PairViz installation | Graphs | Traversing graph edges | Edge traversal of a weighted graph | Edge traversal of a complete graph | Edge traversal of a complete graph via Hamiltonian decompositions | Edge traversal of a weighted complete graph via hamiltonian decompositions | Comparisions of edge traversals on an unweighted complete graph | Comparisions of edge traversals on an weighted complete graph | References

Calculating correlation and other association measures | Calculating multiple measures | Calculating grouped measures | Scagnostic measures | Converting symmetric matrices to pairwise and vice-versa. | Converting structures from package correlation:

Visualising associations | Visualising multiple scores | Visualising multiple scagnostic scores | Linear display for filtered pairwise objects

Displaying a correlation matrix | Displaying a pairs plot with coloured panels | Displaying a PCP plot with coloured panels | Plotting re-ordered dendrograms. | More algorithms

Using data structures from bullseye with other packages | corrplot visualisations | linkspotter visualisations | Using bullseye visualisations with other packages. | Using other visualisations with bullseye results.

Cancer treatment groups | Layout via graph structure | Pairwise tests | (Aside) Construction and display of the graph | Visiting edges and nodes | Multiple comparisons with Tukey's HSD | Boxplots With Pairwise Testing: Vitamin C | Subsets of comparisons: Mice Diets | Boxplots With Pairwise Testing: Mice Diets

Ozone data | Two section variables | Comparing two fits | Confidence intervals | Tour controls | Example : A density estimate | References

Classification: | Tour controls | Regression:

Classification: MclustDA | Density estimation | Clustering example

Regression | Classification | Clustering

Regression | Classification | Survival | Clustering

Correlation guided plots of mtcars using Hamiltonians | Scagnostic guided plots of sleep data using Hamiltonians | Scagnostic guided plots of sleep data using Eulerians | Focus on interesting plots

The summary or drop1 display | The anova display | The Parallel coordinates plot display | Individual plots