plot.survfitJM {JM} | R Documentation |
Produces plots of conditional probabilities of survival.
## S3 method for class 'survfitJM': plot(x, estimator = c("both", "mean", "median"), which = NULL, fun = NULL, conf.int = TRUE, add.last.time.axis.tick = FALSE, include.y = FALSE, main = NULL, xlab = NULL, ylab = NULL, lty = NULL, col = NULL, lwd = NULL, pch = NULL, ask = NULL, legend = FALSE, ...)
x |
an object inheriting from class survfitJM . |
estimator |
character string specifying, whether to include in the plot the mean of the conditional probabilities of survival,
the median or both. The mean and median are taken as estimates of these conditional probabilities over the M replications of the
Monte Carlo scheme described in survfitJM . |
which |
a numeric or character vector specifying for which subjects to produce the plot. If a character vector, then is
should contain a subset of the values of the idVar variable of the newdata argument of survfitJM . |
fun |
a vectorized function defining a transformation of the survival curve. For example with fun=log the log-survival curve
is drawn. |
conf.int |
logical; if TRUE , then a pointwise confidence interval is included in the plot. |
add.last.time.axis.tick |
logical; if TRUE , a tick is added in the x-axis for the last available time point for which a
longitudinal measurement was available. |
include.y |
logical; if TRUE , two plots are produced per subject, i.e., the plot of conditional probabilities of survival
and a scatterplot of his longitudinal measurements. |
main |
a character string specifying the title in the plot. |
xlab |
a character string specifying the x-axis label in the plot. |
ylab |
a character string specifying the y-axis label in the plot. |
lty |
what types of lines to use. |
col |
which colors to use. |
lwd |
the thickness of the lines. |
pch |
the type of points to use. |
ask |
logical; if TRUE , the user is asked before each plot, see par(ask=.) . |
legend |
logical; if TRUE , a legend is included in the plot. |
... |
extra graphical parameters passed to plot() . |
Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl
# linear mixed model fit fitLME <- lme(sqrt(CD4) ~ obstime + obstime:drug, random = ~ 1 | patient, data = aids) # cox model fit fitCOX <- coxph(Surv(Time, death) ~ drug, data = aids.id, x = TRUE) # joint model fit fitJOINT <- jointModel(fitLME, fitCOX, timeVar = "obstime", method = "weibull-PH-GH") # sample of the patients who are still alive ND <- aids[aids$patient == "141", ] ss <- survfitJM(fitJOINT, newdata = ND, idVar = "patient", M = 50) plot(ss) plot(ss, include.y = TRUE, add.last.time.axis.tick = TRUE, legend = TRUE)