Identify Sudden Gains in Longitudinal Data

Documentation for package ‘suddengains’ version 0.7.2

check_interval	Check if a given interval is a sudden gain/loss
count_intervals	Count number of between-session intervals available to identify sudden gains
create_byperson	Create a data set with one gain per person
create_bysg	Create a data set with one row for each sudden gain/loss
define_crit1_cutoff	Define cut-off value for first SG criterion
describe_sg	Show descriptives for the sudden gains datasets
extract_values	Extract values around the sudden gain
identify_sg	Identify sudden gains.
identify_sl	Identify sudden losses.
plot_sg	Plot average change in variables around the sudden gain
plot_sg_intervals	Plot summary of available data per time point and analysed session to session intervals
plot_sg_trajectories	Plot individual trajectories
rename_sg_vars	Rename variable names to a generic and consistent format
select_cases	Select sample providing enough data to identify sudden gains
sgdata	Example dataset dataset with repeated measures of depression and rumination
sgdata_bad	Example dataset dataset with repeated measures of depression and rumination (bad variable names)
write_byperson	Write a sudden gains data frame (byperson) to CSV, SPSS, STATA or Excel files
write_bysg	Write a sudden gains data frame (bysg) to CSV, SPSS, STATA or Excel files