testSurvival: Test the survival difference between groups of subjects

In nuno-agostinho/psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

Test the survival difference between groups of subjects

Description

Test the survival difference between groups of subjects

Usage

testSurvival(survTerms, ...)

Arguments

survTerms

survTerms object: survival terms obtained after running processSurvTerms (see examples)

...

Arguments passed on to survival::survdiff subset expression indicating which subset of the rows of data should be used in the fit. This can be a logical vector (which is replicated to have length equal to the number of observations), a numeric vector indicating which observation numbers are to be included (or excluded if negative), or a character vector of row names to be included. All observations are included by default. na.action a missing-data filter function. This is applied to the model.frame after any subset argument has been used. Default is options()$na.action. rho a scalar parameter that controls the type of test. timefix process times through the aeqSurv function to eliminate potential roundoff issues.

Value

p-value of the survival difference or NA

Note

Instead of raising errors, returns NA

See Also

Other functions to analyse survival: assignValuePerSubject(), getAttributesTime(), labelBasedOnCutoff(), optimalSurvivalCutoff(), plotSurvivalCurves(), plotSurvivalPvaluesByCutoff(), processSurvTerms(), survdiffTerms(), survfit.survTerms()

Examples

require("survival")
data <- aml
timeStart  <- "event"
event      <- "event"
followup   <- "time"
data$event <- NA
data$event[aml$status == 1] <- aml$time[aml$status == 1]
censoring  <- "right"
formulaStr <- "x"
survTerms <- processSurvTerms(data, censoring=censoring, event=event,
                              timeStart=timeStart, followup=followup,
                              formulaStr=formulaStr)
testSurvival(survTerms)

nuno-agostinho/psichomics documentation built on Feb. 11, 2024, 11:16 p.m.