Hare: hazard regression
Plots a density, distribution function, hazard
function or survival function for
a hare object.
## S3 method for class 'hare' plot(x, cov, n = 100, which = 0, what = "d", time, add = FALSE, xlim, xlab, ylab, type, ...)
x |
|
cov |
a vector of length |
n |
the number of equally spaced points at which to plot the function. |
which |
for which coordinate should the plot be made. 0: time; positive value
i: covariate i. Note that if which is the positive value i, then the
element corresponding to this covariate must be given in |
what |
what should be plotted: |
time |
if which is not equal to 0, the value of time for which the plot should be made. |
add |
should the plot be added to an existing plot? |
xlim |
plotting limits; default is from the maximum of 0 and 10% before the 1st percentile to the minimmum of 10% further than the 99th percentile and the largest observation. |
xlab,ylab |
labels for the axes. Per default no labels are printed. |
type |
plotting type. The default is lines. |
... |
all other plotting options are passed on. |
This function produces a plot of a hare fit at n equally
spaced points roughly covering the support of the density. (Use
xlim=c(from,to) to change the range of these points.)
Charles Kooperberg clk@fredhutch.org.
Charles Kooperberg, Charles J. Stone and Young K. Truong (1995). Hazard regression. Journal of the American Statistical Association, 90, 78-94.
Charles J. Stone, Mark Hansen, Charles Kooperberg, and Young K. Truong. The use of polynomial splines and their tensor products in extended linear modeling (with discussion) (1997). Annals of Statistics, 25, 1371–1470.
fit <- hare(testhare[,1], testhare[,2], testhare[,3:8]) # hazard curve for covariates like case 1 plot(fit, testhare[1,3:8], what = "h") # survival function as a function of covariate 2, for covariates as case 1 at t=3 plot(fit, testhare[1,3:8], which = 2, what = "s", time = 3)
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