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.