Learn R Programming

The package biotools has been developed for helping biologists, ecologists and researchers of related fields to perform optimization cluster analysis, specifically using Tocher's methods, as well as to evaluate the quality of the clustering. For this last purpose, some new and standard methodologies are supplied: the cophenetic correlation coefficient, Box's M-test for equality of covariance matrices and discriminant analysis based on Mahalanobis distance. These two latter can also be used upon clustering obtained with other methods, including the hierarchical ones.

Users can also find some other useful tools, such as a function for performing the well known Mantel's test and for computing its simulated power, a function that allows one to perform path analysis dealing with collinearity and a function for determining the minimum sample size in a very general way.

Getting started

You can install the released version on CRAN directly from the R console, with:

install.packages("biotools")

Or you can install the development version from GitHub, using:

devtools::install_github("arsilva87/biotools")

Afterwards, just load it and it will be ready to use.

library("biotools")

Check the "Articles" menu to see illustrations of some of its functions. In the "Reference" menu you can find the complete documentation and examples of all functions and data sets.

Contact

biotools is an ongoing project. Contributions are very welcome. If you have a question or have found a bug, please open an or reach out directly by e-mail: anderson.silva@ifgoiano.edu.br.

Copy Link

Version

Install

install.packages('biotools')

Monthly Downloads

3,537

Version

4.3

License

GPL (>= 2)

Maintainer

Anderson da Silva

Last Published

April 2nd, 2025

Functions in biotools (4.3)

aer

Apparent Error Rate
D2.disc

Discriminant Analysis Based on Mahalanobis Distance
confusionmatrix

Confusion Matrix
cov2pcov

Partial Covariance Matrix
distClust

Cluster Distance Matrix
moco

Moco Cotton Data
findSubsample

Finding an Optimized Subsample
biotools-package

Tools for Biometry and Applied Statistics in Agricultural Science
boxM

Box's M-test
garlicdist

Distances Between Garlic Cultivars
D2.dist

Pairwise Squared Generalized Mahalanobis Distances
raise.matrix

Raising a Square Matrix to a Power
sHe

Spatial Analysis of Gene Diversity
brazil

Brazil Grid
mantelPower

Power of Mantel's Test
germinationcount.test

Germination Count Range Test for Seed Sample Heterogeneity
gencovtest

Testing Genetic Covariance
fitplotsize

Parameter Estimation of the Plot Size Model
mantelTest

Mantel's Permutation Test
maize

Maize Data
pathanalysis

Path Analysis, Simple and Under Collinearity
peppercorr

Correlations Between Pepper Variables
spatialpred

Spatial Predictions Based on the Circular Variable-Radius Moving Window Method
multcor.test

Pairwise Correlation t-Test
mvpaircomp

Multivariate Pairwise Comparisons
tocher

Tocher's Clustering
samplesize

Minimum Sample Size
optimumplotsize

Maximum Curvature Point for Optimum Plot Size
singh

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

Creating Homogeneous Groups