Table 1.
Data patterns required to identify sudden gains.
Table 2.
Main functions of the suddengains R package.
Table 3.
A sample of the output data frame created by the identify_sg() function.
Table 4.
Description of variables created by the create_bysg() and create_byperson() functions.
Fig 1.
Plots of average changes around sudden gains.
(A) Average gain magnitude on the BDI across all sudden gains (B) Average changes in rumination (RQ) around sudden gains on the BDI. (C) Average gain magnitude on the BDI for two different treatments.
Fig 2.
Plots of trajectories for selected cases.
(A) Trajectories for a selection of individual cases. (B) Trajectories of BDI scores for all participants with a sudden gain between sessions 3 and 4.