vcd: Visualization Techniques and Datasets for Categorical Data

The vcd package provides visualization techniques, datasets, and inference procedures aimed at categorical data analysis. It is a software package for the R programming language, originally inspired by the book 'Visualizing Categorical Data' by Michael Friendly. The package now serves as the main support package for the book 'Discrete Data Analysis with R' by Michael Friendly and David Meyer, published in 2015.

Use Cases

• Visualizing categorical variable relationships based on the package's specialized graphical methods.
• Applying summary and inference procedures for discrete data analysis as described in the supporting books.
• Creating highly extensible grid graphics for categorical data exploration.

Strengths

• Provides specialized methods for a specific data type (categorical data).
• Is the main support package for a published academic book ('Discrete Data Analysis with R').
• Emphasizes highly extensible grid graphics for customization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

David Meyer

Collection Method

Software package and associated datasets for R.

Time Range

Associated with a book published in 2015.

Freshness

Last updated date is unknown.

Geography

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