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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 |
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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 |