_targets.R

# Created by use_targets().
# Follow the comments below to fill in this target script.
# Then follow the manual to check and run the pipeline:
#   https://books.ropensci.org/targets/walkthrough.html#inspect-the-pipeline # nolint

# Load packages required to define the pipeline:
library(targets)
# library(tarchetypes) # Load other packages as needed. # nolint

# Set target options:
tar_option_set(
  packages = c("tidyverse", "mlogit", "modelsummary", 
               "lubridate"), # packages that your targets need to run
  format = "rds" # default storage format
  # Set other options as needed.
)

# tar_make_clustermq() configuration (okay to leave alone):
# options(clustermq.scheduler = "multicore")

# tar_make_future() configuration (okay to leave alone):
# Install packages {{future}}, {{future.callr}}, and {{future.batchtools}} to allow use_targets() to configure tar_make_future() options.

# Load the R scripts stored in R/ with your custom functions:
for (file in list.files("R", full.names = TRUE)){
  if (file != "R/chapter_start.R")  source(file)
} 
# source("other_functions.R") # Source other scripts as needed. # nolint

# Replace the target list below with your own:
list(
  tar_target(ETTDataFile, "data/TIM Phase III Data for ETT analysis_T7T5.csv",
             format = "file"),
  tar_target(LnETTVariables, get_data(ETTDataFile))
)