plot.cpf: Plot method for cpf objects

In Cprob: The Conditional Probability Function of a Competing Event

Description

A plot of conditional probability curves is produced, one for each strata. Pointwise confidence intervals and legend can also be displayed

Usage

## S3 method for class 'cpf'
plot(x, conf.int = FALSE, mark.time = FALSE, mark = 3,
     col = 1, lty, ci.lty = 3, xlim, ylim = c(0, 1),
     xlab = "", ylab = "", bty = "n", legend = TRUE, 
     curvlab = NULL, legend.pos = NULL,
     legend.bty = "n", ...)

Arguments

x	An object of class cpf
conf.int	A logical indicating whether to plot a pointwise confidence interval. Default is FALSE
mark.time	Controls the labelling of the curves. If set to TRUE, then the curves are marked at each occurrence of a competing event
mark	Mark parameter which will be used to label the curve. The same as pch
col	Vector of colours for the curves
lty	Vector of integers specifying the line types
ci.lty	A vector of integer controlling the line types for the pointwise confidence intervals
xlim	x-axis limits for the plot area. Default is c(0, 1)
ylim	y-axis limits for the plot area
xlab	x-axis label
ylab	y-axis label
bty	see par
legend	Whether or nor draw a legend. Default is TRUE
curvlab	Text for legend
legend.pos	Position for the legend. Default is the upper left corner
legend.bty	Box type. See legend
...	Further arguments for plot

Value

No value returned

Author(s)

Arthur Allignol, [e-mail]

See Also

par, cpf

Examples

data(mgus)
mgus$A <- ifelse(mgus$age < 64, 0, 1)

fit <- cpf(Hist(time, ev)~A, mgus)

plot(fit, curvlab = c("Age < 64", "Age >= 64"),
     main = "Conditional Probability of Cancer", xlab = "Years")

Example output

Loading required package: prodlim

Cprob documentation built on May 2, 2019, 9:31 a.m.