Hello,
When I use the quantile-normalization option in Plink I get different results to if I simply input the trait already quantile normalized in R using the following method:
> df$pheno.rank <- rank(df$pheno)
> df$pheno.transformed <- qnorm((df$pheno.rank-0.5)/length(df$pheno.rank))
I was wondering exactly what the quantile-normalization parameter does to phenotypes/covariates that is different to this.
Thanks
Kath