plot.survCS | R Documentation |
It draws the estimated conditional survival probabilities.
## S3 method for class 'survCS' plot( x = object, y = NULL, conf = NULL, type = NULL, conftype = NULL, col = 1:6, confcol = 1:6, lty = 1, conflty = 2, xlab = "Time", ylab = "Survival", ylim = NULL, xlim = NULL, ... )
x |
An object of class "survCS". |
y |
|
conf |
Draw the confidence intervals into the plot. By default it is
|
type |
The type of plot that should be drawn. See details
|
conftype |
The type of plot that should be drawn for confidence
intervals. See details |
col |
Vector of colors. Colors are used cyclically. |
confcol |
Vector of colors for the confidence intervals. Colors are used cyclically. |
lty |
The line type. Line types can either be specified as an integer
(0 = blank, 1 = solid (default), 2 = dashed, 3 = dotted, 4 = dotdash, 5 =
longdash, 6 = twodash). See details in |
conflty |
The line type for confidence intervals. Line types can either be specified as an integer (0 = blank, 1 = solid (default), 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash). |
xlab |
A title for the |
ylab |
A title for the |
ylim |
The |
xlim |
The |
... |
Other options. |
No value is returned.
Luis Meira-Machado and Marta Sestelo
fit1 <- survCOND(survCS(time1, event1, Stime, event) ~ 1, x = 365, data = colonCS, method = "LDM", conf = TRUE) plot(fit1, xlab = "Time (days)", ylab = "S(y|365)", ylim = c(0.5, 1)) fit4 <- survCOND(survCS(time1, event1, Stime, event) ~ rx, x = 365, data = colonCS, method = "LDM") plot(fit4, xlab = "Time (days)", ylab = "S(y|365)", ylim = c(0.5, 1))
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