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