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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.