Nothing
PlotEstExp <- function(data1, data2,
lambda1.hat, lambda2.hat,
group1.name, group2.name) {
## Plots the survival curves
## under the exponential survival model, i. e.
## S(t) = exp(- lambda * t), lambda > 0, t >= 0,
## with the estimated parameters.
##
## Args:
## data1: Data frame which consists of at least three columns with the group
## in the first (all of group 1),
## status (1 = event, 0 = censored) in the second
## and event time in the third column.
## data2: Data frame which consists of at least three columns with the group
## in the first (all of group 2),
## status (1 = event, 0 = censored) in the second
## and event time in the third column.
## lambda1.hat: Maximum likelihood estimator for lambda1.
## lambda2.hat: Maximum likelihood estimator for lambda2.
## group1.name: Expression for group 1.
## group2.name: Expression for group 2.
##
## Results:
## Plots the survival curves
## under the exponential survival model
## in an 1 x 2 plot array
## in which the first component consists of the Kaplan-Meier curves
## and the second component is still empty.
# range of time for survival curves
# of group 1 and group 2
max1 <- max(data1[, 3])
max2 <- max(data2[, 3])
# choice of suitable stepwidth of time variables
# of group 1 and group 2
if (max1 / 0.01 <= 1000) {
t1 <- seq(from = 0,
to = max1,
by = 0.01)
}
else {
t1 <- seq(from = 0,
to = max1,
length.out = 1000)
}
if (max2 / 0.01 <= 1000) {
t2 <- seq(from = 0,
to = max2,
by = 0.01)
}
else {
t2 <- seq(from = 0,
to = max2,
length.out = 1000)
}
# survival curves of group 1 and group 2
S1 <- exp(- lambda1.hat * t1)
S2 <- exp(- lambda2.hat * t2)
# plot of survival curve of group 1
graphics::lines(x = t1,
y = S1,
col = "blue")
# plot of survival curve of group 2
graphics::lines(x = t2,
y = S2,
col = "green")
graphics::legend(x = "topright",
legend = c(group1.name, group2.name),
col = c("blue", "green"),
lty = c(1, 1),
pch = c(3, 3),
bg = "white")
}
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