrast matrix
Canonical variate analysis for multienvironment and multitrait genotyp...
Residual deviance for a non-linear regression fit.
Get one of the available datasets
Get the data for plotting with ggplot()
GGE analysis for multienvironment genotype experiments
Linear/nonlinear contrasts of model parameters
Moving average for a vector
Pairwise comparisons between the numeric elements of a vector
Plotting diagnostics for an nls
object
Goodness of fit for nonlinear regression
Asymptotic functions
Beta equation
Bragg's Equation
Rectangular hyperbola for yield/weed density relationship
Modified Gompertz equations
Exponential decay function
Exponential growth function
Gompertz equations
Logistic equations
Simple linear regression functions
Log-logistic equation
Logarithmic curve
Lorentz equation
Negative exponential functions
Simple polynomial regression functions
Power curve equation
Weibull equation (Type I)
Weibull equation (Type II)
Yield loss equation (Rectangular hyperbola)
Contains several tools for nonlinear regression analyses and general data analysis in biology and agriculture. Contains also datasets for practicing and teaching purposes. Supports the blog: Onofri (2024) "Fixing the bridge between biologists and statisticians" <https://www.statforbiology.com> and the book: Onofri (2024) "Experimental Methods in Agriculture" <https://www.statforbiology.com/_statbookeng/>. The blog is a collection of short articles aimed at improving the efficiency of communication between biologists and statisticians, as pointed out in Kozak (2016) <doi:10.1590/0103-9016-2015-0399>, spreading a better awareness of the potential usefulness, beauty and limitations of biostatistic.
Useful links