Changelog
Source:NEWS.md
accrualPlot 1.0.9
accrual_create_df: warning if by refers to a NULL object accrual_create_df: fix typo in documentation (last instead of first date) test-accrual_plots: named vector for target
accrualPlot 1.0.8
bug fix in gg_accrual_plot_predict if accrual_df contains only one site and no overall
accrualPlot 1.0.1
CRAN release: 2022-05-09
Fix par setting for accrual_plots Reinstate old par at the end of the vignette
accrualPlot 0.6.8
Update vignette Small changes in accrual_plot_predict (size of legend) and gg_accrual_plot_abs (name of x-axis title)
accrualPlot 0.6.6
gg_accrual_plot_abs: site as factor so that the legend is then the same order as the sites in the accrual_df_list
accrualPlot 0.6.2
accrual_table: remove options for start and end date accrual_table: include 0-entries in accrual_df for calculation of accrual time
accrualPlot 0.6.0
addition of names_overall attribute to accrual_df objects new accrual_list class for accrual_dfs with multiple sites new ggplot methods comparable to the base graphics capabilities new print methods for accrual_dfs and accrual_lists vignette updated to include above info (where appropriate)
accrualPlot 0.5.3
accrual_df class applied to all dataframes when by is used (allows methods to work on subelements of the list too, e.g. plot(list[[1]])) tests added for accrual_create_df, accrual_plot_cum
accrualPlot 0.5.0
modifications of accrual_plot_predict - no longer allows input of start and end date - no longer allows input of enrollment dates - center info is shown if accrual_df is a list - separate predictions are shown if accrual_df is a list and target is a vector of the same length accrual_create_df allows to add overall at top or bottom removal of overall option from accrual_plot_cum
accrualPlot 0.4.0
accrual_plot_abs produces stacked barplots if accrual_df is a list no longer allows additional input of start an end dates no longer produces several plots if accrual_df is a list
accrualPlot 0.3.3
removal of possibility to pass dates are strings >>>>>>> 0c51608820193f8d715acf93d90e88fd59caa751