zombie_growth: Zombie growth model

In profandyfield/discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

Zombie growth model

Description

A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.

Usage

zombie_growth

Format

A tibble with 564 rows and 5 variables.

Details

In the story within Field (2016) a lot of people get turned into zombies. At the end of the book it is revealed that one of the central characters, Alice, uses a gene therapy that she invented to restore the zombies back to a human state. This dataset relates to her second study in which she tracked efficacy over 12 months after the treatment. The contains measures from 141 zombies measured at four timepoints (baseline and 1, 6, and 12 month follow-up). Zombies were randomly assigned to two arms of the trial (wait list vs. gene therapy) and the outcome was how much they resembled their pre-zombie state (as a percentage).

• id: The zombie's id

• intervention: a factor that codes which arm of the trial the participant was randomized to (wait list or gene therapy).

• time: categorical variable indicating at which phase of the trial resemblance was measured (Baseline, 1 month, 6 months or 12 months).

• resemblance: How closely their face resembled their pre-zombified state (100\

• time_num: numerical variable indicating how many months since the intervention resemblance was measured.

Source

www.discovr.rocks/csv/zombie_growth.csv

References

• Field, A. P. (2016). An adventure in statistics: the reality enigma. London: Sage. https://www.statisticsadventure.com

profandyfield/discovr documentation built on May 4, 2024, 4:32 p.m.