ggkm: Generate Kaplan-Meier plot using ggplot2 and gridExtra
In rpkyle/epimisc: Miscellaneous R functions for basic epidemiologic analysis.

Description Usage Arguments Value Author(s) Source Examples

Given a survfit object produced by the survfit function, ggkm will produce an attractive Kaplan-Meier plot, with an optional table summarizing the number of individuals at risk along the footer of the plot.

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ggkm(sfit, table = FALSE, xlabs = "Time", ylabs = "survival probability", 
ystratalabs = NULL, ystrataname = NULL, timeby = NULL, main = "Kaplan-Meier Plot", 
pval = TRUE)

`sfit`	An object produced by the `survfit` function.
`table`	Boolean value; if true, a table with number at risk is appended to the bottom of the plot. Default is `FALSE`.
`xlabs`	Character string used to label x-axis.
`ylabs`	Character string used to label y-axis.
`ystrataname`	Character string used to name strata legend; if not supplied, "Strata" is used instead.
`timeby`	Specifies interval used to define breakpoints for at-risk table.
`main`	Character string used to title finished plot; if not specified, default is "Kaplan-Meier Plot".
`pval`	Boolean value; if true, the P-value for the chi-square (log-rank) test of equality performed by `survdiff` is printed on the finished plot. Default is `TRUE`.

Produces a plot created with ggplot2.

Abhijit Dasgupta, Gary Collins, Gil Tomas, Mark Cowley, Dieter Menne

https://statbandit.wordpress.com/2011/03/08/an-enhanced-kaplan-meier-plot/

https://statbandit.wordpress.com/2014/04/01/kaplan-meier-plots-using-ggplots2-updated/

https://github.com/dmenne/dmisc2/tree/master

1 2 3 4 5 6 7 8	require(survival) mfit <- survfit(Surv(futime, death) ~ sex, data=mgus) # no table of individuals at-risk ggkm(mfit) # with table of individuals at-risk ggkm(mfitm, table = TRUE)