prepare.n1: ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A...
In valorate: Velocity and Accuracy of the LOg-RAnk TEst

Description Usage Arguments Details Value Author(s) References See Also Examples

This method estimates the log-rank distribution for a minor size group equal to n1.

1	prepare.n1(vro, n1)

`vro`	the valorate object.
`n1`	a numerical value (perhaps integer) of the size of the survival group.

This method actually estimates the log-rank distribution for a minor size group equal to n1. This method is internally called by all functions to first check and/or compute the log-rank distribution of n1. It is not intended to be used by final users unless it is intended to prepare the VALORATE object before p-value calculations (perhaps in separated threds or jobs and saving/restoring the object).

The updated valorate object. This is a S4 method operating an object, so the valorate object specified in argument will be updated with the estimations of the distribution of the log-rank for n1 subjects.

Victor Trevino vtrevino@itesm.mx

Trevino et al. 2016 http://bioinformatica.mty.itesm.mx/valorateR

new.valorate. valorate.survdiff.

## Create a random population of 100 subjects 
## having 20 events
subjects <- numeric(100)
subjects[sample(100,20)] <- 1
vo <- new.valorate(rank=subjects, sampling.size=100000)
# and with verbose
vo <- new.valorate(rank=subjects, sampling.size=100000, verbose=TRUE)

## print the initial subpop
ls(vo@subpop) # should be character(0)

## calculate
prepare.n1(vo, 10) # should show messages of partial calculations P(L|k)

## print the current subpop
ls(vo@subpop) #should show now: [1] "subpop10"

names(vo@subpop[["subpop10"]]) #should show the internal names of the estimated subpop