survdesc: High dimensional univariate cox proportional hazard analysis.

Description Usage Arguments Value Examples

View source: R/survdesc.R

Description

Given the dimension of variables and survival information the function performs uni-variate Cox PH.

Usage

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survdesc(m, n, survdur, event, aic = TRUE, data)

Arguments

m

Starting column number form where study variables of high dimensional data will get selected.

n

Ending column number till where study variables of high dimensional data will get selected.

survdur

Column name of survival duration event, a string value. i.e. "os"

event

Column name of survival event, a string value. i.e "death"

aic

By default aic = FALSE, if aic = TRUE the function returns

data

High dimensional data containing the survival, progression and genomic observations.

Value

A data set containing estimates for variables present in column m to n.

Examples

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##
data(hnscc)
survdesc(m=10,n=50,survdur="os",event="death",aic=TRUE,data=hnscc)
##

SurvHiDim documentation built on June 26, 2021, 5:06 p.m.