| rehab_growth_dat {adventr} | R Documentation |
Zombie rehabilitation longitudinal data
Description
A dataset not from Field, A. P. (2016). An adventure in statistics: the reality enigma. London: Sage, but continuing the theme of the story. At the end of the book it is revealed that Alice used her C-gene therapy to restore the code 1318 workers to a human state. This dataset relates to her second attempt. It contains data from 141 code 1318 workers measured at four timepoints (baseline and 1, 6, and 12 month follow-up). Workers were randomly assigned to two arms of the trial (wait list vs. C-gene therapy) and the outcome was how much they resembled their pre-zombie state (as a percentage).
Usage
rehab_growth_dat
Format
A tibble with 564 rows and 5 variables:
- id
Participant ID
- intervention
character vector that codes which arm of the trial the participant was randomized to (wait list or gene therapy)
- resemblance
How closely their face resembled their pre-zombified state (100% = the participants face is exactly like their original face, 0% the person bears no resemblance to their pre-zombified face)
- time
Character vector that expresses when resemblance was measured as "t0" (baseline), "t1" (1 month follow-up), "t6" (6-month follow up) and "t12" (12-month follow-up)
- time_num
integer vector exptressing time in months from baseline (0, 1, 6, 12) as a number
Source
https://www.discoveringstatistics.com/books/an-adventure-in-statistics/