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survminer 0.2.3
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@kassambara kassambara released this 07 Dec 07:55
· 715 commits to master since this release
v0.2.3
35f8671

New features

  • New function surv_summary() for creating data frame containing a nice summary of a survival curve (#64).
  • It's possible now to facet the output of ggsurvplot() by one or more factors (#64):
# Fit complexe survival curves
require("survival")
fit3 <- survfit( Surv(time, status) ~ sex + rx + adhere,
                data = colon )

# Visualize by faceting
# Plots are survival curves by sex faceted by rx and adhere factors.
require("survminer")  
ggsurv$plot +theme_bw() + facet_grid(rx ~ adhere)
  • Now, ggsurvplot() can be used to plot cox model (#67).
  • New 'myeloma' data sets added.
  • New functions added for determining and visualizing the optimal cutpoint of continuous variables for survival analyses:
    • surv_cutpoint(): Determine the optimal cutpoint for each variable using 'maxstat'. Methods defined for surv_cutpoint object are summary(), print() and plot().
    • surv_categorize(): Divide each variable values based on the cutpoint returned by surv_cutpoint() (#41).
  • New argument 'ncensor.plot' added to ggsurvplot(). A logical value. If TRUE, the number of censored subjects at time t is plotted. Default is FALSE (#18).

Minor changes

  • New argument 'conf.int.style' added in ggsurvplot() for changing the style of confidence interval bands.
  • Now, ggsurvplot() plots a stepped confidence interval when conf.int = TRUE (#65).
  • ggsurvplot() updated for compatibility with the future version of ggplot2 (v2.2.0) (#68)
  • ylab is now automatically adapted according to the value of the argument fun. For example, if fun = "event", then ylab will be "Cumulative event".
  • In ggsurvplot(), linetypes can now be adjusted by variables used to fit survival curves (#46)
  • In ggsurvplot(), the argument risk.table can be either a logical value (TRUE|FALSE) or a string ("absolute", "percentage"). If risk.table = "absolute", ggsurvplot() displays the absolute number of subjects at risk. If risk.table = "percentage", the percentage at risk is displayed. Use "abs_pct" to show both the absolute number and the percentage of subjects at risk. (#70).
  • New argument surv.median.line in ggsurvplot(): character vector for drawing a horizontal/vertical line at median (50%) survival. Allowed values include one of c("none", "hv", "h", "v"). v: vertical, h:horizontal (#61).
  • Now, default theme of ggcoxdiagnostics() is ggplot2::theme_bw().

Bug fixes

  • ggcoxdiagnostics() can now handle a multivariate Cox model (#62)
  • ggcoxfunctional() now displays graphs of continuous variable against martingale residuals of null cox proportional hazards model (#63).
  • When subset is specified in the survfit() model, it's now considered in ggsurvplot() to report the right p-value on the subset of the data and not on the whole data sets (@jseoane, #71).
  • ggcoxzph() can now produce plots only for specified subset of varibles (@MarcinKosinski, #75)
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