Identify Sudden Gains in Longitudinal Data

Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) to a selection of repeated measures. Sudden losses, defined as the opposite of sudden gains can also be identified. Two different datasets can be created, one including all sudden gains/losses and one including one selected sudden gain/loss for each case. It can extract scores around sudden gains/losses. It can plot the average change around sudden gains/losses and trajectories of individual cases.

News

suddengains 0.2.0

Add new plot function plot_sg_trajectories() to plot trajectories of individual cases
Add more specific warning and error messages:
- Message notification if no gains/losses are identified using: identify_sg() or identify_sl()
- Error if no gains/losses are identified using: create_bysg(), create_byperson()
Add colour option to plot_sg() function for different groups
Fix calculation of start and end values in plot_sg() function for bysg data sets
Update help files
- Fix spelling mistakes
- Clarify some arguments
- Add table explaining "pattern" method to select_cases() function