| examp_DD {discAUC} | R Documentation |
Delay discounting data
Description
Delay discounting data with repeated measures for subjects across delayed outcomes. Data were obtained from a subset of data from DeHart et al. (2020).
Usage
examp_DD
Format
A data frame with 360 rows and 4 variables:
- subject
Subject ID. Positive values are experimentally obtained. -987.987 are median indifference points. -1 and -2 values have indifference points of all 0 and all 1, respectively. These extra data were added for testing and debugging to ensure that AUC calculations will result in 0 when all indifference points are zero and 1 when all indifference points are 1.
- delay_months
Delay to receiving the outcome, in months
- outcome
Delayed outcome type (all were scaled to $100)
- prop_indiff
Indifference point scaled to the maximum amount of each outcome. The maximum amount was the number of servings of each outcome worth $100.
Details
Note: The DD data shares the same indifference points used in the PD data. The PD data were created by using the DD data and using probabilities instead of delays. The PD was created to demonstrate features of the discAUC package and does not represent real data.