View source: R/hazard.ratio.plot.s
| hazard.ratio.plot | R Documentation |
The hazard.ratio.plot function repeatedly estimates Cox
regression coefficients and confidence limits within time intervals.
The log hazard ratios are plotted against the mean failure/censoring
time within the interval. Unless times is specified, the number of
time intervals will be \max(round(d/e),2), where d is the
total number
of events in the sample. Efron's likelihood is used for estimating
Cox regression coefficients (using coxph.fit). In the case of
tied failure times, some intervals may have a point in common.
hazard.ratio.plot(x, Srv, which, times=, e=30, subset,
conf.int=.95, legendloc=NULL, smooth=TRUE, pr=FALSE, pl=TRUE,
add=FALSE, ylim, cex=.5, xlab="t", ylab, antilog=FALSE, ...)
x |
a vector or matrix of predictors |
Srv |
a |
which |
a vector of column numbers of |
times |
optional vector of time interval endpoints.
Example: |
e |
number of events per time interval if times not given |
subset |
vector used for subsetting the entire analysis,
e.g. |
conf.int |
confidence interval coverage |
legendloc |
location for legend. Omit to use mouse, |
smooth |
also plot the super–smoothed version of the log hazard ratios |
pr |
defaults to |
pl |
defaults to |
add |
add this plot to an already existing plot |
ylim |
vector of |
cex |
character size for legend information, default is 0.5 |
xlab |
label for |
ylab |
label for |
antilog |
default is |
... |
optional graphical parameters |
Frank Harrell
Department of Biostatistics, Vanderbilt University
fh@fharrell.com
cox.zph, residuals.cph,
survival-internal, cph,
coxph, Surv
require(survival)
n <- 500
set.seed(1)
age <- 50 + 12*rnorm(n)
cens <- 15*runif(n)
h <- .02*exp(.04*(age-50))
d.time <- -log(runif(n))/h
label(d.time) <- 'Follow-up Time'
e <- ifelse(d.time <= cens,1,0)
d.time <- pmin(d.time, cens)
units(d.time) <- "Year"
hazard.ratio.plot(age, Surv(d.time,e), e=20, legendloc='ll')
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