Skip to content

Latest commit

 

History

History
59 lines (44 loc) · 2.84 KB

NEWS.md

File metadata and controls

59 lines (44 loc) · 2.84 KB
Raw

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.