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