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suddengains 0.4.4

• add function plot_sg_intervals() to visualise session to session intervals that are analysed for sudden gains
• minor changes to integrate updates in tibble package

suddengains 0.4.3

• Suppress message about vector length from extract_values() in the functions create_bysg() and create_byperson()
• Update ggplot2 functions with “deprecated” warning message
• Add clearer detailed output message in check_interval() function

suddengains 0.4.2

• Add option to specify the critical value for criterion three using the argument sg_crit3_critical_value
• Add option to extract values from multiple measures by specifting a list in the extract_var_list of the function extract_values()
• Internal changes to plot_sg() function to work properly with shiny
• Make output from describe_sg() function clearer
• Create shiny app illustrating main functions of this version, available at https://milanwiedemann.shinyapps.io/shinygains/
• Correct typos
• Add funders to documentation

suddengains 0.4.0

• Fix error in formula used to define a cutoff value for the first sudden gains criteria based on the Reliable Change Index (RCI; Jacobson & Truax, 1991) in the function define_crit1_cutoff()
• Add formulas used to calculate standard error of measurement, standard error of difference, and relaible change value to help file of define_crit1_cutoff()
• Simplify define_crit1_cutoff() function arguments
• Add links to functions of other R packages to help files
• Add links to functions of suddengains package to help files
• Add option to not adjust critical value in third sudden gains criterion

suddengains 0.3.1

• Make compaible with tidyr v1.0.0
• Fix error in extract_values() function

suddengains 0.3.0

• Add function check_interval() to check if a given interval is a sudden gain/loss

suddengains 0.2.1

• Fix error message when loading SPSS datasets with the R package foreign
• Calculate critical values from the student t distribution for third criterion using base::qt()
• Add functionality to change significance level (alpha) for computing two-tailed critical value based on the student t distribution using the argument sg_crit3_alpha

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

suddengains 0.1.0

First CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.