Learn R Programming
⚠️There's a newer version (4.3) of this package.Take me there.

biotools (version 2.0)

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.

Copy Link

Version

Install

install.packages('biotools')

Monthly Downloads

2,575

Version

2.0

License

GPL (>= 2)

Maintainer

Anderson da Silva

Last Published

January 29th, 2015

Functions in biotools (2.0)

distClust

Cluster Distance Matrix
D2.dist

Pairwise Squared Generalized Mahalanobis Distances
garlicdist

Distances Between Garlic Cultivars
multcor.test

Pairwise Correlation t-Test
singh

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

Parameter Estimation of the Plot Size Model
creategroups

Creating Homogeneous Groups
findSubsample

Finding an Optimized Subsample
biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science
peppercorr

Correlations Between Pepper Variables
D2.disc

Discriminant Analysis Based on Mahalanobis Distance
coph.tocher

Cophenetic Distances for Tocher's Clustering
tocher

Tocher's Clustering
samplesize

Minimum Sample Size
confusionmatrix

Confusion Matrix
cov2pcov

Partial Covariance Matrix
aer

Apparent Error Rate
optimumplotsize

Maximum Curvature Point for Optimum Plot Size
pathanalysis

Path Analysis, Simple and Under Collinearity
boxM

Box's M-test
predict.D2.disc

Classify Multivariate Observations by Mahalanobis Distance