Group 2 from Mason et al. (2024)
Mason_2024_G2.Rd
This dataset originates from Experiment 2 of Mason et al. (2024), titled "Rare and extreme outcomes in risky choice" (doi:10.3758/s13423-023-02415-x ). The raw data is publicly available on the Open Science Framework (OSF) at https://osf.io/hy3q4/. For the purposes of this package, we've performed basic cleaning and preprocessing of the original dataset.
Format
A data frame with 45000 rows and 11 columns:
- Subject
Subject ID, an integer (total of 143).
- Block
Block number, an integer (1 to 6).
- Trial
Trial number, an integer (1 to 60).
- L_choice
Left choice, a character indicating the option presented. The possible options are:
A: 100% gain 36.
B: 90% gain 40 and 10% gain 0.
C: 100% lose 36.
D: 90% lose 40 and 10% lose 0.
- R_choice
Right choice, a character indicating the option presented. The possible options are:
A: 100% gain 36.
B: 90% gain 40 and 10% gain 0.
C: 100% lose 36.
D: 90% lose 40 and 10% lose 0.
- L_reward
Reward associated with the left choice.
- R_reward
Reward associated with the right choice.
- Sub_Choose
The chosen option, either
L_choice
orR_choice
.- Frame
Type of frame, a character string (e.g., "Gain", "Loss", "Catch").
- NetWorth
The participant's net worth at the end of each trial.
- RT
The participant's reaction time (in milliseconds) for each trial.
Examples
# Load the Mason_2024_G2 dataset
data(binaryRL::Mason_2024_G2)
#> Warning: data set 'binaryRL::Mason_2024_G2' not found
head(binaryRL::Mason_2024_G2)
#> Subject Block Trial L_choice R_choice L_reward R_reward Sub_Choose Frame
#> 1 1 1 1 A B 36 40 B Gain
#> 2 1 1 2 A B 36 40 B Gain
#> 3 1 1 3 C D -36 -40 D Loss
#> 4 1 1 4 D C -40 -36 D Loss
#> 5 1 1 5 D C -40 -36 D Loss
#> 6 1 1 6 A B 36 40 A Gain
#> NetWorth RT
#> 1 40 6855
#> 2 80 7089
#> 3 40 5147
#> 4 0 1531
#> 5 -40 1859
#> 6 -4 1910