AgroR - Experimental Statistics and Graphics for Agricultural Sciences
Performs the analysis of completely randomized
experimental designs (CRD), randomized blocks (RBD) and Latin
square (LSD), experiments in double and triple factorial scheme
(in CRD and RBD), experiments in subdivided plot scheme (in CRD
and RBD), subdivided and joint analysis of experiments in CRD
and RBD, linear regression analysis, test for two samples. The
package performs analysis of variance, ANOVA assumptions and
multiple comparison test of means or regression, according to
Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric
test (Conover, 1999, ISBN: 0471160687), test for two samples,
joint analysis of experiments according to Ferreira (2018,
ISBN: 978-85-7269-566-4) and generalized linear model (glm) for
binomial and Poisson family in CRD and RBD (Carvalho, FJ
(2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used
to obtain descriptive measures and graphics, in addition to
correlations and creative graphics used in agricultural
sciences (Agronomy, Zootechnics, Food Science and related
areas). Shimizu, G. D., Marubayashi, R. Y. P., Goncalves, L. S.
A. (2025) <doi:10.4025/actasciagron.v47i1.73889>.
