Title Plot npsurv Nonparametric Survival Curves Using ggplot2

# S3 method for class 'npsurv'
ggplot(
  data,
  mapping,
  conf = c("bands", "none"),
  trans = c("identity", "logit", "probit", "loglog"),
  logt = FALSE,
  curtail = c(0, 1),
  xlab,
  ylab = "Survival Probability",
  abbrev.label = FALSE,
  levels.only = TRUE,
  alpha = 0.15,
  facet = FALSE,
  npretty = 10,
  onlydata = FALSE,
  ...,
  environment
)

Arguments

data: the result of npsurv
mapping: unused
conf: set to "none" to suppress confidence bands
trans: the name of a transformation for the survival probabilities to use in drawing the y-axis scale. The default is no transformation, and other choices are "logit", "probit", "loglog". "loglog" represents \(-log(-log(S(t)))\)
logt: set to TRUE to use a log scale for the x-axis
curtail: set to a (lower, upper) 2-vector to curtail survival probabilities and confidence limits before transforming and plotting
xlab: x-axis label, the default coming from fit
ylab: y-axis label, the default coming from fit
abbrev.label: set to TRUE to abbreviate strata levels
levels.only: set to FALSE to keep the original strata name in the levels
alpha: transparency for confidence bands
facet: when strata are present, set to TRUE to facet them rather than using colors on one panel
npretty: the number of major tick mark labels to be constructed by scales::breaks_pretty() or pretty(). For transformed scales, twice this number is used.
onlydata: set to TRUE to return the data frame to be plotted, and no plot
...: ignored
environment: unused

Value

a ggplot2 object, if onlydata=FALSE

Author

Frank Harrell

Examples

set.seed(1)
g <- c(rep('a', 500), rep('b', 500))
y <- exp(-1 + 2 * (g == 'b') + rlogis(1000) / 3)
f <- npsurv(Surv(y) ~ g)
ggplot(f, trans='logit', logt=TRUE)