Experiment 1 from Mason et al. (2024)
Mason_2024_Exp1.Rd
This dataset originates from Experiment 1 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 4.
B: 90% gain 0 and 10% gain 40.
C: 100% lose 4.
D: 90% lose 0 and 10% lose 40.
- R_choice
Right choice, a character indicating the option presented. The possible options are:
A: 100% gain 4.
B: 90% gain 0 and 10% gain 40.
C: 100% lose 4.
D: 90% lose 0 and 10% lose 40.
- 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_Exp1 dataset
data(binaryRL::Mason_2024_Exp1)
#> Warning: data set 'binaryRL::Mason_2024_Exp1' not found
head(binaryRL::Mason_2024_Exp1)
#> Subject Block Trial L_choice R_choice L_reward R_reward Sub_Choose Frame
#> 1 16 1 1 C D -4 0 C Loss
#> 2 16 1 2 D C 0 -4 D Loss
#> 3 16 1 3 C D -4 -40 C Loss
#> 4 16 1 4 C D -4 0 D Loss
#> 5 16 1 5 B A 0 4 B Gain
#> 6 16 1 6 C B -4 0 C Catch
#> NetWorth RT
#> 1 -4 2318
#> 2 -4 3029
#> 3 -8 1897
#> 4 -8 1067
#> 5 -8 1814
#> 6 -12 1362