Prepare a data frame containing discounting for use on the other functions in this package.

This includes: Reducing the data frame to only contain the expected variables. Sorting the observations into an expected order. Transforming delay and indifference for the linearized model. Estimating ln(k) for each subject. Calculating residuals from observed values vs predictions by estimated ln(k).

Usage

prepare_data_frame(dd_data)

Arguments

dd_data

A data frame containing discounting data in long format. The data should be in long format, with columns identifying the subject, group and time point for each observation, and the indifference point. The variables should be named subj, group, delay, and indiff, respectively. Values for indifference points should be between 0 and 1, exclusive. All delays should be positive. All subjects should have observations for the exact same set of delays.

Value

A data frame compatible with the other functions in this package.

Examples

prep_remedi <- prepare_data_frame(remedi)