plnr

Overview

plnr is a powerful framework for planning and executing analyses in R. It’s designed for scenarios where you need to:

• Run the same function multiple times with different arguments
• Execute multiple different functions on the same datasets
• Create systematic analyses across multiple strata or variables

Key Features

• Efficient Data Management: Load data once and reuse across multiple analyses
• Structured Analysis Planning: Organize analyses into clear, maintainable plans
• Flexible Execution: Support for both single-function and multi-function analysis plans
• Built-in Debugging: Convenient tools for development and testing
• Parallel Processing: Optional parallel execution of analyses
• Hash-based Caching: Track data changes and optimize execution

Common Use Cases

• Applying the same analysis across multiple strata (e.g., locations, age groups)
• Running statistical methods on multiple variables (e.g., exposures, outcomes)
• Generating multiple tables or graphs for reports
• Creating systematic surveillance analyses

Installation from CRAN

install.packages("plnr")

Getting Started

1. Read the introduction vignette
2. Check out the adding analyses guide
3. Run help(package="plnr") for detailed function documentation

Quick Example

library(plnr)
library(ggplot2)
library(data.table)

# Create a new plan
p <- Plan$new()

# Add data
p$add_data(
  name = "deaths",
  direct = data.table(deaths=1:4, year=2001:2004)
)

# Add analyses for different years
p$add_argset(name = "fig_1_2002", year_max = 2002)
p$add_argset(name = "fig_1_2003", year_max = 2003)

# Define analysis function
fn_fig_1 <- function(data, argset) {
  plot_data <- data$deaths[year <= argset$year_max]
  ggplot(plot_data, aes(x=year, y=deaths)) +
    geom_line() +
    geom_point(size=3) +
    labs(title = glue::glue("Deaths from 2001 until {argset$year_max}"))
}

# Apply function to all argsets
p$apply_action_fn_to_all_argsets(fn_name = "fn_fig_1")

# Run analyses
p$run_one("fig_1_2002")

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This package is licensed under the MIT License - see the LICENSE file for details.