Generating an orbit | Shading in one call | Why aggregation wins | Mapping density to colour | Lining up with data axes | A gallery | Lines: dense timeseries | Segments: network edges | Keeping thin marks visible: spread | Recap | In a grammar

The scene graph | Units | The paint model | Gradients | Patterns | Masks and group opacity | Recap

The concept map | Side by side | What is different, and why | The builder is functional, not stateful | Metrics are eager, so there is no draw-time hook protocol | Units resolve eagerly, and mixed-unit arithmetic is restricted | The tree is retained and inspectable | vl_gpar inherits, but there is no cascade | Do I have to rewrite my grid code?

A first scene | Building a scene: push, draw, pop | Rendering to a file | Where to go next

How it works | A grid grob tree | A ggplot2 plot | When to use interop versus the native API

Naming nodes | Editing a node | Hit-testing | A per-element model of the scene | Why this matters

The seam, in one picture | Carrying identity on a grob | scene_model(): the per-element table | elements | panels | The meta key vocabulary | scene_svg(): the emitted attributes | Accessibility | Invariants the contract guarantees | For contributors

The 30-second version | Using README.Rmd and the vhsr knitr engine | Pipe chains type the way you wrote them | Where the GIF lives, and what to commit | File-size budget | Common gotchas | See also

The four levers | Side by side | Mechanical: defaults, no jitter, no paragraph beat | Jittered typing speed | Jittered + paragraph pause | A default kit | When the defaults are wrong | Reproducibility | See also

When to leave record_demo() behind | The primitives, R-flavoured | Set: terminal configuration | Type: simulated keystrokes | Keys | Sleep and Wait | Hide / Show | Source, Env, Screenshot | Gotchas vhsR works around for you | Running a hand-written tape | Version pinning | See also

Installation | S3 class wt_dt | Preprocessing | Classification | Summarizing and aggregating | Example code

Installation | S3 class wt_dt | Preprocessing | Classification | Summarizing and aggregating | Example code

What are signed networks? | Data structures for signed networks in signnet | Included datasets

Traditional Blockmodeling | Generalized Blockmodeling | References

Representing networks with ambivalent ties | Functions supporting ambivalent ties

Introduction | Running ChromaDB | Basic Usage | Connecting to ChromaDB | Managing Collections | Working with Documents | Updating and Deleting

Input | Calculating the orbit-aware quad census | Result

Theoretical Background | Indirect relations in the netrankr package

A primer on URLs | "WHATWG compliant" | Parsing urls | Public suffic extraction

Data | Most central family (Index approach) | Most central family (Dominance approach) | Centrality as explanatory variable (Index approach) | Centrality as explanatory variable (Dominance approach)

Authenticate | Instances | Get toots | Get accounts | Posting statuses | Pagination

Specifying parameters | Streaming and parsing

Obtain and use a token | Environment variable

Projections | References

Balancedness | References

Rank intervals

Runtimes exact probabilities | Approximating expected ranks | Approximating relative ranks | MCMC sampling of rankings | Runtimes of approximation | Session info

Theoretical Background | Neighborhood-inclusion in the netrankr Package | Centrality and Neighborhood-inclusion

Theoretical Background | Uniquely Ranked Graphs in the netrankr Package | Correlation and Threshold Graphs | Distances from a threshold graph

Theoretical Background | Exact Probabilities in the netrankr Package | Rank Probabilities | Relative Rank Probabilities

Theoretical Background | Positional Dominance in the netrankr Package

Theoretical Background | Building indices with the netrankr package

Centrality indices for signed networks | A note on eigenvector centrality | References