R: Tools for Biometry and Applied Statistics in Agricultural Science

# Tools for Biometry and Applied Statistics in Agricultural Science

## Documentation for package ‘biotools’ version 4.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

biotools-package | Tools for Biometry and Applied Statistics in Agricultural Science
aer | Apparent Error Rate
biotools | Tools for Biometry and Applied Statistics in Agricultural Science
boxM | Box's M-test
brazil | Brazil Grid
confusionmatrix | Confusion Matrix
coph.tocher | Tocher's Clustering
cophenetic.tocher | Tocher's Clustering
cov2pcov | Partial Covariance Matrix
creategroups | Creating Homogeneous Groups
D2.disc | Discriminant Analysis Based on Mahalanobis Distance
D2.disc.default | 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 | Testing Genetic Covariance
gencovtest.manova | 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 | Multivariate Pairwise Comparisons
optimumplotsize | Maximum Curvature Point for Optimum Plot Size
pathanalysis | Path Analysis, Simple and Under Collinearity
peppercorr | Correlations Between Pepper Variables
plot.gencovtest | Testing Genetic Covariance
plot.singh | Importance of Variables According to the Singh (1981) Criterion
predict.D2.disc | Discriminant Analysis Based on Mahalanobis Distance
print.D2.disc | Discriminant Analysis Based on Mahalanobis Distance
print.gencovtest | Testing Genetic Covariance
print.mvpaircomp | Multivariate Pairwise Comparisons
print.tocher | Tocher's Clustering
raise.matrix | Raising a Square Matrix to a Power
samplesize | Minimum Sample Size
sHe | Spatial Analysis of Gene Diversity
singh | Importance of Variables According to the Singh (1981) Criterion
singh.default | Importance of Variables According to the Singh (1981) Criterion
spatialpred | Spatial Predictions Based on the Circular Variable-Radius Moving Window Method
tocher | Tocher's Clustering
tocher.dist | Tocher's Clustering