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wbgordon_null.R
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wbgordon_null.R
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#!usr/bin/Rscript
library("umx")
library("tidyverse")
library(parallel)
library(MASS)
#Receiving processed table
edges <- read_delim("./final_table_gordon", col_names=T, delim="\t")
#Change sex to 0 or 1 ##
edges <- mutate(edges, Gender = if_else(Gender=="M", 1, 0))
#Multiply all by 100
edges[,7:dim(edges)[2]] <- edges[,7:dim(edges)[2]]*100
#Sex and age settings
edgenames <- colnames(edges[,7:((length(colnames(edges))/2)+3)])
edges$age1 = edges$age2 = edges$Age
edges$gender1 = edges$gender2 = edges$Gender
#Getting parameters
n=13000
nel=10
for (i in 1:n){
selected_edges <- sample(colnames(edges[,7:ncol(edges)-4]), size=nel, replace=F)
selDVs=gsub('.{1}$','',selected_edges)
tmp = umx_residualize(selDVs, "age", suffixes = 1:2, edges)
edge_resid = suppressWarnings(umx_residualize(selDVs, "gender", suffixes = 1:2, tmp))
edge_resid$Zigosity <- sample(edge_resid$Zigosity) ##Randomize twin types (mono and di)
mzData <- as.data.frame(edge_resid[edge_resid$Zigosity=="MZ",])
dzData <- as.data.frame(edge_resid[edge_resid$Zigosity=="DZ",])
m1 = suppressMessages(umxACEv(selDVs = selDVs, sep = "", dzData = dzData, mzData = mzData))
A1 = (sum(diag(m1$output$algebras$top.A_std)))/nel
C1 = (sum(diag(m1$output$algebras$top.C_std)))/nel
E1 = (sum(diag(m1$output$algebras$top.E_std)))/nel
r <- cbind(A1,C1,E1)
write.table(r,"multivariate_null_gordon.txt", sep="\t", quote=F, append=T, col.names=F, row.names=F)
}