| castillo2024.rgmomentum.e1 {samplrData} | R Documentation |
Data from Experiment 1 in Castillo et al. (2024)
Description
Participants produced a random sequence of heights of either men or women in the United Kingdom. In one sequence, they sampled heights as distributed according to a uniform distribution (Uniform condition); in the other sequence, heights were distributed following their actual distribution (which is roughly Gaussian). These data are licensed under CC BY 4.0, reproduced from materials in OSF.
- id
participant id
- part_Gender
participant's gender (self-reported)
- part_Height
participant's own height (self-reported)
- part_Home
participant's home country (self-reported)
- RQ_Rep
percentage of correct responses in Randomness Questionnaire, for coin toss pairs where one sequence had too many repetitions
- RQ_Alt
percentage of correct responses in Randomness Questionnaire, for coin toss pairs where one sequence had too many alternations
- RQ_GFM
percentage of correct responses in Randomness Questionnaire, Gambling Fallacies Measure section
- minHeight
height participant reports to be the shortest adult in the UK (from target gender)
- maxHeight
height participant reports to be the tallest adult in the UK (from target gender)
- condition
whether the participant did the uniform condition first (UN) or not (NU)
- target_gender
gender they had to generate heights from, either male (M) or female (F)
- index
position of the item in the sequence, 0 indexed
- block
whether the item belongs to the first sequence the participant uttered (A) or the second (B)
- target_dist
whether the instructions asked for heights as distributed in the population (N) or uniformly distributed (U)
- label
what the participant uttered
- unit
height unit, either centimetres (cm) or feet and inches (f_in).
- value
value in cms of the height uttered.
- value_in_units
value of the height uttered depending on the value of
unit(either in inches or in centimetres). Used to calculate adjacencies, distances, etc.- starts
timestamp of when the utterance starts, in seconds.
- delays
temporal difference with the start of the previous item (i.e.
starts[index] - starts[index - 1])- R
whether the item is a repetition of the last
- A
whether the item is adjacent to the last (after removing repetitions)
- TP_full
whether the item is a turning point, considering all items (after removing repetitions)
- D
the Euclidean distance to the previous item (after removing repetitions)
- S
a measure of how likely the item is in a uniform or gaussian distribution (see text)
- expected_*
the expectation for measure
*derived from reshuffling the participant's sequence 10000 times
Usage
castillo2024.rgmomentum.e1
Format
An object of class data.frame with 5836 rows and 29 columns.
Source
References
Castillo L, León-Villagrá P, Chater N, Sanborn AN (2024). “Explaining the Flaws in Human Random Generation as Local Sampling with Momentum.” PLOS Computational Biology, 20(1), 1–24. doi:10.1371/journal.pcbi.1011739.