A picture of probability | Grad admissions to Berkeley (1973) | Conditional and marginal probabilites | geometry and probability | Marginal probabilities for the response | the water container metaphor | Bayes's theorem | Independence | Events | Coincident and complementary events | Mutually exclusive events | Positive and negative association | An association spectrum | Conditional Independence | Problems, puzzles, and paradoxes | References

tables | cross tabulation | listings (data frame rows) | fitted models | references

Independence | Of two variates | Conditionally | Water container metaphor | Independence when there are more than two variates | A prefix notation for independence | Three variates | The set of possibilities | Case 1: All three 3-way diagrams are flat | Case 2: one 4-flat, two 2 by 2-flats | Case 3: two 2 by 2-flats, one no-flat | Case 4: three no-flats | Case 4.1: No flats; no marginal independence | Case 4.2: No flats; one marginal independence | Case 4.3: No flats; two marginal independences | Case 4.4: No flats; three marginal independences | References

All pairs | Producing all pairs with PairViz | Example: Ground acceleration of earthquakes | Euler sequences via zenpath | Pairs plots versus zenplots | Visual search | Example: German election data | Groups of pairwise plots | All pairs by group | Crossing pairs between groups | Other plots | Built in 1d and 2d plots | Arbitrary layout using turns | Arbitrary plots | Example: mixing plots to assess distributions | Arguments to plot1d functions | Arguments to plot2d functions

2. Zenplots | 2.1 Layout | 3. Zenpaths | 4. Build your own zenplots | 4.3 Custom layout and plots -- a spiral of ggplots example | 4.4 Data groups | 4.5 Custom zenpaths | 5. Advanced features | 5.1 The structure of a zenplot | 5.2 Tools for writing 1d and 2d plot functions

l_plot() the basic loon plot | Direct manipulation on the plot | Panning | Zooming | Selecting | The inspector -- interacting with the plot | More on direct manipulation | on brushing | on selection | moving points | adding colours to the inspector | changing the inspector palette of colours | Programmatic manipulation | accessing the plot | printing the plot | getting plot contents | setting plot contents | Adding layers | Example: adding maps | Effect of scaling choices | the "Layers" tab | Syntax: loon's l_plot() is like base graphics plot() | l_hist() the loon histogram | Linking | linkingGroup | linking many plots | linkingKey | Three dimensional plots - l_plot3D | Extras | More examples | Other vignettes | loon demos | Extensions to loon via other packages | zenplots | Specialty loon extensions - loon. packages | More on grid graphics and loon

Interactive analysis and static plots | When interaction is only programmatic | Saving shapshots for later display. | Export from RStudio | Use l_export() | Use R's png() device | Including saved graphics in your report | Reconstruct the plot from saved states | A simple example | A more complex example

The cars of the 1974 Motor Trends magazine | Some interactive plots | Interactive logical operations | Missing data and linking keys | loon's linking model

Producing static grid plots | loonGrob(): loon --> grid object | multiple plots | the data structure returned by loonGrob() | changing a grid object: get, edit, set | getGrob() | editGrob() | setGrob() | adding an alpha channel to the points | helper functions from loon | e.g. missing title | e.g. missing labels | l_updateGrob() | What if ... | some points are invisible? | some points are not primitive glyphs? | Other packages | ggplots from loon.ggplot | shiny applications from loon.shiny

Illustrates: | The data: Bone mineral density | The scatterplot | Histogram | Panning and brushing | Adding a (dynamically changing) smooth | A smooth as a running linear fit

Definition | Normal theory relations | The Student t distribution | The functions | The density dkay(x, df, ...) | The cumulative distribution function pkay(x, df, ...) | The quantile function qkay(p, df, ...) | Pseudo-random realizations rkay(n, df, ...)