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| ScottKnott-package | The ScottKnott Clustering Algorithm |
| CRD1 | Completely Randomized Design (CRD) |
| CRD2 | Completely Randomized Design (CRD) |
| FE | Factorial Experiment (FE) |
| LSD | Latin Squares Design (LSD) |
| m.inf | Calculates the Means and Dispersion |
| m.inf.1a | Calculates the Means and Dispersion |
| m.inf.1b | Calculates the Means and Dispersion |
| m.inf.2a | Calculates the Means and Dispersion |
| m.inf.2b | Calculates the Means and Dispersion |
| m.inf.3a | Calculates the Means and Dispersion |
| m.inf.3b | Calculates the Means and Dispersion |
| MaxValue | Algorithm for Pre-order Path in Binary Decision Tree |
| plot.SK | Plot SK and SK.nest Objects |
| RCBD | Randomized Complete Block Design (RCBD) |
| ScottKnott | The ScottKnott Clustering Algorithm |
| SK | The ScottKnott Clustering Algoritm for Single Experiments |
| SK.aov | The ScottKnott Clustering Algoritm for Single Experiments |
| SK.aovlist | The ScottKnott Clustering Algoritm for Single Experiments |
| SK.default | The ScottKnott Clustering Algoritm for Single Experiments |
| SK.nest | The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments |
| SK.nest.aov | The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments |
| SK.nest.aovlist | The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments |
| SK.nest.default | The ScottKnott Clustering Algoritm for Factorial, Split-plot and Split-SPlit plot Experiments |
| sorghum | Completely Randomized Design (CRD) |
| SPE | Split-plot Experiment (SPE) |
| SPET | Split-plot Experiment in Time (SPET) |
| SSPE | Split-split-plot Experiment (SSPE) |
| summary.SK | Summary Method for SK and SK.nest Objects |
| summary.SK.nest | Summary Method for SK and SK.nest Objects |