All functions

aer()

Apparent Error Rate

biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science

boxM()

Box's M-test

brazil

Brazil Grid

confusionmatrix()

Confusion Matrix

cov2pcov()

Partial Covariance Matrix

creategroups()

Creating Homogeneous Groups

D2.disc(<default>) print(<D2.disc>) predict(<D2.disc>)

Discriminant Analysis Based on Mahalanobis Distance

D2.dist()

Pairwise Squared Generalized Mahalanobis Distances

distClust()

Cluster Distance Matrix

findSubsample()

Finding an Optimized Subsample

fitplotsize()

Parameter Estimation of the Plot Size Model

garlicdist

Distances Between Garlic Cultivars

gencovtest(<manova>) print(<gencovtest>) plot(<gencovtest>)

Testing Genetic Covariance

germinationcount.test()

Germination Count Range Test for Seed Sample Heterogeneity

maize

Maize Data

mantelPower()

Power of Mantel's Test

mantelTest()

Mantel's Permutation Test

moco

Moco Cotton Data

multcor.test()

Pairwise Correlation t-Test

mvpaircomp() print(<mvpaircomp>)

Multivariate Pairwise Comparisons

optimumplotsize()

Maximum Curvature Point for Optimum Plot Size

pathanalysis()

Path Analysis, Simple and Under Collinearity

peppercorr

Correlations Between Pepper Variables

raise.matrix()

Raising a Square Matrix to a Power

samplesize()

Minimum Sample Size

sHe()

Spatial Analysis of Gene Diversity

singh(<default>) plot(<singh>)

Importance of Variables According to the Singh (1981) Criterion

spatialpred()

Spatial Predictions Based on the Circular Variable-Radius Moving Window Method

tocher(<dist>) print(<tocher>) cophenetic(<tocher>)

Tocher's Clustering