The boilerplate package offers a lightweight and flexible toolkit for managing, accessing, and compiling reports and from templates (boilerplates). Simple and intutive command line interfaces allows users to efficiently store, retrieve, and update their content. Outputed markdown text can be dropped directly into markdown documents, such as quarto documents.

Installation

You can install the development version of boilerplate from GitHub with:

# Install the devtools package if you don't have it already
install.packages("devtools")

# Install boilerplate from GitHub
devtools::install_github("go-bayes/boilerplate")

Example

This is a basic example that shows you how to connect to the boilerplate database and create the necessary tables:

library(boilerplate)
library(here)

# set path to data folder
measures_path <-  here::here("boilerplate", 'data')

# open gui to enter and save measures data
boilerplate_manage_measures(measures_path = measures_path)

# create measures report (assuming measures data saved as 'measures_data.rds')
measure_data <- readRDS(here::here(measures_path, "measure_data.rds"))

# baseline variables
baseline_vars <- c("age", "male_binary", "parent_binary")

# exposure variable (intervention)
exposure_var <- "political_conservative"

# outcomes, perhaps defined by domains
outcomes_health <- c("smoker_binary", "hlth_bmi", "log_hours_exercise")
outcomes_psychological <- c("hlth_fatigue", "kessler_latent_anxiety")
outcomes_social <- c("belong", "neighbourhood_community")

# variable definitions: option 1
outcome_vars <- c(outcomes_health, outcomes_psychological, outcomes_social)

# variable definitions: option 2 using `boilerplate_report_variables`
all_outcomes <- list(
  health = outcomes_health,
  psychological = outcomes_psychological,
  social = outcomes_social
)

# view
appendix_text_version_1 <- boilerplate::boilerplate_report_measures(
  baseline_vars = baseline_vars,
  exposure_var = exposure_var,
  outcome_vars = outcome_vars,
  measure_data = measure_data
)

# view
cat(appendix_text_version_1)


# another option
appendix_text_version_2 <- boilerplate::boilerplate_report_variables(
  exposure_var = exposure_var,
  outcome_vars = all_outcomes,
  appendices_measures = "Appendix C",
  measure_data = measure_data
)
cat(appendix_text_version_2)

Code

Go to: https://github.com/go-bayes/boilerplate

DOI