#Object: To generate binary phenotype
#Straitegy: NA
#Output: binary phenotype (0 and 1's)
#intput: genetic effect (x), hertiability (h2) and ratio of 1's (r)
#Authors: Zhiwu Zhang
#Last update: March 18, 2016
##############################################################################################
`GAPIT.BIPH` <-
function(x=0,h2=.5,r=.25){
#To assign probability for given standard normal variable x and h2
#Author: Zhiwu Zhang
#Last update: Febuary 27, 2016
p = stats::pnorm(x)
srp=1-p-r
sh=1/(1-sqrt(h2))
adj=(r-.5)*(1-sqrt(h2))
f=1/(1+exp(sh*srp))+adj
return(f)
}
#=============================================================================================
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