Tools for Biometry and Applied Statistics in Agricultural Science
Apparent Error Rate
Tools for Biometry and Applied Statistics in Agricultural Science
Box's M-test
Confusion Matrix
Partial Covariance Matrix
Creating Homogeneous Groups
Discriminant Analysis Based on Mahalanobis Distance
Pairwise Squared Generalized Mahalanobis Distances
Cluster Distance Matrix
Finding an Optimized Subsample
Parameter Estimation of the Plot Size Model
Testing Genetic Covariance
Germination Count Range Test for Seed Sample Heterogeneity
Power of Mantel's Test
Mantel's Permutation Test
Pairwise Correlation t-Test
Multivariate Pairwise Comparisons
Maximum Curvature Point for Optimum Plot Size
Path Analysis, Simple and Under Collinearity
Raising a Square Matrix to a Power
Minimum Sample Size
Spatial Analysis of Gene Diversity
Importance of Variables According to the Singh (1981) Criterion
Spatial Predictions Based on the Circular Variable-Radius Moving Windo...
Tocher's Clustering
Tools designed to perform and evaluate cluster analysis (including Tocher's algorithm), discriminant analysis and path analysis (standard and under collinearity), as well as some useful miscellaneous tools for dealing with sample size and optimum plot size calculations. A test for seed sample heterogeneity is now available. Mantel's permutation test can be found in this package. A new approach for calculating its power is implemented. biotools also contains tests for genetic covariance components. Heuristic approaches for performing non-parametric spatial predictions of generic response variables and spatial gene diversity are implemented.