Interactive Shiny Application for Quallmer Validation

quallmer.app provides an interactive Shiny application for working with qualitative data coded using the quallmer package. The app supports:

• Manual coding: Code qualitative data directly in an intuitive interface
• Review LLM-generated coding: Examine and validate AI-produced annotations
• Compute agreement metrics: Calculate inter-rater reliability and validate against gold standards

# Install from GitHub
# install.packages("pak")
pak::pak("quallmer/quallmer.app")

library(quallmer.app)

# Launch the quallmer app
qlm_app()

The package includes sample movie review data to help you learn the app:

# Get the path to the sample data file
sample_file <- system.file("extdata", "sample_data.rds", package = "quallmer.app")

# Launch the app
qlm_app()

# In the app, upload the file at the path shown by:
print(sample_file)

The sample dataset contains 20 movie reviews coded by three coders with a gold standard, perfect for testing inter-rater reliability and gold-standard validation features.

This package requires the quallmer package to be installed.

For more information about the quallmer ecosystem, see the main quallmer package documentation.

Development of this package was assisted by Claude Code, an AI coding assistant by Anthropic, for code refactoring, documentation updates, and package restructuring.