SeltcEch: Resampling

In SPmlficmcm: Semiparametric Maximum Likelihood Method for Interactions Gene-Environment in Case-Mother Control-Mother Designs

Description

The function draws randomly n1+n0 individuals among N1 + N0 individuals with N0 > n0 representing the numbers of non-cases and N1 > n1 representing the number of cases.

Usage

SeltcEch(outc, n1, n0, id, datf)

Arguments

outc	Outcome variable (0,1).
n1	Numeric value representing the number of cases.
n0	Numeric value representing the number of controls.
id	Identifying number of the mother-child pair.
datf	data.frame of the database.

Details

The function uses the sample function to resample the database.

Value

A data.frame with n0 + n1 rows.

See Also

sample

Examples

set.seed(13200)
   M=5000;
   fl1=outc~Z1+Z2+Gm+Gc+Z2:Gm;
   vpo=c(3,4)
   vprob=c(0.35,0.55)
   vcorr=c(2,1)
   theta=0.3
   beta=c(-0.916,0.857,0.405,-0.693,0.573)
   interc=-2.23
   Dataf<-FtSmlrmCMCM(fl1,M,theta,beta,interc,vpo,vprob,vcorr)        
   # Number of subjects eligible to the study in the population
   N0=dim(Dataf[Dataf["outc"]==0,])[1];
   N1=dim(Dataf[Dataf["outc"]==1,])[1]
   N=c(N0,N1)          
   # Sampling of the study database  
   n0=308
   n1=83 
   DatfE1<-SeltcEch("outc",n1,n0,"obs",Dataf)
   DatfE1[1:10,] 

SPmlficmcm documentation built on May 2, 2019, 6:14 a.m.