Description Usage Arguments Value Examples

For all possible separation points for a cohort ordered by a continuous measurement, perform a uni- or multivariate log-rank test

1 2 |

`measure` |
A continuous variable used to order survival data. Samples must be ordered exactly as in srv |

`srv` |
A dataframe that contains at least two columns, detailing event and time to event information. Samples must be ordered exactly as in measure |

`time` |
Column name in srv containing time to event information. Must not contain NAs |

`event` |
Column name in srv containing event information coded as 0 (no event) and 1 (event). Must not contain NAs |

`multiv` |
Univariate analysis is performed by default, however a character string specifying a column contained in srv (or a vector of strings specifying multiple columns) detailing additional variables can be included |

`statistic` |
the statistical test to be used to compute significance. one of "logtest" (likelihood ratio test), "waldtest" (wald statistic) or "sctest" (log-rank test) |

A vector of pvalues calculated from `srv`

ordered by
`measure`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
library(survivALL)
data(nki_subset)
library(Biobase)
gene_vec <- exprs(nki_subset)["NM_004448", ] #ERBB2 gene id
allPvals(measure = gene_vec,
srv = pData(nki_subset),
time = "t.dmfs",
event = "e.dmfs",
statistic = "logtest")
allPvals(measure = gene_vec,
srv = pData(nki_subset),
time = "t.dmfs",
event = "e.dmfs",
multiv = "grade",
statistic = "sctest")
``` |

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