Experimental Designs Package
Test for Homogeneity of Variances: Bartlett
Multiple comparison: Bootstrap
Multiple comparison: Calinski and Corsten
One factor Completely Randomized Design
Multiple comparison: Duncan test
Double factorial scheme plus one additional treatment in CRD
Test for homogeneity of variances of Anscombe and Tukey
Double factorial scheme plus one additional treatment in RBD
Double factorial scheme plus two additional treatments in CRD
Double factorial scheme plus two additional treatments in RBD
Double factorial scheme in CRD
Double factorial scheme in RBD
Triple factorial scheme plus an additional treatment in CRD
Triple factorial scheme plus an additional treatment in RBD
Triple factorial scheme in CRD
Triple factorial scheme in RBD
Generalized inverse
Regression model plots
Test for homogeneity of variances of Han
Setting the last character of a chain
Latin Square Design
Test for homogeneity of variances of Layard
Test for homogeneity of variances of Levene
Multiple comparison: Least Significant Difference test
Multiple comparison: Bonferroni's Least Significant Difference test
Test for homogeneity of variances of ONeill and Mathews (RBD)
Test for homogeneity of variances of ONeill and Mathews (CRD)
Ordering the treatments according to the multiple comparison
Grouping the treatments averages in a comparison with a minimum value
Residual plots
Randomized Blocks Design
Non-linear Regression
Polinomial Regression
Test for homogeneity of variances of Samiuddin
Multiple comparison: Scott-Knott test
Multiple comparison: Student-Newman-Keuls test
Split-plots in CRD
Split-plots in RBD
Strip-plot experiments
Statistics of data grouped by factors
Multiple comparison: Tukey's test
Package for analysis of simple experimental designs (CRD, RBD and LSD), experiments in double factorial schemes (in CRD and RBD), experiments in a split plot in time schemes (in CRD and RBD), experiments in double factorial schemes with an additional treatment (in CRD and RBD), experiments in triple factorial scheme (in CRD and RBD) and experiments in triple factorial schemes with an additional treatment (in CRD and RBD), performing the analysis of variance and means comparison by fitting regression models until the third power (quantitative treatments) or by a multiple comparison test, Tukey test, test of Student-Newman-Keuls (SNK), Scott-Knott, Duncan test, t test (LSD) and Bonferroni t test (protected LSD) - for qualitative treatments; residual analysis (Ferreira, Cavalcanti and Nogueira, 2014) <doi:10.4236/am.2014.519280>.