gmoTree – Get and Modify oTree Data

gmoTree is an R package developed for importing, merging, and efficiently managing data obtained from running oTree experiments. It’s particularly valuable when dealing with complex experimental designs that span multiple sessions and generate a large number of files that need to be integrated.

gmoTree is not an official package of the oTree team, but it was created to complement the open-source platform.

About this version

This is the beta version of the gmoTree package!

This package has been thoroughly tested, but since it is still in beta, it’s recommended to double-check the results when importing data. For example: Verify if the number of cases matches the numbers reported by the lab and ensure that the time results are reasonable. Please let me know if you encounter any errors or have suggestions for improvement.

The final package might differ from this package, so please keep track of the changes.

Installation

To install this package, use the following command:

devtools::install_github("ZauchnerP/gmoTree")

List of all functions

See the page Introduction to gmoTree for a more detailed overview of the functions. Or see the website of gmoTree for more information on the package in general.

Importing data

import_otree()

Imports your oTree data and combines them in a list of data frames.

Cleaning up data

messy_chat()

Checks for a messy Chats data frame and combines variables that refer to the same concept.

messy_chat()

Checks for a messy Time data frame and combines variables that refer to the same concept.

delete_duplicate()

Deletes duplicate rows from all data frames in the oTree list.

Dealing with dropouts and deleting cases

show_dropouts()

Shows participant codes of people who did not finish at (a) certain app(s) or page(s).

delete_dropouts()

Deletes the data of participants who did not finish at (a) certain app(s) or page(s). This function deletes the participants’ data from all data frames in the oTree list. Caution: It does not delete the cases from the original CSV and Excel files!

delete_cases()

Deletes the data of specified participants from all data frames in the oTree list. Caution: This function does not delete the data from the original CSV and Excel files!

delete_sessions()

Deletes the data of specified sessions from all data frames in the oTree list. Caution: This function does not delete the data from the original CSV and Excel files!

Deleting sensitive information

delete_plabels()

Deletes the variable participant.label from every app because it might contain identifiable information on the participants, such as their MTurk ID. Caution: This function does not delete the variable from the original CSV and Excel files!

Making IDs

make_ids()

Makes participant, group, and session IDs that are the same across all apps.

Calculating the time

apptime()

Calculates the time spent on a specific app.

extime()

Calculates the time spent on the experiment.

pagesec()

Calculates the time spent on each page.

Transferring variables between the apps

assignv()

Copies a variable from the all_apps_wide data frame to the data frames of all other apps.

assignv_to_aaw()

Copies a variable from one of your data frames to the all_apps_wide data frame.

Before running the experiment

show_constant()

Shows constant variables.