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biotools (version 1.2)

Tools for Biometry and Applied Statistics in Agricultural Science

Description

This package contains tools designed to perform and work with cluster analysis, discriminant analysis and path analysis (standard and with 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

1.2

License

GPL (>= 2)

Maintainer

Anderson da Silva

Last Published

May 25th, 2014

Functions in biotools (1.2)

biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science
aer

Apparent Error Rate
boxM

Box's M-test
confusionmatrix

Confusion Matrix
D2.dist

Pairwise Squared Generalized Mahalanobis Distances
optimumplotsize

Maximum Curvature Point for Optimum Plot Size
multcor.test

Pairwise Correlation t-Test
singh

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

Tocher's Clustering
pathanalysis

Path Analysis, Simple and Under Collinearity
creategroups

Creating Homogeneous Groups
D2.disc

Discriminant Analysis Based on Mahalanobis Distance
findSubsample

Finding an Optimized Subsample
garlicdist

Distances Between Garlic Cultivars
fitplotsize

Parameter Estimation of the Plot Size Model
samplesize

Minimum Sample Size
peppercorr

Correlations Between Pepper Variables
coph.tocher

Cophenetic Distances for Tocher's Clustering
distClust

Cluster Distance Matrix