I have 100 datasets with 20 rows and 2 columns in each dataset.
I am looking for help to produce x and y below as 1000 X 20 matrix and then
repeat that across 100 datasets using R
library(MASS)
library(car)
set.seed(1234)
library(mixtools)
library(sp)
for (k in 1:1){ # k IS THE NO OF DATASETS
Y <- read.csv(file=paste0("MVNfreq",k,".csv"))
Y<-as.matrix(Y)
Y <- ifelse(Y==0,Y+.5,Y)
Y1<-Y/60 # estimates of p
#print(Y1)
sigma2<-matrix(c(var(Y1[,1]),cov(Y1[,1],Y1[,2]),cov(Y1[,1],Y1[,2]),var(Y1[,2])),2,2)
rho<-sigma2[1,2]/sqrt(sigma2[1,1]*sigma2[2,2])
mean(Y1[,1])
mean(Y1[,2])
#within<-matrix(data=0,nrow=20,ncol=1)
for (rate3 in 1:20){
rate<-Y1[i,]
#print(rate)
rate1<-rate/(1-rate)
rate2<-log(rate1)
Sigma11<-(1/(rate[1]*(1-rate[1]))^2)*sigma2[1,1]
Sigma22<-(1/(rate[2]*(1-rate[2]))^2)*sigma2[2,2]
Sigma12<-(1/((rate[1]*(1-rate[1]))*(rate[2]*(1-rate[2]))))*sigma2[1,2]
Sigma2<-matrix(c(Sigma11,Sigma12,Sigma12,Sigma22),2,2)
rate3<-mvrnorm(1000, mu=c(rate2[1],rate2[2]), Sigma2)
x<-exp(rate3[,1])/(1+exp(rate3[,1]))
y<-exp(rate3[,2])/(1+exp(rate3[,2]))
x<-as.data.frame(x)
stack(x) # Need help to stack x into a single matrix
print(x)
print(y)
}
}
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