We have created a repository with the bare bones of an initial data extraction and analysis.

You might consider forking this repository as a starting place for exploring the potential of ccdata.

The readme file summarises the contents.

A simple starting point for a new project.

Directory structure

-|
 |-config       * configuration files
 |-data         * working data
 |-data-raw     * raw data (should not be modified by code)
 |-outputs      * outputs (e.g. tables, figures, documents)
 |-src          * code

For the example code to work off the shelf, you will need to place an .RData file containing data as a ccRecord class object named ccd into the data-raw directory. In our example, the file is named anon_ccd_k_5.RData.

Files for a minimal working example

-|
 |-config       
    |- data_fields.yaml     * field configuration
 |-data         
 |-data-raw     
    |- anon_ccd_k_5.RData   * contains `ccd` object
 |-outputs      
 |-src          
    |- raw2working.R        * clean and validate `ccRecord` object
    |- derive.R             * derive secondary variables
    |- working_inspect.R    * simple inspection of data

There are two branches in this repository.

The master branch contains a very minimal working example with just a handful of fields from the raw data. The try-sofa branch pulls in some extra fields and then derives the SOFA score.