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README.Rmd
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README.Rmd
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---
title: "The werewolf dataset"
output: github_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
[](http://choosealicense.com/)
[](http://www.repostatus.org/#active)
## Description of dataset creation
I needed a dataset with many interesting features, but mostly where I can
probabilistically assign people to three categories.
The people in this dataset can be divided into three categories.
They are either normal, werewolf, or wererabbit.
All 'normal' measures such as haircolor, BMI, eye color, etnicity, BFI values,
blood types, favorite food and allergies match the global values of the USA,
Age is a random birthday sample. The names come from the babynames package and
are selected from the years between 1960 and 1993.
So the general values will be equal to the US population. However I only
adjusted the hair and eye values for race, other things are not conditional.
## Alleged source of the sample
Sunnyville was an unfortunate and freak village. Something happened there. It might
have been the radioactive dump nearby, or the spiderfarm on the other side
of the village. Or perhaps the experiments 50 years ago had played the vital role.
No one knows what exactly happened, but something had changed the villagers.
They were normal on most days, but in the night you would better not be outside.
It is a wild place, howling in the night.
There were sightings of large dogs, wolves maybe. And ... rabbits, also very large
but mostly fluffy.
Anyway...
Other theories suggest that in an evolutionary race the existence
of werewolves should create a pressure and void that must be filled up to balance
nature. Thereby creating a healthy counterpart to wolves, namely rabbits.^[Though these people have no formal biology background and have often seen twilight movies.]
## The research
After a generous donation from the 'astrology-fund-for-research-that-is-really-good'
a team of scientists from the university of south-nordistan
decided to investigate the village and, since they are social
scientist, they decide to measure everything they can measure. It is the day and age of
'quite large'-data they say. The villagers are willing and in the next few weeks
they all patiently undergo the questions and measurements.
After 2 exciting weeks the scientist return home with their measurements
(minus one scientist who could no longer be found).
Unfortunately the funding was not enough to do all the analyses on the dataset.
Although very eager, the researchers were not very reproducible in their work.
We do not know much about the variables. Their publication was never accepted
and most of the research staff went to other jobs in industry. One undergraduate
student put the dataset online as an exercise to learn github. An exercise
he appantly abandoned, because he is no longer reachable.
### Outcomes
There is a prediction score for three outcomes werewolf, wererabit, normal
### Predictors
Many variables were recorded.
* dates: date of birth
* weekday: day of the week of the birth
* age: whole age at time of recording
* moonphase: moonphase at time of birth
* BMI: Body mass index
* sex: male or female
* favorite_food: one of 50
* allergies : food allergies
* etnicity: one of white, black or hispanic
* hair color
* eye color
Big five inventory subscales range 0-10
* BFI_O: openness to experience
* BFI_C: Conscienciousness
* BFI_E: Extraversion
* BFI_A: Agreeableness
* BFI_N: Neuroticism / stability
* scratch
* itch
* first name
* coin flip: a measure of luck.
* blood type
### Licence
This is a CC0 copyright dataset. In other words: you can do with it how you
please, but don't hold me responsible.
### Contact
Want to help or have questions?
Contact me directly, use an [issue](https://github.com/RMHogervorst/werewolf/issues), fork me or submit a pull request.