| biotools-package {biotools} | R Documentation |
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.
Details
| Package: | biotools |
| Type: | Package |
| Version: | 4.2 |
| Date: | 2021-08-06 |
| License: | GPL (>= 2) |
Note
biotools is an ongoing project. Any and all criticism, comments and suggestions are welcomed.
Author(s)
Anderson Rodrigo da Silva
Maintainer: Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
References
Rao, R.C. (1952) Advanced statistical methods in biometric research. New York: John Wiley & Sons.
Sharma, J.R. (2006) Statistical and biometrical techniques in plant breeding. Delhi: New Age International.
Da Silva, A.R.; Malafaia, G.; Menezes, I.P.P. (2017) biotools: an R function to predict spatial gene diversity via an individual-based approach. Genetics and Molecular Research, 16: gmr16029655.
Da Silva, A.R., Silva, A.P.A., Tiago-Neto, L.J. (2020) A new local stochastic method for predicting data with spatial heterogeneity. ACTA SCIENTIARUM-AGRONOMY, 43: e49947.
Silva, A.R. & Dias, C.T.S. (2013) A cophenetic correlation coefficient for Tocher's method. Pesquisa Agropecuaria Brasileira, 48: 589-596.
Da Silva, A.R. (2020). On testing for seed sample heterogeneity with the exact probability distribution of the germination count range. Seed Science Research, 30(1): 59-63.