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gexp: package overview1 months ago
Simulating a Completely Randomized Design (CRD) | Univariate case | $$\begin | Multivariate Case | $$\begin | Simulating a Randomized Completely Block Design (RCBD) | Simulating a Latin Square Design (LSD) | $$\begin | Factorial Experiments | CRD | $$\begin | Split-plot experiments | $$\begin | Simulating a CRD with a quantitative factor | Non-Orthogonal Contrast | Linear Effect | $$\begin | Quadratic effect | Factorial CRD with two quantitative factors | Linear response surface | Quadratic response surface | Experimental planning | Non-interactive layouts | RCBD without repetition | RCBD with repetition | LSD | Factorial - CRD | Split-plot - CRD | Interactive | References
Introduction to the ScottKnott Package1 months ago
Overview | 1. Quick Start - Completely Randomized Design (CRD) | 2. Accepted Input Classes | 3. Unbalanced Data | 4. Randomized Complete Block Design (RCBD) | 5. Significance Level | 6. Factorial Experiment (FE) | 7. Split-Plot Experiment (SPE) | 8. Visualisation Options | 8.1 Dispersion bars | 8.2 Comparing all four options | 8.3 Boxplot | 9. Tabular Output | 10. Mixed Models with lme4 | References
Introduction to the ScottKnott Package (PDF)1 months ago
Overview | Quick Start — Completely Randomized Design (CRD) | Accepted Input Classes | Unbalanced Data | Randomized Complete Block Design (RCBD) | Significance Level | Factorial Experiment (FE) | Split-Plot Experiment (SPE) | Visualisation Options | Tabular Output | Mixed Models with lme4 | References
Introduction to the TukeyC Package2 months ago
Overview | 1. Quick Start - Completely Randomized Design (CRD) | 2. Accepted Input Classes | 3. Unbalanced Data | 4. Randomized Complete Block Design (RCBD) | 5. Significance Level | 6. Factorial Experiment (FE) | 7. Split-Plot Experiment (SPE) | 8. Visualisation Options | 8.1 Dispersion bars | 8.2 Comparing all four options | 8.3 Boxplot | 9. Tabular Output | 10. Mixed Models with lme4 | References
Introduction to the TukeyC Package (PDF)2 months ago
Overview | Quick Start — Completely Randomized Design (CRD) | Accepted Input Classes | Unbalanced Data | Randomized Complete Block Design (RCBD) | Significance Level | Factorial Experiment (FE) | Split-Plot Experiment (SPE) | Visualisation Options | Tabular Output | Mixed Models with lme4 | References