tnsKM,TNS-method {RTNsurvival} | R Documentation

## Kaplan-Meier analysis for TNS class objects

### Description

Creates survival curves and tests if there is a difference between curves using 'survfit' and 'survdiff' functions, respectivelly.

### Usage

    ## S4 method for signature 'TNS'
    tnsKM(tns, regs = NULL, sections = 1, verbose = TRUE)

### Arguments

`tns` | A TNS object, which must have passed GSEA2 analysis.
`regs` | An optional string vector listing regulons to be tested.
`sections` | A numeric value for sample stratification. The larger the number, the more subdivisions will be created for the Kaplan-Meier analysis.
`verbose` | A logical value specifying to display detailed messages (when verbose=TRUE) or not (when verbose=FALSE).

### Value

Results from 'survfit' and 'survdiff', including log-rank statistics.

### Examples

    # load survival data
    data(survival.data)

    # load TNI-object
    data(stni, package = "RTN")

    stns <- tni2tnsPreprocess(stni, survivalData = survival.data,
            keycovar = c('Grade','Age'), time = 1, event = 2)
    stns <- tnsGSEA2(stns)
    stns <- tnsKM(stns)
    tnsGet(stns, "kmTable")

[Package RTNsurvival version 1.11.2 Index]