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biotools (version 4.2)

Tools for Biometry and Applied Statistics in Agricultural Science

Description

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.

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Version

Install

install.packages('biotools')

Monthly Downloads

5,030

Version

4.2

License

GPL (>= 2)

Maintainer

Anderson da Silva

Last Published

August 7th, 2021

Functions in biotools (4.2)

boxM

Box's M-test
brazil

Brazil Grid
D2.disc

Discriminant Analysis Based on Mahalanobis Distance
D2.dist

Pairwise Squared Generalized Mahalanobis Distances
aer

Apparent Error Rate
biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science
germinationcount.test

Germination Count Range Test for Seed Sample Heterogeneity
confusionmatrix

Confusion Matrix
garlicdist

Distances Between Garlic Cultivars
gencovtest

Testing Genetic Covariance
creategroups

Creating Homogeneous Groups
moco

Moco Cotton Data
multcor.test

Pairwise Correlation t-Test
distClust

Cluster Distance Matrix
mantelPower

Power of Mantel's Test
maize

Maize Data
optimumplotsize

Maximum Curvature Point for Optimum Plot Size
mvpaircomp

Multivariate Pairwise Comparisons
cov2pcov

Partial Covariance Matrix
fitplotsize

Parameter Estimation of the Plot Size Model
findSubsample

Finding an Optimized Subsample
spatialpred

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

Tocher's Clustering
mantelTest

Mantel's Permutation Test
singh

Importance of Variables According to the Singh (1981) Criterion
samplesize

Minimum Sample Size
pathanalysis

Path Analysis, Simple and Under Collinearity
peppercorr

Correlations Between Pepper Variables
raise.matrix

Raising a Square Matrix to a Power
sHe

Spatial Analysis of Gene Diversity