add comments to file

source/targets/data_preparation/_targets.R

@@ -1,9 +1,9 @@
-# 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
+################################################################################
+# targets pipeline for reading, cleaning and preparation of the MBAG MAS data  #
+# see https://books.ropensci.org/targets/                                      #
+################################################################################
 
-# Load packages required to define the pipeline:
+# Load packages required to define the pipeline
 library(targets)
 library(tarchetypes)
 
@@ -17,16 +17,21 @@ tar_option_set(
   workspace_on_error = TRUE
 )
 
-# Run the R scripts in the R/ folder with your custom functions:
-tar_source()
-# tar_source("other_functions.R") # Source other scripts as needed.
+# Set directory locations
+target_dir <- rprojroot::find_root_file(
+  "source", "targets", "data_preparations",
+  criterion = rprojroot::is_git_root)
+mbag_dir <- rprojroot::find_root_file(
+  criterion = rprojroot::is_git_root)
 
-# Replace the target list below with your own:
+# Source custom functions
+# source(file.path(mbag_dir, "source", "R", ".R"))
+
+# Target list
 list(
   tar_target(
     name = data,
     command = tibble(x = rnorm(100), y = rnorm(100))
-    # format = "qs" # Efficient storage for general data objects.
   ),
   tar_target(
     name = model,