statforbiology0.9.9 package

Tools for Data Analyses in Biology

AMMI

AMMI analysis for multienvironment genotype experiments

angularTransform

Angular transformation for percentages

anova.aovList

Prints an ANOVA table for an 'aovList' object

biplot.AMMI

Biplots for AMMI and GGE analyses of multi-environment genotype experi...

boxcox.nls

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

check.hom

Check linear models for homoscedasticity

compCoefs

Pairwise comparisons of model parameters for nls objects

compCurves

Compare regression curves in a pairwise fashion

contr.Tukey

Pairwise contrast matrix

CVA

Canonical variate analysis for multienvironment and multitrait genotyp...

deviance.drc

Residual deviance for a non-linear regression fit.

getAgroData

Get one of the available datasets

getPlotData

Get the data for plotting with ggplot()

GGE

GGE analysis for multienvironment genotype experiments

gnlht

Linear/nonlinear contrasts of model parameters

ma

Moving average for a vector

pairComp

Pairwise comparisons between the numeric elements of a vector

plotnls

Plotting diagnostics for an nls object

R2nls

Goodness of fit for nonlinear regression

SSasymReg

Asymptotic functions

SSbeta

Beta equation

SSbragg

Bragg's Equation

SScousens85

Rectangular hyperbola for yield/weed density relationship

SSE

Modified Gompertz equations

SSexpoDecay

Exponential decay function

SSexpoGrowth

Exponential growth function

SSGompertz

Gompertz equations

SSL

Logistic equations

SSlinear

Simple linear regression functions

SSLL

Log-logistic equation

SSlogCurve

Logarithmic curve

SSlorentz

Lorentz equation

SSnegExp

Negative exponential functions

SSpoly2

Simple polynomial regression functions

SSpowerCurve

Power curve equation

SSW1

Weibull equation (Type I)

SSW2

Weibull equation (Type II)

SSYL

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.

  • Maintainer: Andrea Onofri
  • License: GPL-3
  • Last published: 2024-10-21