An R package to aid in the workflow of getting a research project setup and convenient functions for preliminary data processing steps.
devtools::install_github("dr-JT/psyworkflow")Most of the functions are designed to easily and quickly get you through some preliminary data processing steps so you can get to work on processing and analyzing your data.
R project template
Create a research project directory with folders and R script templates:
File -> New Project -> New Directory -> then choose the ‘Research Study’ template
Download R script templates
R script templates can be downloaded with
get_template()
Organize files from different computers
I often collect data on multiple computers on a battery of cognitive
tasks. The copy_raw() function helps to get all the files
for each task, organized on multiple computers, into one location
(usually a network drive or shared folder on a cloud storage
system).
Bind multiple data files together
Typically, you start out with individual data files for each subject.
The first step, then, is to bind those individual data files into one
large data file that contains the data for all subjects for a single
task. The files_bind() function will bind (stack) the rows
for multiple data files with the same column names.
Check for duplicate subject ID’s in your data files
In large data collection efforts it is not uncommon that subject ID’s
will occasionally get entered incorrectly when adminstering a task. The
duplicates_check() function will check for duplicate
subject ID’s, remove them, and save them to a file so you can sort them
out later.
Join multiple data files together
You start out with seperate data files for each task but at some
point you will likely want to join (merge) the data files from multiple
tasks into one data file that is ready for statistical analysis. The
files_join() function will join (merge) multiple data files
that have a common id column (e.g., Subject).