R: Plot for an object of class "survCS".

plot.survCS {condSURV} | R Documentation

## Plot for an object of class "survCS".

### Description

It draws the estimated conditional survival probabilities.

### Usage

    ## 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, ...)

### Arguments

`x` | An object of class "survCS".
`y` | `NULL`
`conf` | Draw the confidence intervals into the plot. By default it is `NULL`, they are drawn if the "surv" object contains them.
`type` | The type of plot that should be drawn. See details `par` for possible options. Defaults to "s" for the draw be stair steps.
`conftype` | The type of plot that should be drawn for confidence intervals. See details `par` for possible options. Defaults to "s" for the draw be stair steps.
`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 `par`.
`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 `x` axis: see `title`.
`ylab` | A title for the `y` axis: see `title`.
`ylim` | The `y` limits of the plot.
`xlim` | The `x` limits of the plot.
`...` | Other options.

### Value

No value is returned.

### Author(s)

Luis Meira-Machado and Marta Sestelo

### Examples

    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))

[Package condSURV version 2.0.1 Index]