A data science project built with quarto and targets.
- Create an R script called
_targets_config.R
in the project root directory with the following objects and populate:
# Config file for targets pipeline. Defines global
# objects that may differ between local instances of a project.
# File paths ---------------------------------------------------------------
# input files - the suffix '_IN_PATH' indicates that ourproj should
# automatically create a target for this file/directory with `format = "file"`
## Primary Care Domain Reference Set Portal - download from
## https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-collections/quality-and-outcomes-framework-qof/quality-and-outcome-framework-qof-business-rules/primary-care-domain-reference-set-portal
PCD_REFSET_CONTENT_IN_PATH <-
PCD_REFSET_CONTENT_BY_OUTPUT_IN_PATH <-
PCD_RULSET_FULL_NAME_MAPPINGS_IN_PATH <-
PCD_SERVICE_FULL_NAME_MAPPINGS_IN_PATH <-
PCD_SERVICE_OUTPUT_DESCRIPTIONS_IN_PATH <-
- Install required R packages, ideally using
renv with
renv::init()
, orrenv::restore()
if arenv.lock
file is already present. - Run targets pipeline with
tar_make()
in the R console.