Mason_2024_G2: Group 2 from Mason et al. (2024)

In binaryRL: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks

Group 2 from Mason et al. (2024)

Description

This dataset originates from Experiment 2 of Mason et al. (2024), titled "Rare and extreme outcomes in risky choice" (\Sexpr[results=rd]{tools:::Rd_expr_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 or R_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)
  head(binaryRL::Mason_2024_G2)

binaryRL documentation built on Aug. 21, 2025, 6:01 p.m.