Description Usage Arguments See Also Examples

View source: R/plotNPMLEsurv.R

A function to plot overall and conditional survival/event curve(s) from nonparametric maximum likelihood estimators (NPMLEs) of distribution functions.

1 2 |

`est` |
the output object from the estimated NPMLE |

`dist` |
a character string specified with either "overall" or "cond". The default dist="overall" plots the overall distribution of the event time, and dist="cond" plots the conditional distribution for the logarithm of the event time for susceptible/non-cured subjects. |

`curve` |
a character string specifies the type of desired curves to be plotted. The default curve="survival" plots the survival curves, and. curve="event" plots event curves. |

`type` |
a character string specifies the type of plot, as in plot. |

`xlab` |
the title for x axis. |

`ylab` |
the title for y axis. |

`main` |
the main title of the plot. |

`col` |
a vector of colors. |

`lty` |
a vector of line types. |

`lwd` |
a numeric value specifies the line width. |

`axes` |
a logical value specifies whether axes should be drawn. If axes=FALSE, both x and y axes are not shown . |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
data(simLTICdataA)
##### estimate the NPMLE #####
est=NPMLEsurv(formula=Surv(time1,time2,status)~X1,var.entry="entry",data=simLTICdataA)
### plot estimated survival curves with NPMLE
#win.graph(width=18,height=10)
#par(mfrow=c(1,2))
plot.NPMLE=plotNPMLEsurv(est,lty=c(2,2),col=c("red","blue"))
legend(20,0.4,legend=plot.NPMLE$legend,col=plot.NPMLE$col,lty=plot.NPMLE$lty,
title=" Strata (Case / Total)")
plotD.NPMLE=plotNPMLEsurv(est,dist="cond",lty=c(2,2),col=c("red","blue"))
legend(3,0.4,legend=plotD.NPMLE$legend,col=plotD.NPMLE$col,lty=plotD.NPMLE$lty,
title=" Strata (Case / Total)")
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.