Dataset requirements to make Kaplan-Meier plot with RcmdrPlugin.KMggplot2"

In RcmdrPlugin.KMggplot2: R Commander Plug-in for Data Visualization with 'ggplot2'

RcmdrPlugin.KMggplot2 depends survfit function of survival package. Dataset requirements are same as survfit function, which works with Surv objects.

Surv object

Surv objects are generated from Surv function. RcmdrPlugin.KMggplot2 calls as follows:

survfit(Surv(time = x, event = y, type = "right") ~ z + s + t, .df)

Arguments

• time
  • The follow up time variable.
• event
  • The status indicator variable, 0 = alive (censor), 1 = dead (event).
• type
  • Character string specifying the type of censoring. RcmdrPlugin.KMggplot2 can only handle "right" censoring.
• z, s, t
  • The stratum (z) and the facet (s, t) variables (factor variables).
• .df
  • A data frame for plotting.

RcmdrPlugin.KMggplot2 requires a data frame that at least includes time and event variables, and includes z, s, t if you needs

Data Example

data(dataKm, package = "RcmdrPlugin.KMggplot2")
exampleData <- dataKm[, c("time", "event", "trt", "sex", "marker")]
knitr::kable(head(exampleData, 10))

In this case:

• time: "time"
• event: "event" (0 = alive (censor), 1 = dead (event))
• z, s, or t: "trt", "sex", or "marker"

RcmdrPlugin.KMggplot2 documentation built on Sept. 17, 2019, 9:03 a.m.