Creates a Weighted Kaplan-Meier plot - svykm.object in survey package

Creates a Weighted Kaplan-Meier plot - svykm.object in survey package

svyjskm(
  sfit,
  theme = NULL,
  xlabs = "Time-to-event",
  ylabs = "Survival probability",
  xlims = NULL,
  ylims = c(0, 1),
  ystratalabs = NULL,
  ystrataname = NULL,
  surv.scale = c("default", "percent"),
  timeby = NULL,
  main = "",
  pval = FALSE,
  pval.size = 5,
  pval.coord = c(NULL, NULL),
  pval.testname = F,
  med = FALSE,
  legend = TRUE,
  legendposition = c(0.85, 0.8),
  ci = NULL,
  linecols = "Set1",
  dashed = FALSE,
  cumhaz = F,
  design = NULL,
  subs = NULL,
  table = F,
  label.nrisk = "Numbers at risk",
  size.label.nrisk = 10,
  cut.landmark = NULL,
  showpercent = F,
  linewidth = 0.75,
  nejm.infigure.ratiow = 0.6,
  nejm.infigure.ratioh = 0.5,
  nejm.infigure.ylim = c(0, 1),
  surv.by = NULL,
  ...
)

Arguments

sfit	a svykm object
theme	Theme of the plot, Default = NULL, "nejm" for NEJMOA style, "jama" for JAMA style
xlabs	x-axis label, Default: 'Time-to-event'
ylabs	y-axis label.
xlims	numeric: list of min and max for x-axis. Default: NULL
ylims	numeric: list of min and max for y-axis. Default: c(0, 1)
ystratalabs	character list. A list of names for each strata. Default: NULL
ystrataname	The legend name. Default: 'Strata'
surv.scale	scale transformation of survival curves. Allowed values are "default" or "percent".
timeby	numeric: control the granularity along the time-axis; defaults to 7 time-points.
main	plot title, Default: ''
pval	logical: add the pvalue to the plot?, Default: FALSE
pval.size	numeric value specifying the p-value text size. Default is 5.
pval.coord	numeric vector, of length 2, specifying the x and y coordinates of the p-value. Default values are NULL
pval.testname	logical: add '(Log-rank)' text to p-value. Default = F
med	should a median line be added to the plot? Default = F
legend	logical. should a legend be added to the plot?
legendposition	numeric. x, y position of the legend if plotted. Default=c(0.85,0.8)
ci	logical. Should confidence intervals be plotted. Default = NULL
linecols	Character or Character vector. Colour brewer pallettes too colour lines. Default ="Set1", "black" for black with dashed line, character vector for the customization of line colors.
dashed	logical. Should a variety of linetypes be used to identify lines. Default: FALSE
cumhaz	Show cumulaive incidence function, Default: F
design	Data design for reactive design data , Default: NULL
subs	= NULL,
table	logical: Create a table graphic below the K-M plot, indicating at-risk numbers?
label.nrisk	Numbers at risk label. Default = "Numbers at risk"
size.label.nrisk	Font size of label.nrisk. Default = 10
cut.landmark	cut-off for landmark analysis, Default = NULL
showpercent	Shows the percentages on the right side.
linewidth	Line witdh, Default = 0.75
nejm.infigure.ratiow	Ratio of infigure width to total width, Default = 0.6
nejm.infigure.ratioh	Ratio of infigure height to total height, Default = 0.5
nejm.infigure.ylim	y-axis limit of infigure, Default = c(0,1)
surv.by	breaks unit in y-axis, default = NULL(ggplot default)
...	PARAM_DESCRIPTION

Value

plot

Details

DETAILS

Examples

library(survey)
#> Loading required package: grid
#> Loading required package: Matrix
#> 
#> Attaching package: ‘survey’
#> The following object is masked from ‘package:graphics’:
#> 
#>     dotchart
data(pbc, package = "survival")
pbc$randomized <- with(pbc, !is.na(trt) & trt > 0)
biasmodel <- glm(randomized ~ age * edema, data = pbc)
pbc$randprob <- fitted(biasmodel)
dpbc <- svydesign(id = ~1, prob = ~randprob, strata = ~edema, data = subset(pbc, randomized))
s1 <- svykm(Surv(time, status > 0) ~ sex, design = dpbc)
svyjskm(s1)