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biotools (version 2.1)

Tools for Biometry and Applied Statistics in Agricultural Science

Description

Tools designed to perform and work with 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.

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Version

Install

install.packages('biotools')

Monthly Downloads

2,575

Version

2.1

License

GPL (>= 2)

Maintainer

Anderson da Silva

Last Published

May 9th, 2015

Functions in biotools (2.1)

confusionmatrix

Confusion Matrix
cov2pcov

Partial Covariance Matrix
D2.disc

Discriminant Analysis Based on Mahalanobis Distance
tocher

Tocher's Clustering
D2.dist

Pairwise Squared Generalized Mahalanobis Distances
garlicdist

Distances Between Garlic Cultivars
biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science
mantelTest

Mantel's Permutation Test
optimumplotsize

Maximum Curvature Point for Optimum Plot Size
samplesize

Minimum Sample Size
singh

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

Apparent Error Rate
fitplotsize

Parameter Estimation of the Plot Size Model
pathanalysis

Path Analysis, Simple and Under Collinearity
multcor.test

Pairwise Correlation t-Test
distClust

Cluster Distance Matrix
mantelPower

Power of Mantel's Test
boxM

Box's M-test
findSubsample

Finding an Optimized Subsample
coph.tocher

Cophenetic Distances for Tocher's Clustering
peppercorr

Correlations Between Pepper Variables
creategroups

Creating Homogeneous Groups
predict.D2.disc

Classify Multivariate Observations by Mahalanobis Distance