Package: gmoTree 1.1.0

Patricia F. Zauchner

gmoTree: Get and Modify 'oTree' Data

Manage data from 'oTree' experiments. Import 'oTree' data and clean them by using functions to deal with messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. You can also check your experimental data before running the experiment. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.

Authors:Patricia F. Zauchner [aut, trl, cre, cph]

gmoTree_1.1.0.tar.gz
gmoTree_1.1.0.zip(r-4.5)gmoTree_1.1.0.zip(r-4.4)gmoTree_1.0.1.zip(r-4.3)
gmoTree_1.1.0.tgz(r-4.4-any)gmoTree_1.0.1.tgz(r-4.3-any)
gmoTree_1.1.0.tar.gz(r-4.5-noble)gmoTree_1.1.0.tar.gz(r-4.4-noble)
gmoTree_1.1.0.tgz(r-4.4-emscripten)gmoTree_1.0.1.tgz(r-4.3-emscripten)
gmoTree.pdf |gmoTree.html
gmoTree/json (API)
NEWS

# Install 'gmoTree' in R:
install.packages('gmoTree', repos = c('https://zauchnerp.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/zauchnerp/gmotree/issues

Datasets:
  • oTree - Sample experiment data

On CRAN:

otree

16 exports 4 stars 1.46 score 27 dependencies 3 scripts 147 downloads

Last updated 3 months agofrom:13392cbe0b. Checks:OK: 1 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winNOTESep 03 2024
R-4.5-linuxNOTESep 03 2024
R-4.4-winNOTESep 03 2024
R-4.4-macNOTESep 03 2024

Exports:apptimeassignvassignv_to_aawdelete_casesdelete_dropoutsdelete_duplicatedelete_plabelsdelete_sessionsextimeimport_otreemake_idsmessy_chatmessy_timepagesecshow_constantshow_dropouts

Dependencies:clidata.tabledplyrfansigenericsgluejsonlitelifecyclemagrittropenxlsxpillarpkgconfigplyrR6Rcpprlangrliststringistringrtibbletidyselectutf8vctrswithrXMLyamlzip

Introduction to gmoTree

Rendered fromintro_to_gmoTree.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2024-07-05
Started: 2023-08-24