valorate (version 1.0-5)

valorate.random.n1: ESTIMATES THE LOG-RANK DISTRIBUTION OF RANDOM VECTORS

Description

This method estimates the log-rank distribution for random vectors of size n1.

Usage

valorate.random.n1(vro, n1, simulations=1000)

Value

The vector of log-rank values of size equal to simulations.

Arguments

vro

the valorate object.

n1

a numerical value (perhaps integer) of the size of the survival group.

simulations

a numerical value of the number of simulations to perform.

Author

Victor Trevino

Details

This method estimates the log-rank distribution for a minor size group equal to n1 where the group is randomly and uniformly generated. It is itended to estimate random log-ranks values.

References

Trevino et al. 2016 https://bioinformatics.mx/index.php/bioinfo-tools/

See Also

new.valorate. valorate.survdiff.

Examples

## 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

## generate random log-ranks
valorate.random.n1(vo, 10, 100)