Arsenal: An R Package for Large-Scale Statistical Summary Tables

An R package by Ethan Heinzen providing functions for generating large-scale statistical summaries. The toolkit includes functions for creating Table-1-like summaries, frequency tables, model summaries, and data frame comparisons, designed to integrate with R and RStudio reporting tools. Its primary functions are tableby(), paired(), modelsum(), freqlist(), comparedf(), and write2().

Use Cases

• Generate baseline characteristic tables (Table 1) for clinical or observational studies based on the tableby() function.
• Create summary statistics for paired longitudinal data based on the paired() function.
• Perform univariate or covariate-adjusted model fitting across many variables based on the modelsum() function.
• Produce frequency distributions across multiple categorical variables based on the freqlist() function.
• Compare the structure and content of two data frames for data validation based on the comparedf() function.

Strengths

• Functions are streamlined to work within the latest R and RStudio reporting tools.
• Supports versatile summary statistics and formula interfaces for flexible table creation.
• Includes specific functions for common analytical tasks like Table-1 summaries and model fitting.

Limitations

• Dataset size, row count, and specific column structures are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• License and last update date are unknown.

Provenance

Source

Ethan Heinzen

Collection Method

Software package development for statistical computing.