jskm (version 0.5.5)

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

Description

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

Usage

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,
  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),
  ...
)

Value

plot

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

legend

logical. should a legend be added to the plot? Default: TRUE

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)

...

PARAM_DESCRIPTION

Details

DETAILS

Examples

library(survey)
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)