# plot.mvna: Plot method for a mvna object In mvna: Nelson-Aalen Estimator of the Cumulative Hazard in Multistate Models

## Description

Plot method for an object of class `mvna`. This function plots estimates of the cumulative transition hazards in one panel.

## Usage

 ```1 2 3 4 5 6 7 8``` ```## S3 method for class 'mvna' plot(x, tr.choice, xlab = "Time", ylab = "Cumulative Hazard", col = 1, lty, xlim, ylim, conf.int = FALSE, level = 0.95, var.type = c("aalen", "greenwood"), ci.fun = c("log", "linear", "arcsin"), ci.col = col, ci.lty = 3, legend = TRUE, legend.pos, curvlab, legend.bty = "n", ...) ```

## Arguments

 `x` An object of class `mvna`. `tr.choice` A character vector of the form ```c("from to","from to")``` specifying which transitions should be plotted. Default, all the cumulative transition hazards are plotted. `xlab` x-axis label. Default is "Time". `ylab` y-axis label. Default is "Cumulative Hazard". `col` Vector of colour. Default is black. `lty` Vector of line type. Default is 1:number of transitions `xlim` Limits of x-axis for the plot `ylim` Limits of y-axis for the plot `conf.int` Logical. Whether to display pointwise confidence intervals. Default is FALSE. `level` Level of the pointwise confidence intervals. Default is 0.95. `var.type` A character vector specifying the variance that should be used to compute the pointwise confidence intervals. Choices are "aalen" or "greenwood". Default is "aalen". `ci.fun` One of "log", "linear" or "arcsin". Indicates which transformation to apply to the confidence intervals. `ci.col` Colour for the confidence intervals. By default, the colour specified by `col` is used. `ci.lty` Line type for the confidence intervals. Default is 3. `legend` A logical specifying if a legend should be added `legend.pos` A vector giving the legend's position. See `legend` for further details. `curvlab` A character or expression vector to appear in the legend. Default is the name of the transitions. `legend.bty` Box type for the legend. `...` Further arguments for plot method.

## Details

This plot method permits to draw several cumulative transition hazards on the same panel.

## Value

No value returned

## Author(s)

Arthur Allignol arthur.allignol@gmail.com

`mvna`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20``` ```data(sir.cont) # Modification for patients entering and leaving a state # at the same date sir.cont <- sir.cont[order(sir.cont\$id, sir.cont\$time), ] for (i in 2:nrow(sir.cont)) { if (sir.cont\$id[i]==sir.cont\$id[i-1]) { if (sir.cont\$time[i]==sir.cont\$time[i-1]) { sir.cont\$time[i-1] <- sir.cont\$time[i-1] - 0.5 } } } tra <- matrix(ncol=3,nrow=3,FALSE) tra[1, 2:3] <- TRUE tra[2, c(1, 3)] <- TRUE na.cont <- mvna(sir.cont,c("0","1","2"),tra,"cens") plot(na.cont, tr.choice=c("0 2", "1 2")) ```