Changelog
Source:NEWS.md
suddengains 0.4.4
CRAN release: 2020-05-22
- 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
CRAN release: 2020-03-15
- Suppress message about vector length from
extract_values()
in the functionscreate_bysg()
andcreate_byperson()
- Update ggplot2 functions with “deprecated” warning message
- Add clearer detailed output message in
check_interval()
function
suddengains 0.4.2
CRAN release: 2020-03-10
- 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 functionextract_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
CRAN release: 2019-10-27
- 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
CRAN release: 2019-09-24
- Make compaible with tidyr v1.0.0
- Fix error in
extract_values()
function
suddengains 0.3.0
CRAN release: 2019-08-20
- Add function
check_interval()
to check if a given interval is a sudden gain/loss
suddengains 0.2.1
CRAN release: 2019-05-21
- 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
CRAN release: 2019-05-11
- 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