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binaryRL (version 0.8.9)

Mason_2024_Exp1: Experiment 1 from Mason et al. (2024)

Description

This dataset is from Experiment 1 of Mason et al. (2024). (Rare and extreme outcomes in risky choice). Data is publicly available on OSF: https://osf.io/hy3q4/. We performed basic cleaning to meet our package needs.

Arguments

Format

A data frame with 45000 rows and 11 columns:

Subject

Subject ID, an integer (16 to 144)

Block

Block number, an integer (1 to 6)

Trial

Trial number, an integer (1 to 60)

L_choice

Left choice, 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 = 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 or R_choice.

Frame

Type of frame, "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

Run this code
  # Load the Mason_2024_Exp1 dataset
  data(Mason_2024_Exp1)
  head(Mason_2024_Exp1)

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