VennDataset-class: VennDataset: in-memory representation of a Venn-diagram input

In vennDiagramLab: Headless Venn Diagram Analysis and Rendering

VennDataset: in-memory representation of a Venn-diagram input

Description

Returned by the 'load_*()' family and consumed by [analyze()]. Holds the deduplicated set members, first-seen item ordering for byte-equivalent TSV output, and source metadata (path, format, optional hypergeometric universe size).

Slots

set_names

Ordered character vector of set identifiers (length 2-9).

items

Named list ('names(items) == set_names') of character vectors, each containing the deduplicated members of the corresponding set.

item_order

First-seen insertion order of all items across all sets, matching JS Set/Map semantics. Used by TSV writers (Phase 2) for byte-equivalent output to the web tool.

universe_size

Hypergeometric universe N (population size) from the source file, when known. Binary CSV/TSV loaders set this to the row count (matching the web tool's 'csv.rows.length'); other formats leave it 'NULL', signaling "compute as length(item_order)" downstream.

source_path

Original file path if loaded from disk; 'NULL' for in-memory datasets.

format

Source format: one of '"csv"', '"tsv"', '"gmt"', '"gmx"'.

vennDiagramLab documentation built on May 19, 2026, 1:07 a.m.