| survdesc {SurvHiDim} | R Documentation | 
High dimensional univariate cox proportional hazard analysis.
Description
Given the dimension of variables and survival information the function performs uni-variate Cox PH.
Usage
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
##
data(hnscc)
survdesc(m=10,n=50,survdur="os",event="death",aic=TRUE,data=hnscc)
##
[Package SurvHiDim version 0.1.1 Index]