gmoTree – Get and Modify oTree Data

gmoTree is an R package developed for importing, merging, and
efficiently managing data obtained from running
oTree (Chen et al., 2016) 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.¹

Installation

To install the CRAN version of this package, use the following command:

install.packages("gmoTree")

To install the development version:

devtools::install_github("ZauchnerP/gmoTree")

List of all functions

See the page
Introduction
to gmoTree for a more detailed overview of most of the functions.
For further details on the package as a whole, visit the

gmoTree website.

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 list of data frames.

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 list of data frames. 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 list of data frames. 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.

Measuring 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 variables with no variation.

• codebook(): Creates a codebook based on the oTree code. See also the vignette gmoTree Codebooks.

References

Chen, D. L., Schonger, M., & Wickens, C. (2016). oTree—An open-source platform for laboratory, online, and field experiments. Journal of Behavioral and Experimental Finance, 9, 88–97. https://doi.org/10.1016/j.jbef.2015.12.001

Footnotes

1. gmoTree is not an official package of the oTree team but is built to complement the oTree open-source platform. ↩